CN112581749A

CN112581749A - Method, system and device for obtaining vehicle resource occupation information and electronic equipment

Info

Publication number: CN112581749A
Application number: CN201910861235.2A
Authority: CN
Inventors: 陈颖; 李扬彦; 王振华; 单单
Original assignee: Alibaba Group Holding Ltd
Current assignee: Wuzhou Online E Commerce Beijing Co ltd
Priority date: 2019-09-12
Filing date: 2019-09-12
Publication date: 2021-03-30
Anticipated expiration: 2039-09-12
Also published as: CN112581749B

Abstract

The embodiment of the application discloses a method, a system and a device for obtaining vehicle resource occupation information and electronic equipment. The method comprises the following steps: the method comprises the steps that a first client side obtains relevant data of a vehicle driving on a road, sensed by intelligent road side equipment; obtaining identification information of the vehicle according to the related data; and sending the identification information of the vehicle to a first service end so that the first service end can determine the resource occupation information of the vehicle. According to the scheme, the implementation process is simple and convenient, and multi-party transformation of the vehicle and the lane is not needed.

Description

Method, system and device for obtaining vehicle resource occupation information and electronic equipment

Technical Field

The present application relates to the field of vehicle information processing technologies, and in particular, to a method, a system, an apparatus, and an electronic device for obtaining vehicle resource occupancy information.

Background

In order to obtain the resource occupation condition of the vehicle, a toll station can be usually arranged at a specified position of the road, and the toll station is used for collecting the toll fee for the passing vehicle, namely the fee for the vehicle to occupy the road resource. Taking a highway scene as an example, toll stations can be arranged at the entrance and exit, provincial boundary and the like of the highway, so as to determine the resource occupation information of the vehicles on the highway and further charge the resources occupation fee for the vehicles.

At present, it is common to obtain resource occupation information of a vehicle based on an ETC (Electronic Toll Collection) system and implement Electronic Toll Collection. Specifically, the vehicle-mounted electronic tag installed on the vehicle windshield can perform microwave special short-range communication with a microwave antenna installed on an ETC lane of a toll station to obtain resource occupation information of the vehicle, and performs background settlement processing with a bank through a computer networking technology, so that the purpose that the vehicle can pay the resource occupation fee without parking through the toll station is achieved, and the passing efficiency of the vehicle at the toll station is improved.

In the above implementation, in addition to the need to handle a dedicated ETC electronic tag, a double modification of the vehicle and the lane is also required. For the vehicle, need install the ETC car-mounted ware additional to insert ETC electronic tags in the draw-in groove of ETC car-mounted ware, can carry out unique sign to the vehicle of installing this label through the ETC electronic tags. For the lane, a microwave antenna needs to be erected on the existing lane of the toll station, and the lane is modified into a special ETC lane. After so transforming, when the vehicle passes on the ETC lane, microwave antenna on the ETC lane alright with on-vehicle ETC electronic tags communication, obtain the identification information of vehicle, and then confirm the resource occupation information of vehicle, carry out the electron charge to the vehicle, realize not stopping and collect fee.

In addition, the lane transformation can be embodied by embedding an induction coil below the ETC lane road surface, and whether a vehicle passes through the induction coil can be determined through the change of the magnetic flux of the induction coil. Therefore, when a plurality of vehicles to be paid pass through the ETC lane in sequence, the terminal equipment associated with the toll collector obtains the information that the vehicle passes through and is detected by the induction coil and the identification information of the electronic tag communicated with the microwave antenna, and then the vehicle corresponding to the identification information of the electronic tag can be associated with the vehicle passing through the induction coil at present, so that the target vehicle which is performing card swiping and payment is determined from the plurality of vehicles to be paid.

In conclusion, when the ETC system is used for obtaining the resource occupation information of the vehicle, multi-party transformation is needed, and the construction cost and the time cost involved in the transformation are high. In addition, the practical application shows that the vehicle still needs to slow down and slowly move when passing through the ETC lane at the toll station, and the improvement range of the passing efficiency is limited.

Disclosure of Invention

The application provides a method, a system, a device and electronic equipment for obtaining vehicle resource occupation information, which can utilize relevant data sensed by intelligent road side equipment to obtain identification information of a vehicle, and further determine the resource occupation information of the vehicle with the identification information, and have the advantages of simple and convenient realization process and no need of multi-party transformation.

The application provides the following scheme:

a system for obtaining vehicle resource occupancy information, the system comprising:

a first client and a first server,

the first client is used for acquiring relevant data of a vehicle driving on a road sensed by the intelligent road side equipment and sending identification information of the vehicle acquired according to the relevant data to the first service end;

the first server is used for determining the resource occupation information of the vehicle with the identification information.

A method of obtaining vehicle resource occupancy information, comprising:

the method comprises the steps that a first client side obtains relevant data of a vehicle driving on a road, sensed by intelligent road side equipment;

obtaining identification information of the vehicle according to the related data;

and sending the identification information of the vehicle to a first service end so that the first service end can determine the resource occupation information of the vehicle.

A method of obtaining vehicle resource occupancy information, comprising:

the method comprises the steps that a first service end receives identification information of a vehicle submitted by a first client, wherein the identification information of the vehicle is obtained by the first client from relevant data of the vehicle running on a road, and the relevant data are sensed by intelligent road side equipment;

and determining the resource occupation information of the vehicle with the identification information.

A method for determining an anomalous vehicle, comprising:

the second server side obtains a vehicle information base, and legal vehicle characteristic information related to license plate information is stored in the vehicle information base;

receiving data related to a vehicle submitted by a first client, and extracting license plate information and characteristic information of the vehicle to be verified from the data, wherein the data related to the vehicle is extracted from related data sensed by intelligent road side equipment by the first client when the vehicle has abnormal traffic behaviors at a station;

obtaining legal vehicle characteristic information associated with the license plate information from the vehicle information base;

and if the characteristic information of the vehicle to be verified does not accord with the characteristic information of the legal vehicle, determining that the vehicle is an abnormal vehicle.

A method of obtaining vehicle resource occupancy information, comprising:

obtaining identification information and first position information of the vehicle according to the related data;

and sending the identification information and the first position information of the vehicle to the first service end so that the first service end can determine the resource occupation information of the vehicle according to the first position information.

A method of obtaining vehicle resource occupancy information, comprising:

the method comprises the steps that a first service end receives identification information and first position information of a vehicle submitted by a first client end, wherein the identification information and the first position information of the vehicle are obtained by the first client end from relevant data of the vehicle running on a road sensed by intelligent road side equipment;

if second position information associated with the identification information of the vehicle is obtained, determining resource calculation mode information associated with a road section between the first position and the second position;

and determining the resource occupation information of the vehicle according to the resource calculation mode information.

A method of obtaining vehicle resource occupancy information, comprising:

the method comprises the steps that a first client side obtains relevant data of vehicles in a driving area sensed by intelligent road side equipment;

and sending the identification information and the first position information of the vehicle to a first service end so that the first service end can determine the resource occupation information of the vehicle.

A method of obtaining vehicle resource occupancy information, comprising:

the method comprises the steps that a first service end receives identification information and first position information of a vehicle submitted by a first client end, wherein the identification information and the first position information of the vehicle are obtained by the first client end from relevant data of the vehicle in a driving area sensed by intelligent road side equipment;

if second position information associated with the identification information of the vehicle is obtained, determining resource calculation mode information associated with the driving area;

An information push method, comprising:

and sending the first position information to a second client associated with the identification information of the vehicle, so that the second client can determine the resource occupation information of the vehicle and push the information.

An information push method, comprising:

the method comprises the steps that a second client receives first position information of a vehicle related to the second client, wherein the first position information is sent by a first client, and the first position information is obtained by the first client from related data of the vehicle running on a road, and is sensed by intelligent road side equipment;

if second position information associated with the vehicle is obtained, determining resource calculation mode information of road section association between the first position and the second position;

and determining the resource occupation information of the vehicle according to the resource calculation mode information, and pushing the information of the vehicle.

An apparatus for obtaining vehicle resource occupation information, applied to a first client, includes:

the system comprises a related data obtaining unit, a processing unit and a processing unit, wherein the related data obtaining unit is used for obtaining related data of a vehicle driving on a road, which is sensed by the intelligent road side equipment;

an identification information obtaining unit configured to obtain identification information of the vehicle based on the related data;

and the identification information sending unit is used for sending the identification information of the vehicle to a first service end so that the first service end can determine the resource occupation information of the vehicle.

An apparatus for obtaining vehicle resource occupation information, applied to a first service end, comprises:

the system comprises an identification information receiving unit, a first client side and a second client side, wherein the identification information receiving unit is used for receiving identification information of a vehicle submitted by the first client side, and the identification information of the vehicle is obtained by the first client side from related data of the vehicle running on a road sensed by the intelligent road side equipment;

and the resource occupation information determining unit is used for determining the resource occupation information of the vehicle with the identification information.

An apparatus for determining an abnormal vehicle, applied to a second server, comprises:

the system comprises a vehicle information base obtaining unit, a vehicle information base obtaining unit and a vehicle information base obtaining unit, wherein the vehicle information base is used for obtaining a vehicle information base, and legal vehicle characteristic information related to license plate information is stored in the vehicle information base;

the data receiving unit is used for receiving data which are submitted by a first client and related to the vehicle, extracting license plate information of the vehicle and characteristic information of the vehicle to be verified from the data, and the data which are related to the vehicle are extracted from the related data which are sensed by the intelligent road side equipment by the first client when the vehicle has abnormal traffic behaviors at a station

A legal information obtaining unit, configured to obtain legal vehicle feature information associated with the license plate information from the vehicle information base;

and the abnormal vehicle determining unit is used for determining that the vehicle is an abnormal vehicle if the characteristic information of the vehicle to be verified and the characteristic information of the legal vehicle do not accord with each other.

the information obtaining unit is used for obtaining the identification information and the first position information of the vehicle according to the related data;

and the information sending unit is used for sending the identification information and the first position information of the vehicle to the first service end so that the first service end can determine the resource occupation information of the vehicle according to the first position information.

the information receiving unit is used for receiving identification information and first position information of a vehicle submitted by a first client, wherein the identification information and the first position information of the vehicle are acquired by the first client from data related to the vehicle running on a road and sensed by intelligent road side equipment;

a resource calculation manner information determination unit configured to determine resource calculation manner information associated with a link between the first location and the second location when second location information associated with the identification information of the vehicle is obtained;

and the resource occupation information determining unit is used for determining the resource occupation information of the vehicle according to the resource calculation mode information.

the system comprises a related data obtaining unit, a driving area obtaining unit and a driving area judging unit, wherein the related data obtaining unit is used for obtaining related data of vehicles in the driving area sensed by intelligent road side equipment by a first client;

the information sending unit is used for sending the identification information and the first position information of the vehicle to a first service end so that the first service end can determine the resource occupation information of the vehicle.

the information receiving unit is used for receiving identification information and first position information of a vehicle submitted by a first client, wherein the identification information and the first position information of the vehicle are acquired by the first client from data related to the vehicle in a driving area sensed by intelligent road side equipment;

the resource calculation mode information determining unit is used for determining the resource calculation mode information related to the driving area when the second position information related to the identification information of the vehicle is obtained;

An information pushing device applied to a first client comprises:

and the information sending unit is used for sending the first position information to a second client associated with the identification information of the vehicle, so that the second client can determine the resource occupation information of the vehicle and push the information.

An information pushing device applied to a second client comprises:

the position information receiving unit is used for receiving first position information of the vehicle related to the second client, which is sent by a first client, wherein the first position information is obtained by the first client from data related to the vehicle running on the road and sensed by the intelligent road side equipment;

a resource calculation manner information determination unit configured to determine resource calculation manner information of a link association between the first location and the second location when second location information associated with the vehicle is obtained;

and the information pushing unit is used for determining the resource occupation information of the vehicle according to the resource calculation mode information and pushing the information of the vehicle.

An electronic device, comprising:

one or more processors; and

a memory associated with the one or more processors for storing program instructions that, when read and executed by the one or more processors, perform operations comprising:

acquiring relevant data of a vehicle driving on a road sensed by intelligent road side equipment;

An electronic device, comprising:

one or more processors; and

receiving identification information of a vehicle submitted by a first client, wherein the identification information of the vehicle is obtained by the first client from relevant data of the vehicle running on a road sensed by intelligent road side equipment;

An electronic device, comprising:

one or more processors; and

obtaining a vehicle information base, wherein legal vehicle characteristic information related to license plate information is stored in the vehicle information base;

An electronic device, comprising:

one or more processors; and

An electronic device, comprising:

one or more processors; and

receiving identification information and first position information of a vehicle submitted by a first client, wherein the identification information and the first position information of the vehicle are acquired by the first client from relevant data of the vehicle running on a road sensed by intelligent road side equipment;

An electronic device, comprising:

one or more processors; and

acquiring relevant data of vehicles in a driving area sensed by intelligent road side equipment;

An electronic device, comprising:

one or more processors; and

receiving identification information and first position information of a vehicle submitted by a first client, wherein the identification information and the first position information of the vehicle are acquired by the first client from data related to the vehicle in a driving area sensed by intelligent road side equipment;

An electronic device, comprising:

one or more processors; and

An electronic device, comprising:

one or more processors; and

receiving first position information of a vehicle related to a second client, which is sent by a first client, wherein the first position information is obtained by the first client from data related to the vehicle running on a road and sensed by intelligent road side equipment;

According to the specific embodiments provided herein, the present application discloses the following technical effects:

according to the embodiment of the application, the intelligent road side equipment arranged on the road side can sense the relevant data of the vehicle running on the road, the first client side obtains the identification information of the vehicle from the relevant data sensed by the intelligent road side equipment, and the identification information is submitted to the first server side for subsequent processing. For the first service end, after receiving the identification information of the vehicle submitted by the first client end, the resource occupation information of the vehicle with the identification information can be determined. The resource occupation information of the vehicle can be embodied as whether the vehicle occupies the road resource. In addition, after the first server side obtains the information of the first station associated with the position of the vehicle submitted by the first client side, quantitative processing can be carried out on the resource occupation condition of the vehicle. The scheme for determining the resource occupation information has the advantages of simple and convenient implementation process and no need of multi-party transformation of vehicles, lanes and the like.

