CN111565423B

CN111565423B - Traffic data processing method and device

Info

Publication number: CN111565423B
Application number: CN202010250805.7A
Authority: CN
Inventors: 刘琪; 邱佳慧; 宋蒙; 许珺; 许幸荣
Original assignee: China United Network Communications Group Co Ltd
Current assignee: China United Network Communications Group Co Ltd
Priority date: 2020-04-01
Filing date: 2020-04-01
Publication date: 2023-05-30
Anticipated expiration: 2040-04-01
Also published as: CN111565423A

Abstract

The application provides a traffic data processing method and device, relates to the technical field of communication, and can reduce time delay when traffic data is transmitted between an RSU and a data center. The method comprises the following steps: the RSU acquires traffic data of a target road section; the traffic data of the target road section is used for representing the traffic condition of the target road section; the RSU acquires traffic data of a first service and traffic data of a second service from the acquired traffic data; the first service and the second service are both pre-configured services in the RSU; the QoS requirement of the first service is higher than the QoS requirement of the second service; the RSU sends traffic data of a first service to the edge cloud platform through a first network; the RSU sends traffic data of a second service to the central cloud platform through a second network; the QoS of the first network is higher than the QoS of the second network. The method and the device are used in the processing process of traffic data.

Description

Traffic data processing method and device

Technical Field

The present disclosure relates to the field of communications technologies, and in particular, to a traffic data processing method and device.

Background

Due to the increasing number of vehicles, current traffic congestion problems and traffic safety problems are becoming more and more serious. In order to solve the traffic jam problem and the traffic safety problem, the traffic flow data of the road needs to be acquired in real time, the real-time traffic flow data of the road is analyzed and processed, the traffic decision of the road is determined, and scientific and effective basis is provided for the travel of the user.

At present, the method for acquiring real-time traffic flow data of the road mainly comprises the following steps: a Road Side Unit (RSU) interacts with a vehicle-mounted terminal on a Road to acquire vehicle information, such as position information, speed information, and the like. The RSU uploads this vehicle information to the data center via a second generation/third generation mobile communication technology (second Generation/3rd Generation,2G/3G) network. The data center processes the vehicle information to obtain traffic flow information of the road, such as information of vehicle speed, vehicle flow, vehicle density and the like. And the data center generates traffic decisions according to the traffic flow information and issues the traffic decisions to the RSU through the 2G/3G network. The RSU broadcasts these traffic decisions to the vehicles to assist in vehicle traffic.

The real-time performance of traffic service is generally required to be higher, but the time delay of traffic data transmission in the method is higher, so that the real-time performance requirement of traffic service can not be met.

Disclosure of Invention

The application provides a traffic data processing method and device, which solve the problem of higher time delay in the prior art when traffic data is transmitted between an RSU and a data center.

In order to achieve the above purpose, the present application adopts the following technical scheme:

in a first aspect, the present application provides a method for processing traffic data, the method including: the road side unit RSU acquires traffic data of a target road section; the traffic data of the target road section is used for representing the traffic condition of the target road section; the RSU acquires traffic data of a first service and traffic data of a second service from the acquired traffic data; the first service and the second service are both pre-configured services in the RSU; the quality of service (quality of service, qoS) requirement of the first service is higher than the QoS requirement of the second service; the RSU sends traffic data of a first service to the edge cloud platform through a first network; the RSU sends traffic data of a second service to the central cloud platform through a second network; the QoS of the first network is higher than the QoS of the second network.

Based on the technical scheme, the RSU determines traffic data corresponding to each service and adopts different networks for transmission according to QoS requirements of the service. For the first service with higher QoS requirement, the RSU sends traffic data of the first service to the edge cloud platform through the 5G network. In this way, the RSU transmits traffic data of the first service through the low-latency and large-bandwidth characteristics of the 5G network and the characteristic that the deployed position of the edge cloud is generally closer to the RSU than the deployed position of the center cloud, so that the transmission latency of the first service is greatly reduced and the instantaneity of the first service is improved.

In addition, for a second service with lower QoS requirement, the RSU sends traffic data of the second service to the central cloud platform through the 4G network. Therefore, the RSU transmits traffic data through the sub-networks, the data quantity transmitted in each network is greatly reduced, the probability of data congestion is reduced, and meanwhile, more expensive 5G resources occupied by the traffic data are also reduced.

In a second aspect, the present application provides a traffic data processing apparatus, the apparatus comprising: a communication unit and a processing unit; the communication unit is used for acquiring traffic data of a target road section; the traffic data of the target road section is used for representing the traffic condition of the target road section; the processing unit is used for acquiring traffic data of a first service and traffic data of a second service from the acquired traffic data; the first service and the second service are both pre-configured services in the RSU; the quality of service QoS requirement of the first service is higher than the QoS requirement of the second service; the communication unit is also used for sending traffic data of the first service to the edge cloud platform through the first network; the communication unit is also used for sending traffic data of a second service to the central cloud platform through a second network; the QoS of the first network is higher than the QoS of the second network.

In a third aspect, the present application provides a traffic data processing apparatus, including: a processor and a communication interface; the communication interface is coupled to a processor for running a computer program or instructions to implement the method of processing traffic data as described in any one of the possible implementations of the first aspect and the first aspect.

In a fourth aspect, the present application provides a computer readable storage medium having instructions stored therein which, when executed on processing of traffic data, cause the processing of traffic data to perform a method of processing traffic data as described in any one of the possible implementations of the first aspect and the first aspect.

In a fifth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on a processing device of traffic data, cause the processing device of traffic data to perform the method of processing traffic data as described in any one of the possible implementations of the first aspect and the first aspect.

In a sixth aspect, embodiments of the present application provide a chip comprising a processor and a communication interface, the communication interface and the processor being coupled, the processor being configured to execute a computer program or instructions to implement a method of processing traffic data as described in any one of the possible implementations of the first aspect and the first aspect.

Specifically, the chip provided in the embodiments of the present application further includes a memory, configured to store a computer program or instructions.

Drawings

Fig. 1 is a system architecture diagram of a traffic communication system according to an embodiment of the present application;

fig. 2 is a hardware configuration diagram of an RSU according to an embodiment of the present application;

fig. 3 is a hardware configuration diagram of another RSU according to an embodiment of the present application;

fig. 4 is a flowchart of a traffic data processing method provided in an embodiment of the present application;

FIG. 5 is a flowchart of another method for processing traffic data according to an embodiment of the present disclosure;

FIG. 6 is a flowchart of another method for processing traffic data according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of an RSU according to an embodiment of the present application;

fig. 8 is a schematic diagram of a device structure of a chip according to an embodiment of the present application.

Detailed Description

The following describes in detail the traffic data processing method and device provided in the embodiments of the present application with reference to the accompanying drawings.

The term "and/or" is herein merely an association relationship describing an associated object, meaning that there may be three relationships, e.g., a and/or B, may represent: a exists alone, A and B exist together, and B exists alone.

The terms "first" and "second" and the like in the description and in the drawings are used for distinguishing between different objects or for distinguishing between different processes of the same object and not for describing a particular sequential order of objects.

Furthermore, references to the terms "comprising" and "having" and any variations thereof in the description of the present application are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed but may optionally include other steps or elements not listed or inherent to such process, method, article, or apparatus.

It should be noted that, in the embodiments of the present application, words such as "exemplary" or "such as" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "for example" should not be construed as preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplary" or "such as" is intended to present related concepts in a concrete fashion.

In the description of the present application, unless otherwise indicated, the meaning of "a plurality" means two or more.

The following explains the terms related to the embodiments of the present application, so as to facilitate the understanding of the reader.

(1) Vehicle terminal

The vehicle terminal is also called as a vehicle-mounted terminal, and is front-end equipment of the vehicle monitoring and management system. The vehicle terminal has functions of positioning, vehicle wireless communication technology (vehicle to everything, V2X) communication function, driving state recording and the like. The vehicle terminal also has a function of acquiring a real-time running state of the vehicle, such as a current position, a vehicle speed, and a running direction of the vehicle. The vehicle terminal also has a function of acquiring real-time vehicle conditions of the vehicle, such as acquiring fuel consumption information of the vehicle, battery voltage, intake pipe temperature, current vehicle speed, engine water temperature, engine speed, and the like. The vehicle terminal communicates with other vehicle terminals, pedestrian terminals, RSUs and the like via a V2X network.

(2) Pedestrian terminal

The pedestrian terminal mainly refers to a smart phone carried by a pedestrian or intelligent wearable equipment. The pedestrian terminal has a positioning function and a communication function. The pedestrian terminal may communicate with the vehicle terminal, other pedestrian terminals, and the like through the V2X network.