Of course, it is not necessary for any product to achieve all of the above-described advantages at the same time for the practice of the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.

FIG. 1 is a schematic diagram of a site layout provided by an embodiment of the present application;

FIG. 2 is a schematic diagram of a first method provided by an embodiment of the present application;

fig. 3 is a schematic layout diagram of an intelligent roadside device provided in an embodiment of the present application;

FIG. 4 is a flow chart of a second method provided by an embodiment of the present application;

FIG. 5 is a flow chart of a third method provided by embodiments of the present application;

FIG. 6 is a flow chart of a fourth method provided by embodiments of the present application;

FIG. 7 is a flow chart of a fifth method provided by embodiments of the present application;

FIG. 8 is a flow chart of a sixth method provided by embodiments of the present application;

FIG. 9 is a flow chart of a seventh method provided by embodiments of the present application;

FIG. 10 is a flow chart of an eighth method provided by embodiments of the present application;

FIG. 11 is a flow chart of a ninth method provided by embodiments of the present application;

FIG. 12 is a schematic diagram of a tenth method provided by embodiments of the present application;

FIG. 13 is a flow chart of an eleventh method provided by an embodiment of the present application;

FIG. 14 is a flow chart of a twelfth method provided by embodiments of the present application;

fig. 15 is a flow chart of a thirteenth method provided by an embodiment of the present application;

FIG. 16 is a schematic view of a first apparatus provided by an embodiment of the present application;

FIG. 17 is a schematic view of a second apparatus provided by an embodiment of the present application;

FIG. 18 is a schematic view of a third apparatus provided by an embodiment of the present application;

FIG. 19 is a schematic diagram of a fourth apparatus provided by an embodiment of the present application;

FIG. 20 is a schematic view of a fifth apparatus provided by an embodiment of the present application;

FIG. 21 is a schematic view of a sixth apparatus provided by an embodiment of the present application;

FIG. 22 is a schematic view of a seventh apparatus provided by an embodiment of the present application;

FIG. 23 is a schematic view of an eighth apparatus provided by an embodiment of the present application;

FIG. 24 is a schematic view of a ninth apparatus provided by an embodiment of the present application;

FIG. 25 is a schematic diagram of an architecture of a computer system provided by an embodiment of the present application;

fig. 26 is a schematic diagram of an architecture of an electronic device provided in an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived from the embodiments given herein by a person of ordinary skill in the art are intended to be within the scope of the present disclosure.

In order to facilitate understanding of the specific implementation scheme provided in the embodiment of the present application, a brief description is first given to a specific scenario of the scheme.

An intelligent Vehicle-road Cooperative system (IVICS) is the latest development direction of an intelligent traffic system, can realize real-time interaction of information between vehicles and a Vehicle road based on a wireless communication technology and an internet technology, and is beneficial to realizing a plurality of applications such as advanced auxiliary driving, intelligent traffic and the like.

Intelligent Roadside equipment ire (intelligent Roadside equipment) in the intelligent vehicle-road cooperative system, which can also be called a perception base station, can be deployed at the Roadside and collects environmental information in a coverage area in real time. As an example, the intelligent roadside apparatus may include at least a roadside unit rsu (road Side unit) and a roadside sensor.

For the road side unit RSU, the intelligent road side device IRE may be provided with communication capability. For example, an IRE may communicate with a neighboring IRE, an On-Board Unit (OBU) loaded by a nearby vehicle, a cloud server, etc. via an RSU.

For the roadside sensor, the intelligent roadside device IRE can be provided with sensing capability. By perception capability, it is understood the ability to continuously observe or measure the state of traffic participants and the road conditions in a road traffic environment. As one example, the traffic participants may include vehicles or the like traveling on a road, the states of the traffic participants may include positions, speeds, accelerations, orientations, movement trajectories, and the like, and the road conditions may include road boundaries, feasible areas, lane line information, traffic sign information, and the like.

According to the embodiment of the application, the identification information of the vehicle can be obtained based on the relevant data of the vehicle sensed by the intelligent road side equipment, so that the resource occupation information of the vehicle with the identification information is determined, the implementation process is simple and convenient, and the vehicle and the lane do not need to be transformed in multiple ways according to the prior art.

The following explains an implementation manner of obtaining resource occupancy information of a vehicle according to the embodiment of the present application, with reference to a specific application scenario.

Example 1

As an example, the system for obtaining the vehicle resource occupation information may include a first client and a first server, which cooperate with each other to obtain the resource occupation information of the vehicle running on the road. For example, when the vehicle is traveling on a highway, the resource occupation information of the vehicle on the highway can be obtained.

In this embodiment, the intelligent roadside device may be disposed at the roadside to sense data related to a vehicle traveling on the road. For example, intelligent roadside devices may be arranged on the roadside at preset intervals; alternatively, the intelligent road-side devices may be arranged according to the positions of the stations arranged on the road, that is, if the stations such as toll stations, service areas and the like are arranged on the road, the intelligent road-side devices may be arranged near the stations to sense the relevant data of the vehicles to pass through the stations. The embodiment of the application does not specifically limit the layout mode of the intelligent road side equipment.

The first client can be deployed on the intelligent road side equipment, and after the relevant data of the vehicle running on the road sensed by the intelligent road side equipment is obtained, the identification information of the vehicle is obtained according to the relevant data, and the identification information of the vehicle is sent to the first service end. The first server can be deployed on the cloud server, and after the identification information of the vehicle submitted by the first client is obtained, the resource occupation information of the vehicle with the identification information is determined.

In this embodiment, the resource occupation information of the vehicle may be embodied as whether the vehicle occupies the road resource. For example, for the vehicle 1 traveling on the expressway, after the first server obtains the identification information of the vehicle 1, the determined resource occupation information may be: the vehicle 1 is occupying highway resources.

In addition, considering that the first client is deployed on which intelligent road side equipment and the intelligent road side equipment is deployed on which road side, the association relations are relatively fixed after the system is built, so that a road information base can be created in advance, and identification information of roads respectively associated with different first clients is stored through the road information base. Therefore, after the first service end receives the identification information of the vehicle submitted by the first client, the first service end can determine that the vehicle occupies road resources, and can also obtain the identification information of the road associated with the first client, so as to determine which road the vehicle occupies. For example, the first client a is associated with the highway 1, and after the first server obtains the identification information of the vehicle 1 submitted by the first client a, the determined resource occupation information may be: the vehicle 1 is occupying the road resources of the highway 1. The road information base may be created by the first service end, or may be created by another service end and then provided to the first service end, which is not specifically limited in this embodiment of the application.

Alternatively, the association relationship between the first client and the road may be stored locally at the first client, and the first client submits the identification information of the road associated with the first client to the first service end. That is, in the above example, the first client a may submit the identification information of the vehicle 1 and the identification information of the expressway 1 to the first service end, so that the first service end obtains the following resource occupation information: the vehicle 1 is occupying the road resources of the highway 1.

Preferably, the resource occupation information of the vehicle may also be embodied as a resource occupation value, that is, the resource occupation condition of the vehicle may be quantized through the resource occupation value. The following illustrates an implementation process for obtaining the resource occupancy value.

As an example, if at least two stations are set on a road, a road occupied by a vehicle may be determined according to the stations through which the vehicle passes, and then a resource occupation value of the vehicle may be obtained according to resource calculation manner information corresponding to the occupied road.

Specifically, the first client may obtain information of a first station associated with the location of the vehicle (for example, determine a station closest to the location of the vehicle as the first station), and submit the information to the first service end, so that the first service end determines the resource occupation information of the vehicle according to the information of the first station. The information of the first station may be embodied as identification information of the station, for example, a name, a number, and the like of the station; alternatively, the information of the first station may be embodied as type information of a road where the station is located, for example, national road, provincial road, and the like.

In one mode, if the station is set in the sensing range of the intelligent road side device, the first client may obtain information of the first station related to the position of the vehicle from the relevant data sensed by the intelligent road side device through an image recognition technology.

Or, in another mode, considering that the first client is deployed on which intelligent road side device, the intelligent road side device is deployed near which site, and where the site is deployed on the road, after the system is built, the association relations are relatively fixed, so that the information of the site associated with the first client can be locally stored in the first client in advance. In this way, when it is determined that the vehicle runs to the perception range of the intelligent road side device, the station associated with the first client can be determined as the first station associated with the position of the vehicle, and the information of the first station is submitted to the first server for subsequent processing.

For the first service end, after receiving the identification information of the vehicle and the information of the first station sent by the first client, it may be determined whether the information of the second station associated with the identification information of the vehicle can be obtained. If the information of the second station is obtained, the first station can be determined as a resource occupation end point (if the road occupied by the vehicle adopts the whole-course mode to perform resource calculation, the vehicle can possibly drive away from the occupied road through the first station at the moment), if the road occupied by the vehicle adopts the segmented mode to perform resource calculation, the vehicle can possibly drive away from the current segmented road section through the first station at the moment), the resource calculation mode information related to the road section between the first station and the second station can be obtained, and the resource occupation value of the vehicle is determined according to the resource calculation mode information.

If the information of the second station is not obtained, the first station can be determined as a resource occupation starting point (if the road occupied by the vehicle is subjected to resource calculation in a whole course mode, the vehicle can possibly drive into the road through the first station; and if the road occupied by the vehicle is subjected to resource calculation in a segmented mode, the vehicle can possibly drive into a new segmented road section through the first station), and the first server side can store the association relation between the identification information of the vehicle and the information of the first station, so that when the information of a third station (which can be used as a resource occupation destination) passed by the vehicle is obtained, the resource calculation mode information associated with the road section between the first station and the third station is determined, and the resource occupation value of the vehicle on the road section is further obtained.

Referring to the station layout diagram shown in fig. 1, a station 2, and a station 3 are disposed on a highway 1. If the expressway 1 adopts a segmentation mode to calculate the resources, the process of determining the resource occupation value can be embodied as follows:

when the vehicle 1 passes through the station 1, a first client deployed on intelligent roadside equipment arranged near the station 1 may submit the identification information of the vehicle 1 and the identification information of the station 1 to a first service end. The first service end determines that the identification information of the vehicle 1 is not related to the identification information of other stations, can determine the station 1 as a resource occupation starting point, and stores the association relationship between the identification information of the vehicle 1 and the identification information of the station 1.

When the vehicle 1 continues to travel to the station 2 through the station 1, a first client deployed on intelligent roadside equipment arranged near the station 2 may submit the identification information of the vehicle 1 and the identification information of the station 2 to a first service end. The first service end determines that the identification information of the vehicle 1 is associated with the identification information of the station 1, so that the station 2 can be determined as the resource occupation end point of the current segmented road section, and the resource occupation value 1 of the vehicle is determined according to the resource calculation mode information associated with the road section between the station 1 and the station 2.

If it is determined that the vehicle 1 passes through the station 2 and then drives off the expressway 1 according to the position information of the vehicle 1, the first service end may determine that the vehicle 1 ends the resource occupation of the expressway 1. If the vehicle 1 does not leave the expressway 1 after passing through the station 2, that is, when the vehicle 1 enters a new segmented road section, the first service end may determine the station 2 as a resource occupation starting point, store the association relationship between the identification information of the vehicle 1 and the identification information of the station 2, so that when the vehicle 1 travels to the station 3, the first client deployed on the intelligent road side device arranged near the station 3 submits the identification information of the vehicle 1 and the identification information of the station 3 to the first service end, and the first service end determines the resource occupation value 2 corresponding to the vehicle 1 on the new segmented road section (the road section between the station 2 and the station 3).

The resource calculation method information in the embodiment of the present application may be embodied in various forms, which are described below by way of example.

For example, the resource calculation mode information may be embodied as a resource occupation value associated between two different stations laid on a road. Taking the site 1, the site 2, and the site 3 laid on the highway 1 as an example, the corresponding resource calculation mode information may be as shown in table 1 below.

TABLE 1

Identification information of a station	Identification information of a station	Value of resource occupation
			Station 1	Station 2	Resource occupation value A
Station 2	Station 3	Resource occupation value B
			Station 1	Station 3	Resource occupation value C

In the above example, if the expressway 1 performs resource calculation in a segmented manner, when the vehicle 1 travels from the station 1 to the station 2, the resource occupancy value 1 of the vehicle 1 may be determined to be the value a through the table 1.

Alternatively, the resource calculation mode information may be embodied as a resource occupation value corresponding to a unit distance (which may be set according to actual application requirements, for example, the unit distance is set to 100 meters). As an example, the resource calculation manner information may be represented as a resource occupation value corresponding to a unit distance of different types of roads, as shown in table 2 below.

TABLE 2

Type information of road	Resource occupation value per unit distance
		National road	Value of resource occupation D
Way of province	Value of resource occupation E

If the type information of the road occupied by the vehicle driving from the second station to the first station is national road, the resource occupation numerical value corresponding to the unit distance can be determined to be a numerical value D through the table 2, and the first service end can obtain the resource occupation numerical value of the vehicle driving from the second station to the first station according to the distance information corresponding to the road section between the first station and the second station and the numerical value D.

Preferably, the first server may further implement time-share resource calculation by setting resource calculation coefficients associated with different time shares. For example, the resource calculation coefficient of each time interval may be set to 1 in general, and the resource occupancy value of the time interval corresponding to the coefficient may be dynamically adjusted by adjusting the coefficient when necessary. For example, to alleviate road stress and encourage peak-off trips, the resource calculation coefficient of the resource occupancy peak period may be set to be greater than 1.

It should be noted that the station in the embodiment of the present application may be embodied as a toll gate disposed on a road. When the vehicle passes through the toll station, the resource occupation information of the vehicle can be determined according to the method introduced above, electronic toll collection is carried out, the implementation process is simple and convenient, and the vehicle and the lane do not need to be transformed in multiple ways as in the prior art.