(3) Traffic management equipment

The traffic management device is a device for managing road traffic, which is arranged by a traffic management department. The traffic control equipment is mainly used for collecting vehicle information, traffic flow information and the like of a target road section. The traffic control device transmits the information to the RSU so that the RSU can determine the road traffic condition of the target road section according to the information.

Common traffic management equipment includes: camera supervisory equipment, radar supervisory equipment, traffic signal lamp, information tablet are described below respectively.

I, camera supervisory equipment

The camera monitoring equipment has a video acquisition function and a data communication function. The camera monitoring equipment is mainly used for collecting video information and picture information on a target road, and determining the violation behaviors (such as reverse running, solid line lane changing, illegal parking and the like) of the vehicle or determining the road congestion condition of the target road section and the like according to the collected video and picture information. The camera monitoring device can send the collected data to the RSU in a wired transmission or wireless transmission mode.

II, radar monitoring equipment

The radar monitoring device has a speed measuring function and a data communication function. The radar monitoring device is mainly used for measuring the speed of a vehicle and detecting the traffic flow of a target road section, and transmitting the information to the RSU.

III, traffic signal lamp

The common traffic signal lamp is a traffic light at an intersection, and vehicles and pedestrians are guided to pass mainly through displaying red lights, green lights and yellow lights. The traffic signal lamp in the embodiment of the application has a communication function besides the function of guiding vehicles and pedestrians to pass through, and can send signal lamp state information of the traffic signal lamp to roadside units.

IV, information board

The information board has the functions of displaying words, images and symbols. The information board is used for guiding and reminding the problems needing to pay attention to road sections in front of vehicles and pedestrians through displayed characters, images and symbols. The information board in the embodiment of the application has the functions of displaying characters, images and symbols, and also has the communication function, and can send the information displayed by the information board to the roadside unit.

(4) Long term evolution (long term evolution, LTE) -V2X communication network

The LTE-V2X refers to a V2X Internet of vehicles wireless communication technology formed based on the evolution of an LTE mobile communication technology, and comprises two working modes of cellular communication (Uu) and direct communication (PC 5). The cellular communication mode supports high-bandwidth, wide-coverage and long-distance communication connection by means of the existing LTE cellular network. The direct communication mode can work in network coverage and can work outside the network coverage, and direct communication between terminal equipment is carried out by using ITS special frequency spectrum near 5.9GHz, so that low-delay and high-reliability communication between the vehicle and nodes such as surrounding vehicles, road side infrastructure, pedestrians and the like is realized.

(5)RSU

The RSU is a road-side hub device of the vehicle-road cooperative system. The RSU acquires travel information of the vehicle terminal, vehicle information, and the like by communicating with the vehicle terminal. After the RSU acquires the messages of the vehicle terminal, the messages are sent to a data center (center cloud platform), and the data center makes traffic decisions according to the messages. The RSU is also configured to send traffic decisions to vehicles on the target road segment after receiving the traffic decisions from the data center.

In order to solve the problem that the real-time requirement of traffic service cannot be met in the prior art, the application provides a traffic data processing method, and a Road Side Unit (RSU) determines a plurality of traffic data of a target road section; traffic data of the target road segment is used to characterize traffic conditions of the target road segment. After that, the RSU determines traffic data corresponding to each of the plurality of services; the plurality of services are pre-configured services in the RSU; the plurality of services includes a first service and a second service, wherein the quality of service QoS requirement of the first service is higher than the QoS requirement of the second service. Finally, the RSU sends traffic data of a first service to the edge cloud platform through a first network; the RSU sends traffic data of a second service to the central cloud platform through a second network; the QoS of the first network is higher than that of the second network.

Different from the prior art, the traffic data processing method provided by the embodiment of the application determines traffic data corresponding to each service by the RSU, and adopts different networks for transmission according to QoS requirements of the service. For the first service with higher QoS requirement, the RSU sends traffic data of the first service to the edge cloud platform through the 5G network. In this way, the RSU transmits traffic data of the first service through the low-latency and large-bandwidth characteristics of the 5G network and the characteristic that the deployed position of the edge cloud is generally closer to the RSU than the deployed position of the center cloud, so that the transmission latency of the first service is greatly reduced and the instantaneity of the first service is improved.

The method for configuring the service provided in the embodiment of the present application is applied to the traffic communication system 100 shown in fig. 1, and as shown in fig. 1, the traffic communication system 100 includes:

RSU10, vehicle terminal 20, pedestrian terminal 30, traffic management device 40, center cloud platform 50, and edge cloud platform 60.

Wherein a user of the vehicle terminal 20 collects vehicle information. Wherein the vehicle information includes: the identification of the vehicle, the time stamp, the type of vehicle (ordinary vehicle, special vehicle), license plate number, vehicle position information, and vehicle travel information (including the position of the vehicle, vehicle speed, travel direction, vehicle acceleration, turn signal status), etc. The vehicle terminal 20 is also configured to transmit the collected vehicle information to the RSU 10.

The pedestrian terminal 30 is for collecting pedestrian information. Wherein the pedestrian information includes: pedestrian terminal identification, time stamp, pedestrian position information, height and weight information of the pedestrian, walking information of the pedestrian (including speed, direction and position of walking of the pedestrian), and the like. The pedestrian terminal 30 is also configured to transmit the collected pedestrian information to the RSU 10. The traffic control device 40 is used for collecting traffic information of a target road segment, such as measuring the speed of a vehicle, determining the average speed of the vehicle, determining the data of the vehicle of the target road segment, determining the traffic density of the target road segment, the occupancy of each lane of the target road segment, vehicle violation information, vehicle annual inspection information and the like.

The traffic management device 40 is further configured to send the collected traffic information of the target road segment to the RSU10. In the embodiment of the present application, the traffic management device 40 may be a traffic management device adopted by a traffic management department, for example, a camera monitoring device, a radar monitoring device, a traffic light, a message board, and the like.

The RSU10 user accepts vehicle information from the vehicle terminal 20, pedestrian information from the pedestrian terminal 30, and traffic information of a target link of the traffic control device 40. The RSU10 is further configured to perform data processing on the above information to obtain standardized data, and process part of the data to generate part of auxiliary driving information, traffic management information, and the like. The RSU10 is also configured to send standardized data to the edge cloud platform 60 and the center cloud platform 50, respectively.

The central cloud platform 50 is used to aggregate standardized data from a plurality of RSUs 10. And determines traffic conditions of each road section according to the standardized data, and further generates traffic decisions, auxiliary driving information, traffic management information and the like. The central cloud platform 50 is also used to transmit the generated traffic decisions, auxiliary driving information, traffic management information, etc. to the RSU10.

The edge cloud platform 60 is also used to aggregate standardized data from multiple RSUs 10. And determines traffic conditions of each road section according to the standardized data, and further generates traffic decisions, auxiliary driving information, traffic management information and the like. The edge cloud platform 60 is also used to transmit the generated traffic decisions, auxiliary driving information, traffic management information, etc. to the RSU10.

The center cloud platform 50 is different from the edge cloud platform 60 in that: the real-time performance requirement of the data processed by the edge cloud platform 60 is higher, the calculation amount is generally smaller, and the number of RSUs 10 connected by the edge cloud platform 60 is generally smaller than that of RSUs 10 connected by the central cloud. The real-time performance requirement of the data processed by the central cloud platform 50 is low, and the calculated amount is large.

The RSU10 is further configured to receive traffic decisions, auxiliary driving information, and traffic management information from the central cloud platform 50 and the edge cloud platform 60; and transmits these information to the vehicle terminal 20 and the pedestrian terminal 30.

The RSU shown in fig. 1 may be a terminal or a server having a computing capability, a chip disposed in the terminal or the server, or a system on a chip in the terminal or the server. The hardware architecture of the RSU of fig. 1 will be described below using the computing device shown in fig. 2 as an example.

For ease of understanding, the structure of the RSU in the embodiments of the present application will be described below.

Fig. 2 shows a schematic hardware structure of an RSU according to an embodiment of the present application. As shown in fig. 2, the RSU comprises a processor 11, a memory 12, a communication interface 13, a bus 14. The processor 11, the memory 12 and the communication interface 13 may be connected by a bus 14.

The processor 11 is a control center of the RSU, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 11 may be a general-purpose central processing unit (central processing unit, CPU), or may be another general-purpose processor. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.

As an example, processor 11 may include one or more CPUs, such as CPU0 and CPU1 shown in fig. 2.

Memory 12 may be, but is not limited to, read-only memory (ROM) or other type of static storage device that can store static information and instructions, random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, or electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.

In a possible implementation, the memory 12 may exist separately from the processor 11, and the memory 12 may be connected to the processor 11 through the bus 14 for storing instructions or program code. The processor 11, when calling and executing instructions or program code stored in the memory 12, is capable of implementing the network quality determination method provided by the embodiment of the present invention.

In another possible implementation, the memory 12 may also be integrated with the processor 11.