The following explains the implementation process of determining the resource occupation information of the vehicle according to the station information and performing vehicle passing processing according to the resource occupation information with reference to the flowchart shown in fig. 2.

Example 2

S101: the first client obtains relevant data of vehicles driving on the road sensed by the intelligent road side equipment.

As an example, if the roadside sensor in the intelligent roadside device is a camera, in the embodiment of the present application, the data related to the vehicle sensed by the intelligent roadside device may be embodied as video data of the vehicle running on a road, which is captured by the camera. The roadside sensor can comprise a first camera facing the direction in which the vehicle comes, and is used for shooting information related to the head of the vehicle running on the target road; alternatively, the roadside sensor may include a second camera, which is directed toward a direction in which the vehicle is driven away, for photographing information about a rear of the vehicle driven on the target road; or, in order to avoid that the close vehicles are mutually shielded, so that the relevant information of the vehicle cannot be shot in a single direction, the roadside sensor may include the first camera and the second camera.

In the embodiment of the application, if at least one intelligent road side device is arranged on the road side of the road occupied by the vehicle, the first client side can perform vehicle identity recognition according to the related data of the vehicle sensed by the at least one intelligent road side device, obtain the identification information of the vehicle and submit the identification information to the first service side, and the first service side determines the resource occupation information of the vehicle. That is to say, need not to reform transform vehicle and lane, the resource occupation information of accessible simple convenient acquisition vehicle.

Preferably, in order to improve the efficiency of determining the resource occupation information in the embodiment of the present application, the first client may be locally deployed, for example, the first client is deployed on the intelligent roadside device, the identification information of the vehicle is obtained in an edge calculation manner, and then is submitted to the first server for subsequent processing, which is beneficial to improving the efficiency of data transmission and data processing.

Specifically, the identification information of the vehicle is obtained through an edge computing mode, so that on one hand, the requirement of uploading sensed related data to a cloud end for huge real-time bandwidth can be avoided, and information leakage caused by network transmission of sensitive data can be avoided. On the other hand, vehicle identification is realized at the edge end, which is also beneficial to improving the data processing speed and providing faster response. Particularly when the vehicle passes through a station provided with a gate, the adoption of the edge calculation is also beneficial to realizing non-inductive passing (namely, the vehicle does not need to slow down when passing through the station), and further the passing efficiency of the vehicle at the station is improved.

In this embodiment, for different application scenarios, different numbers of intelligent road side devices may be arranged near the station, and the related data of the vehicles running within the respective sensing ranges are respectively collected. The perception range of the intelligent road side equipment can be embodied as the image acquisition range of the camera.

For example, under the conditions of low vehicle speed, low real-time requirement for vehicle identification and the like, an intelligent road side device can be arranged on the road side before the vehicle arrives at the station, and the vehicle identification can be carried out according to the relevant data of the vehicle sensed by the intelligent road side device.

For another example, in a scenario where the vehicle speed is high and the real-time requirement for vehicle identification is high, at least two intelligent roadside devices may be arranged along the roadside along the road extension direction (the direction of vehicle arrival) with the station as the starting point, that is, vehicle identification is started at a place far from the station, so that sufficient processing time is reserved for the processing procedure. Especially when the station is provided with a gate for controlling the vehicle to pass through, enough time can be reserved for the passing through process, wherein the passing through process at least comprises the following steps: the first client identifies the identification information of the vehicle and submits the identification information to the first server, the first server determines whether the vehicle is released and generates passing result information to be sent to the first client, and the first client and the gate are communicated to control the on-off state of the gate.

The following explains the implementation process of the embodiment of the present application by taking the arrangement of 2 pieces of intelligent road side equipment as an example.

Referring to fig. 3, an intelligent roadside apparatus 1 and an intelligent roadside apparatus 2 are arranged on the roadside before the vehicle reaches the station 1. The sensing range of the intelligent road-side device 1 may cover the road segment 1 (which may be embodied as a road between the node 11 and the node 12), the sensing range of the intelligent road-side device 2 may cover the road segment 2 (which may be embodied as a road between the node 21 and the node 22), and the first client may obtain the identification information of the vehicle according to the relevant data of the vehicle sensed by the first client and the second client.

For a scenario in which at least two intelligent roadside devices are deployed, there may be multiple local deployment manners for the first client, which are described below as examples.

In one mode, the corresponding first clients may be deployed on the intelligent road side devices, respectively. For example, the first client 1 is deployed on the intelligent roadside device 1, and may obtain the relevant data of the vehicle driving on the road segment 1, which is sensed by the intelligent roadside device 1; and the first client 2 is deployed on the intelligent road side device 2, and can obtain the relevant data of the vehicle driving on the road section 2 sensed by the intelligent road side device 2. That is, the first client may obtain the identification information of the vehicle according to the relevant data sensed by the associated intelligent roadside devices.

Preferably, the first client may further obtain identification information of the vehicle according to the related data sensed by the two adjacent intelligent road side devices. As shown in fig. 3, the first client 2 may perform joint processing (which may include joint vehicle identification and joint vehicle detection) according to the relevant data sensed by the intelligent roadside devices 1 and 2, and the specific implementation process may be described below, which is not detailed here.

In this implementation, the association relationship between the first client and the intelligent roadside device may be as shown in table 3 below.

TABLE 3

Identification information of a first client	Identification information of intelligent road side equipment
		First client 1	Intelligent road side equipment 1
First client 2	Intelligent roadside equipment 2

In another mode, a target intelligent road side device may be determined from at least two intelligent road side devices, and a first client may be deployed on the target intelligent road side device, and the target intelligent road side device and other intelligent road side devices adjacent to the target intelligent road side device may be associated with the first client together. For example, the intelligent roadside devices 3 and 4 are arranged on the road side before the vehicle arrives at the station 2, and if the first client 3 is arranged on the intelligent roadside device 4 (i.e., the target intelligent roadside device) and the intelligent roadside devices 3 and 4 are both associated with the first client 3, the first client 3 can perform passage processing according to the relevant data of the vehicle sensed by the intelligent roadside device 3 and can also perform passage processing according to the relevant data of the vehicle sensed by the intelligent roadside device 4.

In this implementation, the association relationship between the first client and the intelligent roadside device may be as shown in table 4 below.

TABLE 4

S102, according to the related data, identification information of the vehicle and information of a first station associated with the position of the vehicle are obtained and sent to a first service end.

As an example, the first client may perform vehicle identification in real time according to the relevant data; or after the information for identifying the vehicle is obtained, the vehicle identification can be triggered to start to identify the vehicle.

Specifically, a first boundary may be set on a road segment covered by the sensing range of the intelligent road side device, and when it is determined that a vehicle passes through the first boundary, information for identifying the identity of the vehicle is obtained. For example, a detection device (e.g., an induction coil, a pressure gauge, a laser radar, etc.) may be disposed at the first boundary, and when a vehicle passes through the first boundary, the detection device may obtain a signal that the vehicle passes through, and generate information for identifying the vehicle according to the signal, and submit the information to the first client. For another example, the first client may analyze the relevant data of the vehicle sensed by the intelligent roadside device, extract the position information of the vehicle from the relevant data, compare the position information with the position information of the first boundary obtained in advance, and obtain information for identifying the identity of the vehicle when the vehicle is determined to pass through the first boundary.

As an example, the vehicle may be identified when it is determined that the vehicle enters the perception range of the intelligent roadside apparatus, that is, the first boundary may be a boundary that the vehicle passes when entering the perception range. As illustrated in fig. 3, for the first client 1, the first boundary may be at the node 11, and when it is determined that the vehicle passes through the node 11, the first client 1 may obtain information for identifying the vehicle; for the first client 2, the first boundary may be at the node 21, and the first client 2 may obtain information for identifying the vehicle when determining that the vehicle passes through the node 21.

In addition, when considering that the vehicle just enters the sensing range of the intelligent roadside device, the distance from the camera is usually far, if the vehicle identification is carried out according to the relevant data collected by the camera, on one hand, the size information of the target vehicle in the image frame is small, on the other hand, the definition of the relevant information of the vehicle far away collected by the camera is poor, and the size information and the definition of the relevant information of the vehicle far away can both influence the accuracy of the vehicle identification, so that the first client carries out identification for the same target vehicle repeatedly, and the calculation amount is increased.

Therefore, as another example, in order to reduce the calculation amount of the vehicle identification process, an identification region may be set within the sensing range of the intelligent roadside device, and the vehicle may be identified when it is determined that the vehicle enters the identification region, that is, the second boundary may be a boundary through which the vehicle passes when entering the identification region. As illustrated in fig. 3, for the first client 1, the road between the

nodes

13 and 14 may be determined as the identification area of the intelligent roadside device 1, the first boundary may be at the node 13, and when it is determined that the vehicle passes through the node 13, the first client 1 may obtain information for identifying the vehicle. For the first client 2, the road from the node 23 to the node 24 may be determined as the identification area of the intelligent roadside device 2, the first boundary may be at the node 23, and the first client 2 may obtain information for identifying the vehicle when determining that the vehicle passes through the node 23.

For the identification area, in the extending direction of the road, the following may be included: an entrance boundary (i.e., the above-described first boundary of the identification area) through which the vehicle passes when entering the identification area, and an exit boundary (i.e., the below-described second boundary of the identification area) through which the vehicle passes when exiting the identification area.

Considering that the roadside sensor may include different cameras, the implementation of the corresponding identified region may also be different, as will be exemplified below.

In one mode, if the roadside sensor includes a first camera for capturing data related to the incoming direction of the vehicle, the departure boundary may be determined based on first position information laid by the first camera, for example, the first position may be determined as the departure boundary; and determining an entrance boundary in the vehicle coming direction according to the first position information and the first preset distance information, for example, determining a position which is a first preset distance away from the first position in the vehicle coming direction as the entrance boundary. And the road section between the driving-in boundary and the driving-out boundary is the identification area corresponding to the first camera.

Alternatively, if the roadside sensor includes a second camera for capturing data related to the vehicle driving-away direction, the driving-in boundary may be determined according to second position information laid by the second camera, for example, the second position is determined as the driving-in boundary; and determining a departure boundary in the vehicle departure direction based on the second position information and the second preset distance information, for example, determining a position that is a second preset distance away from the second position in the vehicle departure direction as the departure boundary. And the road section between the driving-in boundary and the driving-out boundary is the identification area corresponding to the second camera.

In another mode, if the roadside sensor includes a first camera and a second camera, the driving-in boundary may be determined in the driving-in direction of the vehicle according to first position information and first preset distance information laid by the first camera, and the driving-out boundary may be determined in the driving-out direction of the vehicle according to second position information and second preset distance information laid by the second camera. For example, a position that is a first preset distance from a first position in the vehicle coming direction is determined as an entrance boundary, and a position that is a second preset distance from a second position in the vehicle coming direction is determined as a departure boundary. In general, the first camera and the second camera may be arranged on the same physical device (for example, two cameras are arranged on the target road side through the same gantry), that is, the first position information and the second position information are the same. In this example, a road segment between the driving-in boundary and the driving-out boundary is an identification area corresponding to the two cameras. For the road section between the driving boundary and the first position, the identification is carried out mainly by the related data collected by the first camera, and for the road section between the second position and the driving boundary, the identification is carried out mainly by the related data collected by the second camera.

In the embodiment of the present application, the preset distance information may be related to parameter information of the camera, for example, the resolution of the camera is higher, or the lens of the camera is a long-focus lens, that is, even if the vehicle runs on a road section far away from the camera, the camera can still clearly shoot related information of the vehicle, so that the preset distance information can be set slightly larger. For example, the camera can clearly capture the license plate information by determining the position at 25m from the camera in combination with the relevant parameter information of the camera arranged on the road section a, so that the camera can determine the 25m as the preset distance. If the first camera and the second camera are arranged on the road section A and the parameter information of the first camera and the second camera are completely the same, the range of the identification area determined by the driving-in boundary and the driving-out boundary is 50 m.

In addition, the preset distance information may also be related to speed information that allows the passage of the road section where the camera is arranged, for example, the speed that allows the passage is faster, and the preset distance information may be set slightly larger so as to reserve sufficient processing time for the vehicle identification process.

It can be understood that, when the first client obtains the information for identifying the vehicle, the first client may further analyze the relevant data of the vehicle sensed by the intelligent roadside device, associate the vehicle triggering the first client to identify with the vehicle passing through the first boundary at that time, and determine the vehicle as a target vehicle, so as to perform subsequent processing with the target vehicle as a processing object. That is to say, each vehicle perceived by the intelligent roadside device can be used as a target vehicle, the first client determines the identification information of the vehicle and the information of the first station associated with the position of the vehicle, and submits the information to the first server to obtain the resource occupation information of the vehicle.

In the embodiment of the application, the identification information of the vehicle can be embodied as the license plate information of the vehicle. The first client can identify the license plate information of the vehicle from the related data of the vehicle through an image identification technology. As an example, the first client may determine at least one first image frame from the video data, perform license plate recognition on each first image frame respectively, and obtain a license plate recognition result corresponding to each first image frame, where the license plate recognition result may include license plate information and corresponding confidence information; and determining a target license plate recognition result from at least one license plate recognition result according to the confidence information, and obtaining license plate information of the vehicle according to the target license plate recognition result. The specific implementation process of the license plate recognition can refer to related technologies, and will not be described in detail here.

In the embodiment of the application, the first client can determine the target license plate recognition result through multiple implementation modes. For example, in one implementation, the first client may sort the confidence information in the at least one license plate recognition result, and determine the license plate recognition result with the highest confidence information as the target license plate recognition result. Or, in another implementation, the first client may obtain preset second confidence threshold information, and determine the license plate recognition result with the confidence information not lower than the second confidence threshold as the target license plate recognition result. Or, the first client may combine the two implementation manners to determine that the license plate recognition result with the highest confidence information is the target license plate recognition result when determining that the confidence information in each license plate recognition result is lower than the second confidence threshold.