A communication interface 13 for connecting with other devices via a communication network. The communication network may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 13 may include a receiving unit for receiving data, and a transmitting unit for transmitting data.

Bus 14 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component Interconnect, PCI) bus, or an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 2, but not only one bus or one type of bus.

It should be noted that the structure shown in fig. 2 does not constitute a limitation of the RSU. The RSU may include more or less components than those shown in fig. 2, or may combine certain components, or may have a different arrangement of components.

Fig. 3 shows another hardware structure of the RSU in the embodiment of the present application. As shown in fig. 3, the RSU may include a processor 21 and a communication interface 22. The processor 21 is coupled to a communication interface 22.

The function of the processor 21 may be as described above with reference to the processor 11. The processor 21 also has a memory function, and the function of the memory 12 can be referred to.

The communication interface 22 is used to provide data to the processor 21. The communication interface 22 may be an internal interface of the communication device or an external interface of the RSU (corresponding to the communication interface 13).

It should be noted that the structure shown in fig. 2 (or fig. 3) does not constitute a limitation of the computing device, and the computing device may include more or less components than those shown in fig. 2 (or fig. 3), or may combine some components, or a different arrangement of components.

The service configuration method provided by the embodiment of the present application will be described in detail below with reference to the service configuration system shown in fig. 1 and the computing device shown in fig. 2 (or fig. 3).

As shown in fig. 4, a flow chart of a traffic data processing method according to an embodiment of the present application is provided, and the method includes the following steps:

s101, the RSU determines traffic data of a target road section.

Traffic data of the target road segment is used to characterize traffic conditions of the target road segment.

In a possible implementation manner, traffic data of the target road section is traffic data obtained by performing data processing on data reported by the RSU on a vehicle terminal of the target road section, data reported by a pedestrian terminal and data reported by traffic management equipment.

For example, the data reported by the vehicle terminal includes: vehicle parameter information, vehicle travel information, and the like. The vehicle parameter information may be: license plate number, vehicle model number, vehicle type, etc.; the vehicle travel information includes: vehicle position, vehicle speed, vehicle direction of travel, etc.

The information reported by the pedestrian terminal comprises the following steps: pedestrian terminal information, pedestrian walk information, and the like. Wherein, pedestrian terminal information includes: pedestrian terminal type, pedestrian terminal identification, etc.; the pedestrian walking information includes: pedestrian position information, pedestrian travel speed, pedestrian travel direction, and the like.

The data information reported by the traffic management equipment comprises: target link parameter information, target link traffic flow information, traffic management information of a target link, and the like. The target road section parameter information comprises: the length, width, number of lanes, etc. of the road-side road section; the traffic flow information of the target link includes: number of vehicles, average speed of vehicles, traffic flow, traffic density, vehicle queuing length, etc.; the traffic management information of the target link includes: traffic light blinking information, information sign prompting information, traffic control information and the like.

S102, the RSU acquires traffic data of a first service and traffic data of a second service from the acquired traffic data.

The first service and the second service are both pre-configured services in the RSU; the quality of service QoS requirement of the first service is higher than the QoS requirement of the second service.

In a possible implementation, the RSU determines QoS requirements of the traffic from both transmission delay and transmission bandwidth, respectively, and further determines a first traffic and a second traffic of the one or more traffic. In the following, the details of the RSU determining the first service and the second service according to the transmission delay and the RSU determining the first service and the second service according to the transmission bandwidth will be described.

1. Transmission delay time

The RSU determines the time delay value of each service requirement in a plurality of services and determines a preset time delay threshold. The RSU determines that the service with the delay value of the service requirement being greater than the preset delay threshold is a first service, and the RSU determines that the service with the delay value of the service requirement being less than or equal to the preset delay threshold is a second service.

For example, the RSU determines a preset delay threshold of 30ms.

For traffic jam reminding, auxiliary driving, collision early warning, blind area monitoring, non-motor vehicles break into motor lanes and other businesses needing to make traffic decisions in real time, and the RSU determines that the time delay value of the business needs is 10ms. Further, the RSU determines these services as first services.

For traffic violation reminding, traffic obstacle reminding, speed limit reminding and other services, the RSU determines that the time delay value required by the services is usually 200ms-1000ms. Further, the RSU determines these services as second services.

2. Transmission bandwidth

The RSU determines the transmission bandwidth requirement of each type of service and determines a preset transmission bandwidth threshold. The RSU determines that the service with the transmission bandwidth requirement of the service being larger than the preset transmission bandwidth threshold is a first service, and the RSU determines that the service with the transmission bandwidth requirement of the service being smaller than or equal to the preset transmission bandwidth threshold is a second service.