It can be understood that if at least two target license plate recognition results are determined according to the implementation manner, license plate information included in each target license plate recognition result can be obtained, the number of times of occurrence of each license plate information is counted, and the license plate information with the largest number of times of occurrence is determined as the license plate information of the vehicle.

In the embodiment of the application, a second boundary can be further arranged on the road section covered by the perception range of the intelligent road side equipment, and the vehicle reaches the second boundary after passing through the first boundary. When the vehicle is determined to pass through the first boundary, the first client can be triggered to start a license plate recognition process; when it is determined that the vehicle passes through the second boundary, the first client may be triggered to stop the license plate recognition process.

As an example, the license plate recognition process may be stopped when it is determined that the vehicle leaves the perception range of the intelligent roadside apparatus, i.e., the second boundary may be a boundary through which the vehicle passes when driving out of the perception range. As illustrated in fig. 3, for the first client 1, the second boundary may be at the node 12, and when it is determined that the vehicle passes through the node 12, the first client 1 may stop the license plate recognition process; for the first client 2, the second boundary may be at the node 22, and the first client 2 may stop the license plate recognition process when it is determined that the vehicle passes through the node 22.

Or, as another example, if a recognition area is provided within the sensing range of the intelligent roadside device, the license plate recognition process may be stopped when it is determined that the vehicle leaves the recognition area, that is, the second boundary may be a boundary through which the vehicle passes when the vehicle leaves the recognition area. As illustrated in fig. 3, for the first client 1, the second boundary may be at the node 14, and when it is determined that the vehicle passes through the node 14, the first client 1 may stop the license plate recognition process. For the first client 2, the second boundary may be at the node 24, and the first client 2 may stop the license plate recognition process when it is determined that the vehicle passes through the node 24.

Preferably, in order to reduce the calculation amount of license plate recognition, the first client may obtain first confidence threshold information, and if the confidence information in the license plate recognition result corresponding to the first image frame meets the requirement of the first confidence threshold information before the vehicle reaches the second boundary, the license plate recognition process may be ended in advance. The following illustrates an implementation scheme for ending the license plate recognition process in advance.

As an example, the first confidence threshold may be embodied as a preset proportional value. In this example, the first client may obtain second confidence threshold information, and determine a second image frame from the first image frame according to the second confidence threshold information, where the confidence information in the license plate recognition result corresponding to the second image frame is not lower than the second confidence threshold (that is, the license plate recognition result corresponding to the second image frame is the target license plate recognition result); if the ratio of the number of the second image frames to the number of the first image frames is not smaller than the preset ratio value, it can be determined that the confidence information in the license plate recognition result corresponding to the first image frame meets the requirement of the first confidence threshold information, and the license plate recognition process can be ended.

As another example, the first confidence threshold may be embodied as a preset value. In this example, the first client may perform fusion processing on the confidence information in the license plate recognition result corresponding to the first image frame to obtain a fusion confidence (for example, the confidence in the license plate recognition result may be averaged, and the confidence mean value is used as the fusion confidence, which may not be specifically limited in the embodiment of the present application).

In addition, if the confidence information in the license plate recognition result corresponding to the first image frame does not meet the requirement of the first confidence threshold information and the vehicle is determined not to reach the second boundary, at least one third image frame can be determined from the video data; and acquiring a license plate recognition result corresponding to each third image frame, and determining whether to finish the license plate recognition process in advance according to the confidence information in the license plate recognition results corresponding to the first image frame and the third image frame and the first confidence threshold information. At this time, the first client may determine the target license plate recognition result from the license plate recognition results corresponding to the first image frame and the third image frame, whether the confidence information in the license plate recognition results corresponding to the first image frame and the third image frame meets the requirement of the first confidence threshold information, and the license plate recognition process is ended in advance, or the license plate recognition process is ended after the vehicle reaches the second boundary.

For example, the third image frame may be obtained frame by frame, and it is determined whether to end the license plate recognition process. Taking the number information of the first image frames as 5 as an example, if the average value of the confidence degrees corresponding to the 5 first image frames is smaller than the first confidence degree threshold, the 6 th image frame (i.e., the third image frame) can be obtained, license plate recognition is performed on the image frame, a corresponding license plate recognition result is obtained, and whether the average value of the confidence degrees corresponding to the 6 image frames is smaller than the first confidence degree threshold is judged. If the confidence coefficient is still smaller than the first confidence coefficient threshold, the 7 th image frame (namely, the third image frame) can be continuously obtained for license plate recognition, and the like until the mean value of the confidence coefficients corresponding to the image frames is not smaller than the first confidence coefficient threshold, or the vehicle reaches the second boundary, and the license plate recognition process can be ended.

As a preferable scheme, for a scene in which at least two intelligent roadside devices are deployed, the first client may perform vehicle identification according to relevant data sensed by the intelligent roadside devices corresponding to a road segment where the vehicle is currently located. For example, in the example illustrated in fig. 3, when the vehicle travels to the road segment 2, the first client 2 may perform vehicle identification according to the relevant data sensed by the intelligent roadside device 2. Or, in order to improve the accuracy of license plate recognition, the first client may perform joint vehicle recognition according to the intelligent road-side device corresponding to the current road segment where the vehicle is located and the related data sensed by the adjacent intelligent road-side device (that is, the last intelligent road-side device that the vehicle passes before reaching the current road segment). For example, in the example illustrated in fig. 3, when the vehicle travels to the road segment 2, the first client 2 may perform joint vehicle identification according to the relevant data sensed by the intelligent roadside devices 1 (i.e., adjacent intelligent roadside devices) and the intelligent roadside devices 2 (i.e., the intelligent roadside devices corresponding to the road segment where the vehicle is currently located).

Specifically, the first client may obtain information related to a fourth image frame sent by the adjacent intelligent roadside device, where the fourth image frame is an image frame used for performing license plate recognition on a vehicle in the related data sensed by the adjacent intelligent roadside device; after the license plate recognition result corresponding to the fourth image frame is obtained according to the information related to the fourth image frame, the target license plate recognition result can be determined from the license plate recognition result corresponding to the first image frame and the license plate recognition result corresponding to the fourth image frame. The implementation process of determining the target license plate recognition result can be described with reference to the above description, and is not described herein again.

As an example, the information related to the fourth image frame may be original image information related to the fourth image frame, for example, original image information corresponding to the fourth image frame, or original image information corresponding to a region of interest (i.e., a region where the vehicle is located) extracted from the fourth image frame. Correspondingly, the first client can perform license plate recognition on the original image to obtain a license plate recognition result corresponding to the fourth image frame. Or, as another example, the information related to the fourth image frame may be a license plate recognition result corresponding to the fourth image frame.

The following describes an example of the process of performing the joint vehicle identification in the identification area, with reference to the example illustrated in fig. 3.

Firstly, when it is determined that a vehicle enters a recognition area associated with the first client 1 through the node 13, the first client 1 can obtain video data sensed by the intelligent road side device 1, and license plate recognition is performed by using a fourth image frame extracted from the video data to obtain a license plate recognition result 1.

Secondly, when it is determined that the vehicle enters the identification area associated with the first client 2 through the node 23, the first client 2 can obtain video data sensed by the intelligent road side device 2, and license plate identification is performed by using a first image frame extracted from the video data to obtain a license plate identification result 2. Meanwhile, the first client 2 may also obtain the license plate recognition result 1 forwarded by the RSU2 in the intelligent roadside device 2, and the license plate recognition result 1 may be sent to the RSU2 by the RSU1 in the intelligent roadside device 1.

Finally, the first client 2 may determine a target license plate recognition result from the license plate recognition result 1 and the license plate recognition result 2, for example, determine the license plate recognition result with the highest confidence information as the target license plate recognition result, and further obtain the license plate information of the vehicle according to the target license plate recognition result.

In addition, the first client 2 may also compare the confidence information corresponding to the license plate recognition result 1 and the license plate recognition result 2 with the first confidence threshold to determine whether to end the license plate recognition process in advance, and the specific implementation process may refer to the description above, and will not be described in detail here.

In the embodiment of the application, in order to continuously track the vehicle and ensure that the driving track is uninterrupted, the first client can continuously identify the license plate of the vehicle in the whole sensing range, namely, the vehicle is tracked through the license plate information. Or, considering that the requirements of license plate recognition on image size, definition and the like are high and the calculated amount is relatively large, the first client can obtain the characteristic information capable of uniquely identifying the vehicle to a certain extent in a vehicle detection mode in a sensing range, that is, the continuous tracking of the vehicle is realized through the characteristic information of the vehicle and the license plate information (license plate recognition is performed in a recognition area).

As an example, the implementation process of vehicle detection may be embodied as: determining at least one fifth image frame from the video data, and respectively carrying out vehicle detection on each fifth image frame to obtain respective corresponding vehicle detection results, wherein the vehicle detection results comprise characteristic information and corresponding confidence information; and processing the characteristic information in the at least one vehicle detection result according to the confidence coefficient information to obtain the characteristic information of the vehicle.

In the embodiment of the present application, the first client may obtain the feature information of the vehicle through various implementation manners, which are described below by way of example.

In one mode, the first client may determine a target vehicle detection result from the at least one vehicle detection result according to the confidence information, and obtain the feature information of the vehicle according to the target vehicle detection result. For example, the first client may rank the confidence information in the at least one vehicle detection result, and determine the vehicle detection result with the highest confidence information as the target vehicle detection result. Or, the first client may obtain preset third confidence threshold information, and determine the vehicle detection result with the confidence information not lower than the third confidence threshold as the target vehicle detection result.

In another mode, the first client may perform fusion processing on the feature information in the at least one vehicle detection result according to the confidence information, and determine the fused feature information as the feature information of the vehicle. For example, the first client may perform weighted average on feature information in each vehicle detection result according to the confidence information to obtain the fused vehicle feature information. The embodiment of the application does not specifically limit the implementation manner of calculating the fused vehicle characteristic information.

As an example, the characteristic information of the vehicle in the embodiment of the present application may include vehicle model information (which may include a brand, a series, a year, a displacement, and the like of the vehicle), vehicle color information (for example, brown), personalized painting information (for example, a rear windshield is pasted with a special pattern of a film), modification information, damage information (for example, a collision dent on the right front), passenger and cargo information (for example, a full passenger), and the like, and the dimension of the vehicle characteristic information may not be particularly limited in the embodiment of the present application. The implementation process of extracting the vehicle feature information can be referred to in the related art, and is not described in detail here.

In addition, for a scene in which at least two pieces of intelligent roadside equipment are arranged, if an overlapping region (for example, a road from a node 21 to a node 12 in the example illustrated in fig. 3) exists between two adjacent pieces of intelligent roadside equipment, when it is determined that a vehicle runs into the overlapping region, the first client may obtain information related to a sixth image frame sent by the adjacent pieces of intelligent roadside equipment, obtain a vehicle detection result corresponding to the sixth image frame according to the information, and further process feature information in the fifth image frame and the vehicle detection result corresponding to the sixth image frame according to the confidence information to obtain feature information of the vehicle. Therefore, the scheme of carrying out combined vehicle detection on the basis of the related data sensed by the two adjacent intelligent road side devices is beneficial to improving the accuracy and reliability of vehicle detection. The sixth image frame may be an image frame used for vehicle detection on the vehicle in the related data sensed by the adjacent intelligent roadside device, and the information related to the sixth image frame may be original image information related to the sixth image frame, or may be a vehicle detection result corresponding to the sixth image frame.

In addition, in the case of a multi-vehicle concurrent scene (that is, a single frame image includes a plurality of vehicles), the first client may specify a vehicle to be processed from the plurality of vehicles by using identification information of the vehicle, speed information of the vehicle, position information of the vehicle, and the like, and perform joint vehicle detection and joint vehicle recognition on the vehicle.

S103, the first service end receives the identification information of the vehicle and the information of the first station, which are submitted by the first client end.

S104, if the information of the second station associated with the identification information of the vehicle is obtained, the resource calculation mode information of the road section association between the first station and the second station can be determined, and the resource occupation information of the vehicle is determined according to the resource calculation mode information.

The first service end can determine the following resource occupation information according to the station where the vehicle passes: the road resources that the vehicle starts to occupy and the corresponding resource occupation values may be described in embodiment 1 above, and details are not described here.

Preferably, the first server may further communicate with a second client deployed on the vehicle, and issue the resource occupation information to the second client, so that the second client pushes the relevant information. For example, when it is determined that the vehicle 1 passes through the station 1 (i.e., the vehicle 1 starts to occupy the road resources of the expressway 1), the "the vehicle 1 is traveling on the expressway 1" may be pushed by the second client disposed on the vehicle 1; when it is determined that the vehicle 1 passes through the station 2 (i.e., the vehicle 1 completes traveling the road section between the station 1 and the station 2), the "the vehicle 1 is about to pass through the station 2, and the estimated value of the resource occupancy of the road section from the station 1 to the station 2 is a" may be pushed by the second client disposed on the vehicle 1. If the resource calculation is performed on the expressway 1 in a segmented manner, and the first server determines that the passing processing is completed on the vehicle 1, the second client deployed on the vehicle 1 can push "the vehicle 1 passes through the station 2, and the actual resource occupation value of the road section from the station 1 to the station 2 is a".

In the actual application process, the second client can directly push information according to the information issued by the first service end; or, the second client may forward the information sent by the first server to other application programs installed on the vehicle, for example, forward the information to a vehicle navigation system, and the vehicle navigation system performs superposition processing on the navigation information and the resource occupation information, so that the navigation information can be played and the resource occupation information can be pushed at the same time.

And S105, when the type information of the first station is determined to be the station needing to be subjected to the passing processing, the first service end can be used for carrying out the passing processing on the vehicle according to the resource occupation information.

In the embodiment of the present application, the type information of the station may be embodied as a station that can pass through without performing the passing process (taking a toll gate as an example, the station of this type may be an entrance toll gate of a highway), and a station that can pass through without performing the passing process (taking a toll gate as an example, the station of this type may be an exit toll gate of a highway, a cross-provincial toll gate, etc.). For a station which can pass through only after the passing processing needs to be completed, the first server side can determine account information related to the vehicle after legal authorization of the user is obtained, further carry out fee deduction processing on the account according to the resource occupation value, and determine that the vehicle completes the passing processing after the information that the fee deduction is successful is obtained.

As an example, a site information base may be created in advance, and the type information of different sites may be saved by the site information base. Therefore, after the first server obtains the information of the first site, the type information of the first site can be determined from the site information base. The station information base may be created by the first service end, or may be created by another service end and then provided to the first service end, which is not specifically limited in this embodiment of the present application.

Alternatively, as described above, the association relationship between the first client and the site is relatively fixed, so the type information of the site associated with the first client can be locally stored at the first client, and the first client submits the type information of the first site to the first service end.

The following explains a process of the first server performing the traffic processing on the vehicle according to the type information of the station, with reference to a specific example.

Taking an example that the vehicle 1 is used at the station 1, after obtaining the identification information of the vehicle 1 and the identification information of the station 1, the first client 2 may submit the above information to the first server through the RSU2 in the intelligent roadside device 2. The first server determines that the type information of the station 1 is a station which does not need to be passed through by the station information base, so that the passing result information allowing the vehicle 1 to pass through the station 1 can be directly obtained.

As an example, after the first server performs the passing processing, it determines that the station 1 is a resource occupation starting point, and may create passing record information of the vehicle 1 and store an association relationship between the identification information of the vehicle 1 and the identification information of the station 1. The traffic record information may be as shown in table 5 below.

TABLE 5

Identification information of vehicle	Identification information of a station	Traffic result information
			Vehicle 1	Station 1	Allowing vehicle 1 to pass through station 1

If the vehicle 1 continues to travel through the station 1 to reach the station 2, the first client 3 may submit the identification information of the vehicle 1 and the identification information of the station 2 to the first service end after obtaining the identification information. The first server determines that the type information of the station 2 is a station needing to complete the passing processing through the station information base, can obtain account information related to the vehicle, carries out fee deduction processing on the account according to the resource occupation value, and generates passing result information according to the fee deduction processing result. Specifically, when the first server determines that the fee deduction is successful, the first server may generate passage result information allowing the vehicle 1 to pass through the station 2; when it is determined that the deduction is failed, the passage result information for prohibiting the vehicle 1 from passing through the station 2 may be generated.

Taking the case that the account associated with the vehicle 1 is successfully deducted by the first service end, after the passing process, the first service end may further perform an update process on the passing record information shown in table 5, so as to obtain the passing record information shown in table 6 below.

TABLE 6

Identification information of vehicle	Identification information of a station	Traffic result information
			Vehicle 1	Station 1	Allowing vehicle 1 to pass through station 1
Vehicle 1	Station 2	Allowing vehicle 1 to pass through station 2

Preferably, after the vehicle is passed according to the resource occupation information, the passing result information can be sent to the third server. For example, the third server may be a third-party system such as a city brain, and the third-party system may implement security and intelligent processing of traffic management by using the processing result of the embodiment of the present application.

S106, if the gate for controlling the vehicle to pass is arranged at the first station, the first server side can issue the passing result information to the first client side, so that the first client side can control the on-off state of the gate according to the passing result information.

The first client can continuously track the vehicle, and control the on-off state of the gate according to the passing result information issued by the first server when the vehicle passes at the first station. The first client side can obtain the position information of the vehicle according to the relevant data sensed by the intelligent road side equipment, and therefore whether the vehicle is about to pass through the first station or not is determined.

Specifically, if the passing result information indicates that the vehicle is allowed to pass through the first station, the first client can communicate with the gate to control the gate to be in an open state and release the vehicle; if the passing result information indicates that the vehicle is prohibited from passing through the first station, the first client can communicate with the gate to control the gate to be in a closed state, and the vehicle is prohibited from passing.

In addition, considering that the opening and closing of the gate belongs to physical mechanical control, the response speed is relatively slow, and in order to quickly feed back the passing result of the vehicle at the first station to the driver, a switch state indicator lamp can be arranged on the gate, the response time from the control to the display of the indicator lamp is relatively short, so that the switch state of the gate can be informed to the driver through the indicator lamp, and the driver can be prepared in advance. For example, when the gate is opened to allow the vehicle to pass, the green light can be flickered, and the driver can realize the non-inductive passing without decelerating; when the gate is closed and the vehicle is forbidden to pass, the red light can be flickered, and the driver can slow down and walk in advance.

In addition, the embodiment of the present application also provides a preferred scheme of the following traffic processing, which is explained below.

Preferably, the first client may obtain a vehicle blacklist, in which identification information of vehicles prohibited from passing is stored. In this way, after obtaining the identification information of the vehicle according to the relevant data, the first client may first determine whether the vehicle is a no-entry vehicle in the blacklist, and if it is determined that the vehicle is a no-entry vehicle, the first client may submit the identification information of the vehicle and the information of the first station to the first server for subsequent processing according to the implementation manner described above. If the vehicle is determined to be a no-pass vehicle, the first client can directly obtain the pass result information of the no-pass vehicle passing through the first station, and controls the gate to be closed. Preferably, the first client may also submit the traffic result information to the first service end, so that the first service end updates the traffic record information associated with the vehicle.

Preferably, the system of the embodiment of the present application may further include a second server. The second server side can obtain a vehicle information base, legal vehicle characteristic information related to license plate information is stored in the vehicle information base, and identity verification is carried out on the vehicle based on the legal vehicle characteristic information, so that whether the vehicle is an abnormal vehicle or not is determined. Specifically, if the first client determines that the vehicle has abnormal traffic behavior at the first station, the data related to the vehicle can be submitted to the second server. As one example, the data relating to the vehicle may be raw image data associated with the vehicle extracted from the related data perceived by the intelligent roadside device. Correspondingly, the second server side can extract the license plate information of the vehicle and the characteristic information of the vehicle to be verified from the data related to the vehicle, further obtain the legal vehicle characteristic information related to the license plate information of the vehicle from the vehicle information base, and compare the legal vehicle characteristic information with the characteristic information of the vehicle to be verified. And if the characteristic information of the vehicle to be verified and the characteristic information of the legal vehicle do not accord with each other, determining that the vehicle is an abnormal vehicle. For example, a vehicle with abnormal traffic behavior is a fake-licensed vehicle.

The abnormal traffic behavior can be the vehicle existing pole-breaking behavior. For example, the gate is in a closed state, and the target vehicle as the processing object forcibly passes through the gate; alternatively, when the gate is not yet restored to the off state when the vehicle ahead of the target vehicle is released, the target vehicle quickly passes through the gate, and so on. Aiming at the bar-rushing behavior, the gate can obtain a bar-rushing behavior signal and submit the bar-rushing behavior signal to the first client, and the first client is triggered to submit data related to the target vehicle to the second server for identity verification.

Alternatively, the abnormal traffic behavior may be that the vehicle has a following behavior. For example, the first client performs image analysis on related data sensed by the intelligent road side equipment, determines that a certain vehicle can only extract license plate information at the head of the vehicle and cannot extract license plate information at the tail of the vehicle; or the license plate information at the head of a certain vehicle is inconsistent with the license plate information at the tail of the vehicle. At this time, the vehicle following behavior is likely to exist, and the first client can submit the data related to the vehicle to the second server for identity verification.

In this preferred embodiment, when the second server determines that the vehicle with the abnormal passage behavior is an abnormal vehicle, the second server may further update the vehicle blacklist, and determine that the vehicle is a vehicle prohibited from passing through, so that when the vehicle passes through the station (which may be the first station or another station) next time, the first client associated with the station may directly prohibit the vehicle from passing through.

In the embodiment of the application, the second server can be deployed at the cloud and is in communication with all the first clients. Therefore, when the vehicle with the abnormal traffic behavior is determined to be an abnormal vehicle, the second server side can update the vehicle blacklist stored in each first client side according to the identification information of the vehicle.

Alternatively, the second server may be locally deployed, for example, the second server is deployed on the intelligent road side device and is associated with the first client deployed on the intelligent road side device. Therefore, when the vehicle with the abnormal traffic behavior is determined to be an abnormal vehicle, the second server can communicate with the associated first client, and update the vehicle blacklist stored by the associated first client according to the identification information of the vehicle. In addition, in order to intercept abnormal vehicles in time, the second service end can also communicate with the first service end, the identification information of the vehicles is submitted to the first service end, so that the first service end can communicate with all the first client sides, and the vehicle blacklist stored by each first client side is updated according to the identification information of the vehicles. Or the first server may store a vehicle blacklist, and perform traffic processing on the vehicle according to the type information of the station and the vehicle blacklist. That is, if the type information of the station is that no fee deduction process is required, the vehicle to be passed does not belong to the vehicle prohibited from passing in the vehicle blacklist, and the passing result information permitted to pass can be obtained. If the type information of the station is that the vehicle can pass only after the fee deduction process is completed, the vehicle to be passed needs to complete the fee deduction process and does not belong to the vehicle which is not allowed to pass in the vehicle blacklist, and the passing result information which is allowed to pass can be obtained.

Example 3

The solutions introduced in the above embodiments 1 and 2, which determine the resource occupation information based on the site information, generally need to update the site information in time according to the site layout situation. For example, after a new site is set at the location a, the relevant information of the new site needs to be updated in time, so that the first client deployed at the location a can obtain the information of the new site and submit the information to the first service end for processing. Or after canceling the site deployed at the location B, the relevant information of the canceled site also needs to be updated in time, so as to prevent the first client deployed at the location B from continuously obtaining the information of the canceled site and submitting the information to the first service end for processing.

In view of the above, an embodiment of the present application provides a scheme for determining a road occupied by a vehicle according to position information of the vehicle, and determining resource occupation information of the vehicle according to resource calculation manner information corresponding to the occupied road. The following explains the implementation process of determining the resource occupation information according to the location information with reference to the flowchart shown in fig. 4.

S201: the first client obtains relevant data of vehicles driving on the road sensed by the intelligent road side equipment.

The implementation process of S201 can be described in S101 above, and is not described herein again.

S202: and obtaining the identification information and the first position information of the vehicle according to the related data, and sending the identification information and the first position information to the first service end.

The implementation process of obtaining the identification information of the vehicle according to the related data may refer to the description at S102, and is not described herein again.

For the first position information of the vehicle, the first position information can be determined from the related data by means of image processing, and the specific implementation process can be referred to the related art and is not described in detail herein.

S203: and if the first service end obtains the second position information associated with the identification information of the vehicle, determining resource calculation mode information associated with the road section between the first position and the second position, and determining the resource occupation information of the vehicle according to the resource calculation mode information.

For the first service end, after receiving the identification information and the first location information of the vehicle submitted by the first client end, it may be determined whether the second location information associated with the identification information of the vehicle can be obtained. If the second position information is obtained, the first position can be determined to be the resource occupation end point, the resource calculation mode information related to the road section between the first position and the second position can be obtained, and the resource occupation information of the vehicle is determined according to the resource calculation mode information.

If the second position information is not obtained, the first position can be determined to be the resource occupation starting point, the first server side can store the identification information of the vehicle and the association relation between the first position information, so that when the third position information of the vehicle is obtained (the third position can be used as the resource occupation end point), the resource calculation mode information of the road section association between the first position and the third position is determined, and the resource occupation information of the vehicle on the road section is further obtained.

As an example, the location information of the vehicle may be embodied as longitude and latitude information of a location where the vehicle is located. In consideration of the fact that roads with upper and lower layers such as viaducts and overpasses may be arranged on a traffic jam road section in road construction planning, in order to distinguish the characteristics of different roads corresponding to the same longitude and latitude information, resource calculation mode information of the road where a vehicle is located is obtained, the first client can also obtain the information of the road and submit the information to the first service end, and therefore the first service end can determine resource occupation information of the vehicle according to the first position information and the information of the road. Because intelligence road side equipment is laid at which road side, it is relatively fixed after the system has been built, so can obtain the information of the current road of vehicle through the incidence relation between intelligence road side equipment and the road, promptly, first customer end can submit the information of the road that intelligence road side equipment is correlated to first service end.

The information of the link may be type information of the link. Correspondingly, the first server can obtain resource calculation mode information corresponding to different types of roads, and accordingly the resource occupation information of the vehicle is determined. Alternatively, the information of the link may be identification information of the link. Correspondingly, the first server side can obtain resource calculation mode information corresponding to roads with different identification information, and accordingly the resource occupation information of the vehicle is determined. For the expression of the resource calculation mode information, the implementation manner of determining the resource occupation value, and the like, reference may be made to the description of embodiment 1 above, and the description is not further illustrated here.

It should be noted that, the above scheme for determining the resource occupation information of the vehicle based on the identification information of the vehicle and the first position information may also be applied in other scenarios. For example, the present invention can be applied to a parking space management scene, a charge management scene, and the like of a parking lot. The following explains an implementation manner of determining resource occupation information in this scenario.

Example 4

In this embodiment, the intelligent roadside device may be arranged in a driving area of the parking lot, and sense the relevant data of the vehicle in the driving area. As an example, the driving area may be an entrance of a parking lot and an exit of the parking lot. The layout position of the intelligent road side equipment is not particularly limited, and the intelligent road side equipment can be used as long as relevant data of vehicles driving into a parking lot and relevant data of vehicles driving away from the parking lot can be collected.

In this embodiment, the first client deployed on the intelligent roadside device may obtain relevant data of the vehicle in the driving area, which is sensed by the intelligent roadside device, obtain identification information and first position information of the vehicle according to the relevant data, and send the identification information and the first position information to the first service end. The first server can be deployed on the cloud server, and after the identification information and the first position information of the vehicle submitted by the first client are obtained, the resource occupation information of the vehicle with the identification information is determined.

In this embodiment, the resource occupation information of the vehicle can be embodied as whether the vehicle occupies the parking space resource. For example, when it is determined that the vehicle 2 enters the parking lot according to the first location information, the resource occupation information determined by the first service end may be: the vehicle 2 starts to occupy the parking space resources of the parking lot. When it is determined that the vehicle 3 is driven out of the parking lot according to the first location information, the resource occupation information determined by the first service end may be: the vehicle 3 finishes occupying the parking space resources of the parking lot.

In addition, considering that the first client is deployed on which intelligent road side equipment and which parking lot the intelligent road side equipment is deployed in, the association relations are relatively fixed after the system is built, so that a parking lot information base can be created in advance, and identification information of the parking lots respectively associated with different first clients is stored through the parking lot information base. Therefore, after the first service end receives the information submitted by the first client, the first service end can determine that the vehicle starts to occupy the parking space resources, and can also obtain the identification information of the parking lot associated with the first client, so as to determine which parking space resource the vehicle occupies. For example, the first client B is associated with the parking lot 1, and after the first server obtains the information of the vehicle 2 submitted by the first client B, the determined resource occupation information may be: the vehicle 2 starts to occupy the parking space resources of the parking lot 1. The parking lot information base may be created by the first service end, or may be provided to the first service end after being created by other service ends, which is not specifically limited in the embodiment of the present application.

Or the association relationship between the first client and the parking lot may be stored locally at the first client, and the first client submits the identification information of the parking lot associated with the first client to the first service end, so that the first service end determines which parking space resource of the parking lot the vehicle is occupying based on the identification information.

Preferably, the resource occupancy information of the vehicle may also be embodied as a resource occupancy value, i.e. may also be used to implement charging management of the parking lot. The following describes an implementation process for determining the resource occupancy value of the vehicle, with reference to the flowchart shown in fig. 5.

S301: the first client side obtains relevant data of vehicles in a driving area sensed by the intelligent road side equipment.

S302: and obtaining the identification information and the first position information of the vehicle according to the related data, and submitting the identification information and the first position information to a first service end.

The implementation processes of S301 to S302 can be described in the above S201 to S202, and are not described herein again.

S303: and if the first service end obtains the second position information associated with the identification information of the vehicle, determining resource calculation mode information associated with the driving area, and determining resource occupation information of the vehicle according to the resource calculation mode information.

In this embodiment, after receiving the identification information of the vehicle and the first location information submitted by the first client, the first service end may first determine whether the second location information associated with the identification information of the vehicle can be obtained. If the second position information is obtained, the first position can be determined to be a resource occupation end point (for example, the first position is an exit of a parking lot), the resource calculation mode information related to the driving area can be obtained, and the resource occupation value of the vehicle is determined according to the resource calculation mode information.

If the second position information is not obtained, the first position can be determined to be a resource occupation starting point (for example, the first position is an entrance of a parking lot), and the first server can store the association relationship between the identification information of the vehicle and the first position information, so that when the third position information of the vehicle is obtained (for example, the third position can be an exit of the parking lot and is used as a resource occupation end point), the resource calculation mode information associated with the driving area is determined, and further the resource occupation value of the vehicle is obtained.

As an example, the location information of the vehicle may be embodied as longitude and latitude information of a location where the vehicle is located. In consideration of the fact that in parking lot construction planning, underground parking lots may be arranged on road sections with scarce road resources, and parking lots layered up and down such as on the ground and underground may be arranged on road sections requiring large parking, in order to distinguish characteristics of different parking lots corresponding to the same longitude and latitude information, resource calculation mode information of the parking lot occupied by a vehicle is obtained, the first client side can also obtain information of the parking lot and submit the information to the first service side, so that the first service side can determine a resource occupation value of the vehicle according to the first position information and the information of the parking lot. Because the intelligent road side equipment is arranged in which parking lot and is relatively fixed after the system is built, the information of the parking lot occupied by the vehicle can be obtained through the incidence relation between the intelligent road side equipment and the parking lot, namely, the first client side can submit the information of the parking lot associated with the intelligent road side equipment to the first service side.

The information of the parking lot may be type information of the parking lot. For example, the above-ground parking lot, the underground parking lot, and the like, correspondingly, the first server may obtain resource calculation mode information corresponding to different types of parking lots, and determine the resource occupation value of the vehicle according to the resource calculation mode information. Alternatively, the information of the parking lot may be identification information of the parking lot. Correspondingly, the first server side can obtain resource calculation mode information corresponding to the parking lot with different identification information, and accordingly the resource occupation value of the vehicle is determined. For the expression of the resource calculation mode information, the implementation manner of determining the resource occupation value, and the like, reference may be made to the description of embodiment 1 above, and the description is not further illustrated here.

Preferably, in order to accurately obtain the resource occupation value of the vehicle, the resource occupation time information of the vehicle can be obtained, and the resource occupation value of the vehicle is determined according to the resource calculation mode information and the time information. As an example, the resource occupation time information of the vehicle may be obtained by starting the time counting when it is determined that the vehicle enters the parking lot and stopping the time counting when it is determined that the vehicle leaves the parking lot.

It should be noted that, in the above solutions under the parking space management and charging management scenarios, the driving speed of the vehicle is generally slow, and the requirement on the real-time performance in the overall processing process is not high, so as to be an implementation manner, after the first client obtains the relevant data of the vehicle in the driving area sensed by the intelligent roadside device, the relevant data may be sent to the first service end, and the first service end obtains the identification information and the first position information of the vehicle according to the relevant data, so as to determine the resource occupation information of the vehicle.

For the parts of embodiment 4 not described in detail, reference may be made to the descriptions in the foregoing embodiments, which are not described herein again.

Example 5

The embodiment of the application can determine the resource occupation information and can also push the resource occupation information to the vehicle. For example, as described above, after obtaining the resource occupation information of the vehicle, the first service end issues the resource occupation information to the second client associated with the vehicle to perform information push.

Or the second client may receive the first location information of the vehicle sent by the first client, determine the resource occupation information of the vehicle according to the first location information, and perform information push. The first client side can communicate with the OBU loaded by the vehicle through the RSU in the intelligent road side equipment, and sends first position information of the vehicle to the second client side.

The information pushing process of the second client is explained with reference to the flowchart shown in fig. 6.

S401: the first client obtains relevant data of vehicles driving on the road sensed by the intelligent road side equipment.

S402: and obtaining the identification information and the first position information of the vehicle according to the related data, and sending the identification information and the first position information to a second client associated with the vehicle.

As an example, the RSU in the intelligent roadside device may issue information to a vehicle within the sensing range in a broadcast manner, and after receiving the broadcast information through the OBU mounted on the vehicle, the second client may determine whether the message is directed to the second client according to the identification information of the vehicle.

The implementation processes of S401 to S402 can be described in the above S201 to S202, and are not described herein again.

S403: and if the second client obtains second position information associated with the identification information of the vehicle, determining resource calculation mode information associated with a road section between the first position and the second position, determining resource occupation information of the vehicle according to the resource calculation mode information, and pushing the information.

The expression form of the resource calculation method information, the implementation manner for determining the resource occupation value, and the like may be referred to as described in embodiment 1 above, and are not described herein again.

It can be understood that, if the first service end performs resource calculation in a segmented manner, after the second client obtains the second location information, the second client may submit the identification information of the vehicle and the resource occupation value to the first service end, so that the first service end determines an account associated with the identification information of the vehicle after obtaining the legal authorization of the user, and performs fee deduction on the account according to the resource occupation value. Preferably, after the first server finishes the fee deduction processing, the fee deduction result information can be sent to the second client, and the second client pushes information to the user.

If the first server side carries out resource calculation according to a whole-course mode, the second client side can obtain at least one exit position information related to the road, and if the fact that the vehicle does not drive away from the current road is determined according to the first position information and the exit position information, the resource occupation value can be pushed to serve as the estimated resource occupation information of the vehicle driving from the second position to the first position. If the vehicle is determined to be driven away from the current road according to the first position information and the exit position information, namely the vehicle finishes the resource occupation of the current road, the identification information and the resource occupation value of the vehicle can be submitted to the first server side for fee deduction processing, and information pushing is carried out according to fee deduction result information issued by the first server side.

Preferably, the second client may obtain type information of resource items associated with different road segments of the road, and further, after obtaining the first location information and the second location information, may determine type information of a target resource item associated with a road segment therebetween, and perform pushing of the resource type information. In addition, if at least two target resource items are associated with the road section between the second position and the first position, the resource occupation numerical values associated with the target resource items can be respectively obtained to carry out information push, so that a user can know more resource occupation details.

Taking the Yangtze river tunnel bridge as an example, the resource projects may include two resource projects, namely, a Yangtze river tunnel and a Yangtze river bridge, and the second client may push "the resource occupancy value of the vehicle on the Yangtze river tunnel bridge section is A1, where the resource occupancy value of the Yangtze river tunnel is A11, and the resource occupancy value of the Yangtze river bridge is A12" for the vehicle driving on the section.

Preferably, the second client may locally store the information related to the resource occupation value according to user settings, and push the information when the user needs the information. That is to say, the second client may push information in real time after obtaining the resource occupancy value, or may push the relevant information to the user for viewing when the user needs to trace the source.

Example 6

Embodiment 6 is a method corresponding to embodiment 1, and from the perspective of the first client, there is provided a method for obtaining vehicle resource occupancy information, and referring to fig. 7, the method may specifically include:

s501: the method comprises the steps that a first client side obtains relevant data of a vehicle driving on a road, sensed by intelligent road side equipment;

s502: obtaining identification information of the vehicle according to the related data;

s503: and sending the identification information of the vehicle to a first service end so that the first service end can determine the resource occupation information of the vehicle.

Example 7

Embodiment 6 is a method corresponding to embodiment 1, and from the perspective of the first service end, a method for obtaining vehicle resource occupation information is provided, and referring to fig. 8, the method may specifically include:

s601: the method comprises the steps that a first service end receives identification information of a vehicle submitted by a first client, wherein the identification information of the vehicle is obtained by the first client from relevant data of the vehicle running on a road, and the relevant data are sensed by intelligent road side equipment;

s602: and determining the resource occupation information of the vehicle with the identification information.

Example 8

Embodiment 8 provides a method for determining an abnormal vehicle from the perspective of the second service end, and referring to fig. 9, the method may specifically include:

s701: the second server side obtains a vehicle information base, and legal vehicle characteristic information related to license plate information is stored in the vehicle information base;

s702: receiving data related to a vehicle submitted by a first client, and extracting license plate information and characteristic information of the vehicle to be verified from the data, wherein the data related to the vehicle is extracted from related data sensed by intelligent road side equipment by the first client when the vehicle has abnormal traffic behaviors at a station;

s703: obtaining legal vehicle characteristic information associated with the license plate information from the vehicle information base;

s704: and if the characteristic information of the vehicle to be verified does not accord with the characteristic information of the legal vehicle, determining that the vehicle is an abnormal vehicle.

Example 9

Embodiment 9 is a method corresponding to embodiment 3, and from the perspective of the first client, there is provided a method for obtaining vehicle resource occupancy information, and referring to fig. 10, the method may specifically include:

s801: the method comprises the steps that a first client side obtains relevant data of a vehicle driving on a road, sensed by intelligent road side equipment;

s802: obtaining identification information and first position information of the vehicle according to the related data;

s803: and sending the identification information and the first position information of the vehicle to the first service end so that the first service end can determine the resource occupation information of the vehicle according to the first position information.

Example 10

Embodiment 10 is a method corresponding to embodiment 3, and from the perspective of the first service end, there is provided a method for obtaining vehicle resource occupation information, and referring to fig. 11, the method may specifically include:

s901: the method comprises the steps that a first service end receives identification information and first position information of a vehicle submitted by a first client end, wherein the identification information and the first position information of the vehicle are obtained by the first client end from relevant data of the vehicle running on a road sensed by intelligent road side equipment;

s902: if second position information associated with the identification information of the vehicle is obtained, determining resource calculation mode information associated with a road section between the first position and the second position;

s903: and determining the resource occupation information of the vehicle according to the resource calculation mode information.

Example 11

Embodiment 11 is a method corresponding to embodiment 4, and from the perspective of the first client, there is provided a method for obtaining vehicle resource occupancy information, and referring to fig. 12, the method may specifically include:

s1001: the method comprises the steps that a first client side obtains relevant data of vehicles in a driving area sensed by intelligent road side equipment;

s1002: obtaining identification information and first position information of the vehicle according to the related data;

s1003: and sending the identification information and the first position information of the vehicle to a first service end so that the first service end can determine the resource occupation information of the vehicle.

Example 12

Embodiment 12 is a method corresponding to embodiment 4, and from the perspective of the first service end, there is provided a method for obtaining vehicle resource occupation information, referring to fig. 13, where the method specifically includes:

s1101: the method comprises the steps that a first service end receives identification information and first position information of a vehicle submitted by a first client end, wherein the identification information and the first position information of the vehicle are obtained by the first client end from relevant data of the vehicle in a driving area sensed by intelligent road side equipment;

s1102: if second position information associated with the identification information of the vehicle is obtained, determining resource calculation mode information associated with the driving area;

s1103: and determining the resource occupation information of the vehicle according to the resource calculation mode information.

Example 13

Embodiment 13 is a method corresponding to embodiment 5, and from the perspective of the second client, an information pushing method is provided, and with reference to fig. 14, the method may specifically include:

s1201: the method comprises the steps that a first client side obtains relevant data of a vehicle driving on a road, sensed by intelligent road side equipment;

s1202: obtaining identification information and first position information of the vehicle according to the related data;

s1203: and sending the first position information to a second client associated with the identification information of the vehicle, so that the second client can determine the resource occupation information of the vehicle and push the information.

Example 14

Embodiment 14 is a method corresponding to embodiment 5, and from the perspective of the second client, an information pushing method is provided, and referring to fig. 15, the method may specifically include:

s1301: the method comprises the steps that a second client receives first position information of a vehicle related to the second client, wherein the first position information is sent by a first client, and the first position information is obtained by the first client from related data of the vehicle running on a road, and is sensed by intelligent road side equipment;

s1302: if second position information associated with the vehicle is obtained, determining resource calculation mode information of road section association between the first position and the second position;

s1303: and determining the resource occupation information of the vehicle according to the resource calculation mode information, and pushing the information of the vehicle.

For the parts not described in detail in embodiments 6 to 14, reference may be made to the descriptions in the embodiments described above, and details thereof are not repeated.

Corresponding to embodiment 1, the present application further provides an apparatus for obtaining vehicle resource occupation information, referring to fig. 16, where the apparatus is applied to a first client, and includes:

a relevant data obtaining unit 1401 for obtaining relevant data of a vehicle traveling on a road, which is sensed by the intelligent roadside device;

an identification information obtaining unit 1402 for obtaining identification information of the vehicle based on the related data;

an identification information sending unit 1403, configured to send the identification information of the vehicle to the first service end, so that the first service end determines the resource occupation information of the vehicle.

The first client is deployed on the intelligent road side equipment, and the identification information of the vehicle is obtained in an edge calculation mode.

Wherein the road is provided with at least two stations,

the device further comprises:

a station information obtaining unit, configured to obtain information of a first station associated with a location where the vehicle is located;

and the station information sending unit is used for sending the information of the first station to the first service end so that the first service end can determine the resource occupation cost information of the vehicle according to the information of the first station.

Wherein the station is provided with a gate for controlling the passage of vehicles,

the device further comprises:

and the control unit is used for controlling the gate to pass the vehicle according to the passing result information issued by the first server, wherein the passing result information is obtained after the first server passes the vehicle according to the resource occupation information.

Wherein the apparatus further comprises:

a data extraction unit, which is used for extracting data related to the vehicle from the related data when the vehicle has abnormal traffic behavior at the station;

and the data sending unit is used for sending the data related to the vehicle to a second server so that the second server can determine whether the vehicle is an abnormal vehicle.

Wherein the resource occupation information is resource occupation cost information,

wherein the apparatus further comprises:

the identification information acquisition unit is used for acquiring information for identifying the identity of the vehicle;

the identification information obtaining unit is used for obtaining the identification information of the vehicle according to the related data after the identification information obtaining unit obtains the information for identifying the identity of the vehicle.

Wherein a road section covered by the sensing range of the intelligent road side equipment is provided with a first boundary, and the first boundary is provided with a detection device,

the identity recognition information obtaining unit is specifically configured to:

and receiving the information for identifying the vehicle submitted by the detection equipment, wherein the information for identifying the vehicle is generated when the detection equipment determines that the vehicle passes through the first boundary.

The identity identification information obtaining unit is specifically configured to:

and according to the position information of the vehicle extracted from the related data and the position information of the first boundary, when the vehicle is determined to pass through the first boundary, the information for identifying the vehicle is obtained.

The first boundary is a boundary through which a vehicle passes when entering the sensing range of the intelligent road side equipment.

And if an identification region is arranged in the perception range of the intelligent road side equipment, the first boundary is a boundary through which the vehicle passes when driving into the identification region.

Wherein the related data is video data collected by the intelligent road side equipment, the identification information of the vehicle is the license plate information of the vehicle,

the identification information obtaining unit includes:

the license plate recognition result obtaining unit is used for determining at least one first image frame from the video data, respectively performing license plate recognition on each first image frame, and obtaining respective corresponding license plate recognition results, wherein the license plate recognition results comprise license plate information and corresponding confidence coefficient information;

and the target license plate recognition result determining unit is used for determining a target license plate recognition result from at least one license plate recognition result according to the confidence information and obtaining license plate information of the vehicle according to the target license plate recognition result.

Wherein the apparatus further comprises:

a threshold information obtaining unit configured to obtain first confidence threshold information;

and the license plate recognition ending unit is used for ending the license plate recognition process when the confidence coefficient information in the license plate recognition result corresponding to the first image frame meets the requirement of the first confidence coefficient threshold information.

Wherein the first confidence threshold is a preset proportion value,

the license plate recognition ending unit is specifically used for:

obtaining second confidence threshold information, and determining a second image frame from the first image frame according to the second confidence threshold information, wherein the confidence information in the license plate recognition result corresponding to the second image frame is not lower than the second confidence threshold;

and if the ratio of the number of the second image frames to the number of the first image frames is not less than the preset ratio value, determining that confidence information in the license plate recognition result corresponding to the first image frame meets the requirement of the first confidence threshold information.

Wherein the first confidence threshold is a preset value,

the license plate recognition ending unit is specifically used for:

performing fusion processing on confidence information in the license plate recognition result corresponding to the first image frame to obtain fusion confidence;

and if the fusion confidence coefficient is not less than the preset value, determining that confidence coefficient information in the license plate recognition result corresponding to the first image frame meets the requirement of the first confidence coefficient threshold information.

Wherein a second boundary is arranged on a road section covered by the sensing range of the intelligent road side equipment,

the device further comprises:

a third image frame determining unit, configured to determine at least one third image frame from the video data when the confidence information in the license plate recognition result corresponding to the first image frame does not meet the requirement of the first confidence threshold information and it is determined that the vehicle does not reach the second boundary;

the license plate recognition ending unit is specifically used for:

and acquiring a license plate recognition result corresponding to each third image frame, and determining whether to end the license plate recognition process according to the confidence information in the first image frame and the license plate recognition results corresponding to the third image frames and the first confidence threshold information.

And the second boundary is a boundary through which the vehicle passes when driving out of the perception range of the intelligent road-side equipment.

And if an identification area is arranged in the perception range of the intelligent road side equipment, the second boundary is a boundary through which the vehicle passes when driving away from the identification area.

Wherein the apparatus further comprises:

the fourth image frame information obtaining unit is used for obtaining information which is sent by adjacent intelligent road side equipment and is related to a fourth image frame, the adjacent intelligent road side equipment is the last intelligent road side equipment passed by the vehicle, and the fourth image frame is an image frame used for carrying out license plate recognition on the vehicle in related data sensed by the adjacent intelligent road side equipment;

the license plate recognition result obtaining unit is further configured to: obtaining a license plate recognition result corresponding to the fourth image frame according to the information related to the fourth image frame;

the target license plate recognition result determining unit is specifically configured to: and determining the target license plate recognition result from the license plate recognition result corresponding to the first image frame and the license plate recognition result corresponding to the fourth image frame according to the confidence information.

Wherein the identification information of the vehicle is characteristic information of the vehicle, and the identification information obtaining unit further includes:

the vehicle detection result obtaining unit is used for determining at least one fifth image frame from the video data, and respectively carrying out vehicle detection on each fifth image frame to obtain respective corresponding vehicle detection results, wherein the vehicle detection results comprise characteristic information and corresponding confidence degree information;

and the characteristic information obtaining unit is used for processing the characteristic information in the at least one vehicle detection result according to the confidence coefficient information to obtain the characteristic information of the vehicle.

Wherein, if an overlapping area exists between the perception ranges of two adjacent intelligent road side devices,

the device further comprises:

a sixth image frame information obtaining unit, configured to obtain, when the vehicle is located in the overlap area, information related to a sixth image frame sent by an adjacent intelligent roadside device, where the adjacent intelligent roadside device is a last intelligent roadside device that the vehicle passes through, and the sixth image frame is an image frame used for vehicle detection on the vehicle in the related data sensed by the adjacent intelligent roadside device;

the vehicle detection result obtaining unit is further configured to: obtaining a vehicle detection result corresponding to the sixth image frame according to the information related to the sixth image frame;

the feature information obtaining unit is specifically configured to: and processing the vehicle characteristic information in the vehicle detection results corresponding to the fifth image frame and the sixth image frame according to the confidence information to obtain the vehicle characteristic information.

Corresponding to embodiment 1, an embodiment of the present application further provides an apparatus for obtaining vehicle resource occupation information, referring to fig. 17, where the apparatus is applied to a first service end, and includes:

an identification information receiving unit 1501, configured to receive identification information of a vehicle submitted by a first client, where the identification information of the vehicle is obtained by the first client from data related to the vehicle traveling on a road and sensed by an intelligent roadside device;

a resource occupation information determination unit 1502 for determining resource occupation information of the vehicle having the identification information.

Wherein the apparatus further comprises:

the station information receiving unit is used for receiving information of a first station related to the current position of the vehicle, which is submitted by the first client;

the resource occupation information determining unit is specifically configured to:

when information of a second station associated with the identification information of the vehicle is obtained, determining resource calculation mode information associated with a road section between the first station and the second station; and determining the resource occupation information of the vehicle according to the resource calculation mode information.

Wherein the apparatus further comprises:

and the passing result information sending unit is used for carrying out passing processing on the vehicle according to the resource occupation information and sending the passing result information to the third server.

The embodiment of the present application further provides an apparatus for determining an abnormal vehicle, referring to fig. 18, where the apparatus is applied to a second server, and the apparatus includes:

a vehicle information base obtaining unit 1601, configured to obtain a vehicle information base, where legal vehicle characteristic information associated with license plate information is stored in the vehicle information base;

a data receiving unit 1602, configured to receive data related to a vehicle submitted by a first client, and extract license plate information and to-be-verified vehicle feature information of the vehicle from the data, where the data related to the vehicle is extracted from related data sensed by an intelligent roadside device by the first client when the vehicle has an abnormal traffic behavior at a station

A legal information obtaining unit 1603, configured to obtain legal vehicle feature information associated with the license plate information from the vehicle information base;

an abnormal vehicle determining unit 1604, configured to determine that the vehicle is an abnormal vehicle if the to-be-verified vehicle characteristic information and the legal vehicle characteristic information do not match.

Corresponding to embodiment 3, the present application further provides an apparatus for obtaining vehicle resource occupation information, referring to fig. 19, where the apparatus is applied to a first client, and includes:

a relevant data obtaining unit 1701 for obtaining relevant data of a vehicle traveling on a road sensed by the intelligent roadside apparatus;

an information obtaining unit 1702, configured to obtain identification information and first position information of the vehicle according to the related data;

an information sending unit 1703, configured to send the identification information of the vehicle and the first location information to the first server, so that the first server determines the resource occupation information of the vehicle according to the first location information.

Wherein the apparatus further comprises:

the road information obtaining unit is used for obtaining information of a road associated with the intelligent road side equipment;

and the road information sending unit is used for sending the information of the road to the first service end so that the first service end can determine the resource occupation cost information of the vehicle according to the first position information and the information of the road.

The location information sending unit is further configured to send the first location information to a second client associated with the vehicle, so that the second client pushes resource occupation information to the vehicle according to the first location information.

Corresponding to embodiment 3, an embodiment of the present application further provides an apparatus for obtaining vehicle resource occupation information, referring to fig. 20, where the apparatus is applied to a first service end, and includes:

an information receiving unit 1801, configured to receive identification information and first location information of a vehicle, where the identification information and the first location information of the vehicle are obtained by a first client from data related to the vehicle traveling on a road, and the data is perceived by an intelligent roadside device by the first client;

a resource calculation manner information determination unit 1802 configured to determine resource calculation manner information associated with a link between the first location and the second location, when second location information associated with the identification information of the vehicle is obtained;

a resource occupation information determining unit 1803, configured to determine resource occupation information of the vehicle according to the resource calculation manner information.

Wherein the apparatus further comprises:

the road information receiving unit is used for receiving the information of the road associated with the intelligent road side equipment submitted by the first client;

the resource calculation mode information determination unit is specifically configured to:

and determining resource calculation mode information associated with the road section between the first position and the second position according to the information of the road.

Corresponding to embodiment 4, the present application further provides an apparatus for obtaining vehicle resource occupation information, referring to fig. 21, where the apparatus is applied to a first client, and includes:

a relevant data obtaining unit 1901, configured to obtain, by a first client, relevant data of a vehicle in a driving area, which is sensed by an intelligent roadside device;

an information obtaining unit 1902, configured to obtain, according to the related data, identification information and first location information of the vehicle;

an information sending unit 1903, configured to send the identification information of the vehicle and the first location information to a first service end, so that the first service end determines the resource occupation information of the vehicle.

Corresponding to embodiment 4, an embodiment of the present application further provides an apparatus for obtaining vehicle resource occupation information, referring to fig. 22, where the apparatus is applied to a first service end, and includes:

the information receiving unit 2001 is configured to receive identification information and first position information of a vehicle, which are submitted by a first client, where the identification information and the first position information of the vehicle are obtained by the first client from data related to the vehicle in a driving area, and the data is perceived by an intelligent roadside device;

a deduction rule information determining unit 2002, configured to determine resource calculation manner information associated with the driving area when obtaining second location information associated with the identification information of the vehicle;

a resource occupation cost information determination unit 2003, configured to determine resource occupation information of the vehicle according to the resource calculation manner information.

Corresponding to embodiment 5, an embodiment of the present application further provides an information pushing apparatus, referring to fig. 23, where the apparatus is applied to a first client, and includes:

a related data obtaining unit 2101, configured to obtain related data of a vehicle traveling on a road, which is sensed by an intelligent roadside device;

an information obtaining unit 2102 configured to obtain identification information of the vehicle and first position information based on the related data;

an information sending unit 2103, configured to send the first location information to a second client associated with the identification information of the vehicle, so that the second client determines resource occupation information of the vehicle and pushes information.

Corresponding to embodiment 5, an embodiment of the present application further provides an information pushing apparatus, referring to fig. 24, where the apparatus is applied to a second client, and includes:

a location information receiving unit 2201, configured to receive first location information of a vehicle associated with a second client sent by a first client, where the first location information is obtained by the first client from data related to the vehicle traveling on the road and perceived by an intelligent roadside device;

a resource calculation manner information determination unit 2202 configured to determine resource calculation manner information of a link association between the first position and the second position when second position information associated with the vehicle is obtained;

the information pushing unit 2203 is configured to determine resource occupation information of the vehicle according to the resource calculation manner information, and push information to the vehicle.

In addition, an embodiment of the present application further provides an electronic device, including:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

And an electronic device comprising:

one or more processors; and

FIG. 25 illustrates an architecture of a computer system that may include, in particular, a processor 2310, a video display adapter 2311, a disk drive 2312, an input/output interface 2313, a network interface 2314, and a memory 2320. The processor 2310, the video display adapter 2311, the disk drive 2312, the input/output interface 2313, the network interface 2314, and the memory 2320 may be communicatively coupled via a communication bus 2330.

The processor 2310 may be implemented by a general CPU (Central Processing Unit), a microprocessor, an Application Specific Integrated Circuit (ASIC), or one or more Integrated circuits, and is configured to execute related programs to implement the technical solution provided in the present Application.

The Memory 2320 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, or the like. The memory 2320 may store an operating system 2321 for controlling the operation of the computer system 2300, a Basic Input Output System (BIOS) for controlling low-level operations of the computer system 2300. In addition, a web browser 2323, a data storage management system 2324, a system 2325 for obtaining resource occupation information, and the like can also be stored. The system 2325 for obtaining the resource occupation information may be a server that specifically implements the operations of the foregoing steps in this embodiment of the application. In summary, when the technical solution provided by the present application is implemented by software or firmware, the relevant program codes are stored in the memory 2320 and called for execution by the processor 2310.

The input/output interface 2313 is used for connecting an input/output module to realize information input and output. The i/o module may be configured as a component in a device (not shown) or may be external to the device to provide a corresponding function. The input devices may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output devices may include a display, a speaker, a vibrator, an indicator light, etc.

The network interface 2314 is used for connecting a communication module (not shown in the figure) to realize communication interaction between the device and other devices. The communication module can realize communication in a wired mode (such as USB, network cable and the like) and also can realize communication in a wireless mode (such as mobile network, WIFI, Bluetooth and the like).

The bus 2330 includes a path to transfer information between various components of the device, such as the processor 2310, the video display adapter 2311, the disk drive 2312, the input/output interface 2313, the network interface 2314, and the memory 2320.

In addition, the computer system 2300 can also obtain information of specific extraction conditions from the virtual resource object extraction condition information database 2341 for performing condition judgment, and the like.

It should be noted that although the above devices only illustrate the processor 2310, the video display adapter 2311, the disk drive 2312, the input/output interface 2313, the network interface 2314, the memory 2320, the bus 2330, and the like, in particular implementations the devices may also include other components necessary for proper operation. Furthermore, it will be understood by those skilled in the art that the apparatus described above may also include only the components necessary to implement the solution of the present application, and not necessarily all of the components shown in the figures.

Fig. 26 illustrates an architecture of an electronic device, for example, device 2400 can be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, an aircraft, etc.

Referring to fig. 26, device 2400 may include one or more of the following components: a processing component 2402, a memory 2404, a power component 2406, a multimedia component 2408, an audio component 2410, an interface for input/output (I/O) 2412, a sensor component 2414, and a communication component 2416.

The processing component 2402 generally controls the overall operation of the device 2400, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing element 2402 may include one or more processors 2420 to execute instructions to perform all or part of the steps of the methods provided by the disclosed subject matter. Further, processing component 2402 may include one or more modules that facilitate interaction between processing component 2402 and other components. For example, the processing component 2402 can include a multimedia module to facilitate interaction between the multimedia component 2408 and the processing component 2402.

Memory 2404 is configured to store various types of data to support operation at device 2400. Examples of such data include instructions for any application or method operating on device 2400, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 2404 may be implemented by any type of volatile or non-volatile memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.

Power supply component 2406 provides power to the various components of device 2400. Power components 2406 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for device 2400.

The multimedia component 2408 includes a screen that provides an output interface between the device 2400 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 2408 includes a front facing camera and/or a rear facing camera. The front-facing camera and/or the back-facing camera may receive external multimedia data when device 2400 is in an operational mode, such as a capture mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

The audio component 2410 is configured to output and/or input audio signals. For example, the audio component 2410 may include a Microphone (MIC) configured to receive external audio signals when the device 2400 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 2404 or transmitted via the communication component 2416. In some embodiments, the audio component 2410 further comprises a speaker for outputting audio signals.

I/O interface 2412 provides an interface between processing component 2402 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

Sensor component 2414 includes one or more sensors for providing various aspects of state assessment to device 2400. For example, sensor component 2414 can detect an open/closed state of device 2400, the relative positioning of components, such as a display and a keypad of device 2400, sensor component 2414 can also detect a change in position of device 2400 or a component of device 2400, the presence or absence of user contact with device 2400, an orientation or acceleration/deceleration of device 2400, and a change in temperature of device 2400. The sensor component 2414 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 2414 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 2414 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

Communication component 2416 is configured to facilitate communications between device 2400 and other devices in a wired or wireless manner. Device 2400 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 2416 receives a broadcast signal or broadcast associated information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 2416 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the device 2400 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer readable storage medium including instructions, such as the memory 2404 including instructions, executable by the processor 2420 of the device 2400 to perform the methods provided by the disclosed aspects is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

From the above description of the embodiments, it is clear to those skilled in the art that the present application can be implemented by software plus necessary general hardware platform. Based on such understanding, the technical solutions of the present application may be essentially or partially implemented in the form of a software product, which may be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the embodiments or some parts of the embodiments of the present application.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, the system or system embodiments are substantially similar to the method embodiments and therefore are described in a relatively simple manner, and reference may be made to some of the descriptions of the method embodiments for related points. The above-described system and system embodiments are only illustrative, wherein the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.

The method, the system, the device and the electronic equipment for obtaining vehicle resource occupation information provided by the application are introduced in detail, a specific example is applied in the text to explain the principle and the implementation mode of the application, and the description of the embodiment is only used for helping to understand the method and the core idea of the application; meanwhile, for a person skilled in the art, according to the idea of the present application, the specific embodiments and the application range may be changed. In view of the above, the description should not be taken as limiting the application.

Claims

1. A system for obtaining vehicle resource occupation information,

the system comprises: a first client and a first server,

2. The system of claim 1,

the system further comprises a second client for receiving the first request,

the first service end is used for sending the resource occupation information to a second client end associated with the vehicle;

and the second client is used for pushing the information of the vehicle according to the resource occupation information.

3. A method of obtaining vehicle resource occupancy information, comprising:

4. The method of claim 3,

the first client is deployed on the intelligent road side equipment, and the identification information of the vehicle is obtained through an edge calculation mode.

5. The method of claim 3, wherein at least two stops are provided on the roadway,

the method further comprises the following steps:

obtaining information of a first station related to the position of the vehicle;

and sending the information of the first station to the first service end so that the first service end can determine the resource occupation cost information of the vehicle according to the information of the first station.

6. The method according to claim 5, characterized in that the station is provided with a gate for controlling the passage of vehicles,

the method further comprises the following steps:

and controlling the gate to pass the vehicle according to passing result information issued by the first server, wherein the passing result information is obtained after the first server passes the vehicle according to the resource occupation information.

7. The method of claim 5, further comprising:

if the vehicle has abnormal traffic behavior at the station, extracting data related to the vehicle from the related data;

and sending the data related to the vehicle to a second server so that the second server determines whether the vehicle is an abnormal vehicle.

8. The method of claim 3, further comprising:

and after the information for identifying the identity of the vehicle is obtained, the step of obtaining the identification information of the vehicle according to the related data is executed.

9. The method according to claim 8, wherein a first boundary is arranged on a road segment covered by the sensing range of the intelligent road-side device, and a detection device is arranged at the first boundary,

the obtaining of the information for identifying the vehicle includes:

10. The method of claim 8,

the obtaining of the information for identifying the vehicle includes:

11. The method according to claim 9 or 10,

the first boundary is a boundary through which the vehicle passes when entering the sensing range of the intelligent road side equipment.

12. The method according to claim 9 or 10,

13. The method of claim 3, wherein the relevant data is video data collected by the intelligent roadside apparatus, the identification information of the vehicle is license plate information of the vehicle,

the obtaining the identification information of the vehicle according to the related data comprises:

determining at least one first image frame from the video data, and respectively performing license plate recognition on each first image frame to obtain respective corresponding license plate recognition results, wherein the license plate recognition results comprise license plate information and corresponding confidence coefficient information;

and determining a target license plate recognition result from at least one license plate recognition result according to the confidence information, and obtaining license plate information of the vehicle according to the target license plate recognition result.

14. The method of claim 13, further comprising:

obtaining first confidence threshold information;

and if the confidence information in the license plate recognition result corresponding to the first image frame meets the requirement of the first confidence threshold information, ending the license plate recognition process.

15. The method of claim 14, wherein the first confidence threshold is a preset proportional value,

the confidence information in the license plate recognition result corresponding to the first image frame meets the requirement of the first confidence threshold information, and the method comprises the following steps:

16. The method of claim 14, wherein the first confidence threshold is a preset value,

17. The method of claim 14, wherein a second boundary is provided on a road segment covered by the intelligent RSU sensing range,

the method further comprises the following steps:

if the confidence information in the license plate recognition result corresponding to the first image frame does not meet the requirement of the first confidence threshold information and the vehicle is determined not to reach the second boundary, determining at least one third image frame from the video data;

18. The method of claim 17,

the second boundary is a boundary through which the vehicle passes when driving out of the sensing range of the intelligent road side device.

19. The method of claim 17,

20. The method of claim 13, further comprising:

obtaining information related to a fourth image frame sent by adjacent intelligent road side equipment, wherein the adjacent intelligent road side equipment is the last intelligent road side equipment passed by the vehicle, and the fourth image frame is an image frame used for carrying out license plate recognition on the vehicle in related data sensed by the adjacent intelligent road side equipment;

obtaining a license plate recognition result corresponding to the fourth image frame according to the information related to the fourth image frame;

the determining a target license plate recognition result from at least one license plate recognition result according to the confidence information includes:

and determining the target license plate recognition result from the license plate recognition result corresponding to the first image frame and the license plate recognition result corresponding to the fourth image frame according to the confidence information.

21. The method according to claim 13, wherein the identification information of the vehicle is characteristic information of the vehicle,

the obtaining the identification information of the vehicle according to the related data further comprises:

determining at least one fifth image frame from the video data, and respectively carrying out vehicle detection on each fifth image frame to obtain respective corresponding vehicle detection results, wherein the vehicle detection results comprise characteristic information and corresponding confidence information;

and processing the characteristic information in the at least one vehicle detection result according to the confidence coefficient information to obtain the characteristic information of the vehicle.

22. The method of claim 21, wherein if there is an overlap region between the perception ranges of two adjacent intelligent roadside devices,

the method further comprises the following steps:

if the vehicle is located in the overlapping area, obtaining information related to a sixth image frame sent by adjacent intelligent road side equipment, wherein the adjacent intelligent road side equipment is the last intelligent road side equipment passed by the vehicle, and the sixth image frame is an image frame used for vehicle detection on the vehicle in the related data sensed by the adjacent intelligent road side equipment;

obtaining a vehicle detection result corresponding to the sixth image frame according to the information related to the sixth image frame;

the processing the vehicle characteristic information in the at least one vehicle detection result according to the confidence information to obtain the vehicle characteristic information includes:

and processing the vehicle characteristic information in the vehicle detection results corresponding to the fifth image frame and the sixth image frame according to the confidence information to obtain the vehicle characteristic information.

23. A method of obtaining vehicle resource occupancy information, comprising:

24. The method of claim 23, further comprising:

receiving information of a first station associated with the current position of the vehicle, which is submitted by the first client;

if the information of the second station associated with the identification information of the vehicle is obtained, determining the resource calculation mode information associated with the road section between the first station and the second station;

the determining the resource occupation information of the vehicle with the identification information comprises: and determining the resource occupation information of the vehicle according to the resource calculation mode information.

25. The method of claim 23, further comprising:

and performing traffic processing on the vehicle according to the resource occupation information, and sending traffic result information to a third server.

26. A method for determining an abnormal vehicle, comprising:

27. A method of obtaining vehicle resource occupancy information, comprising:

28. The method of claim 27, further comprising:

obtaining information of a road associated with the intelligent roadside device;

and sending the information of the road to the first service end so that the first service end can determine the resource occupation information of the vehicle according to the first position information and the information of the road.

29. A method of obtaining vehicle resource occupancy information, comprising:

30. The method of claim 29, further comprising:

receiving information of roads related to the intelligent road side equipment submitted by the first client;

the determining resource calculation mode information of the road section association between the first position and the second position comprises:

31. A method of obtaining vehicle resource occupancy information, comprising:

32. A method of obtaining vehicle resource occupancy information, comprising:

33. An information pushing method, comprising:

34. An information pushing method, comprising:

35. An apparatus for obtaining vehicle resource occupation information, applied to a first client, includes:

36. An apparatus for obtaining vehicle resource occupation information, applied to a first service end, includes:

37. An apparatus for determining an abnormal vehicle, applied to a second server, comprises:

38. An apparatus for obtaining vehicle resource occupation information, applied to a first client, includes:

39. An apparatus for obtaining vehicle resource occupation information, applied to a first service end, includes:

40. An apparatus for obtaining vehicle resource occupation information, applied to a first client, includes:

41. An apparatus for obtaining vehicle resource occupation information, applied to a first service end, includes:

42. An information pushing apparatus, applied to a first client, includes:

43. An information pushing apparatus, applied to a second client, includes:

44. An electronic device, comprising:

one or more processors; and

45. An electronic device, comprising:

one or more processors; and

46. An electronic device, comprising:

one or more processors; and

47. An electronic device, comprising:

one or more processors; and

48. An electronic device, comprising:

one or more processors; and

49. An electronic device, comprising:

one or more processors; and

50. An electronic device, comprising:

one or more processors; and

51. An electronic device, comprising:

one or more processors; and

52. An electronic device, comprising:

one or more processors; and