The RSU may determine a transmission bandwidth requirement of the service according to a data type of traffic data corresponding to the service.

For example, the RSU determines a preset transmission bandwidth threshold of 10Mbps.

For data such as video data, radar data, high-precision map data, etc., the RSU determines that the transmission bandwidth requirement for these types of data exceeds 10Mbps. Further, the RSU determines the traffic with these types of data as the first traffic. The RSU determines that the traffic without these types of data is the second traffic.

It should be noted that, the RSU may classify the service from two dimensions of the transmission delay and the transmission bandwidth, or may classify the service from any one dimension of the transmission delay and the transmission bandwidth.

For example, the RSU determines that the service having the delay value required by the service less than or equal to the preset delay threshold is the first service. Or the RSU determines that the service with the transmission bandwidth required by the service being larger than the preset transmission bandwidth threshold value is the first service. Or, the RSU determines that the delay value required by the service is less than or equal to a preset delay threshold, and the service with the transmission bandwidth required by the service being greater than the preset transmission bandwidth threshold is the first service.

After the RSU determines a first service and a second service of the plurality of services, the RSU determines traffic data corresponding to each service.

Optionally, the RSU has a mapping relationship between traffic and traffic data. According to the mapping relation, the RSU can determine traffic data corresponding to each service.

For example, the plurality of services includes a driving assistance service. The mapping relationship between the auxiliary driving service and the traffic data in the RSU is shown in table 1 below.

TABLE 1

The RSU determines, according to table 1, traffic data corresponding to the driving assistance service, including: the position of the vehicle, the traveling direction of the vehicle, the speed of the vehicle, the distance between the vehicle and the vehicle ahead, the speed of the vehicle ahead, the distance between the vehicle and the next traffic light, and the like.

S103, the RSU sends traffic data of a first service to the edge cloud platform through a first network.

S104, the RSU sends traffic data of the second service to the central cloud platform through the second network.

Wherein the QoS of the first network is higher than the second network. Illustratively, the first network is a 4G network and the second network is a 5G network.

In a possible implementation manner, the RSU is connected to the edge cloud platform through a 5G network; the RSU is connected with the central cloud platform through a 4G network. After the RSU finishes classifying the services of the plurality of services and determining traffic data corresponding to each service, the RSU sends the traffic data of the first service to the edge cloud platform through the 5G network; and the RSU sends traffic data of the second service to the central cloud platform through the 4G network.

It should be noted that the embodiment of the present application does not limit the order of S103 and S104. The RSU may first perform S103, at S104. Alternatively, the RSU may first perform S104, at S103. Alternatively still, the RSU may perform S103 and S104 simultaneously.

It can be understood that the RSU may also be connected to the edge cloud platform through a 4G network and a 5G network, respectively; the RSU is connected with the central cloud platform through a 4G network and a 5G network respectively. The RSU flexibly selects a network for transmitting data according to service requirements, so that the flexibility of the RSU for transmitting data can be greatly improved.

Based on the above technical solution, in the traffic data processing method provided by the embodiments of the present application, the RSU determines traffic data corresponding to each service, and uses different networks to transmit according to QoS requirements of the service. For the first service with higher QoS requirement, the RSU sends traffic data of the first service to the edge cloud platform through the 5G network. In this way, the RSU transmits traffic data of the first service through the low-latency and large-bandwidth characteristics of the 5G network and the characteristic that the deployed position of the edge cloud is generally closer to the RSU than the deployed position of the center cloud, so that the transmission latency of the first service is greatly reduced and the instantaneity of the first service is improved.

In combination with the technical solution shown in fig. 4, as shown in fig. 5, S101 in the embodiment of the present application may be specifically implemented as:

s1011, the RSU acquires initial traffic data reported by a terminal located in a target road section.

The terminal comprises at least one of vehicle-mounted equipment, wearable equipment and traffic management equipment; the traffic control device comprises: at least one of a traffic light and a monitoring device.

The initial traffic data includes: initial data reported by a vehicle terminal, initial data reported by a pedestrian terminal and initial data reported by traffic management equipment; the traffic control device comprises: camera supervisory equipment, radar monitoring equipment, signal lamp equipment, information tablet equipment.

The initial traffic data are initial data which are collected in real time by the vehicle terminal, the pedestrian terminal and the traffic management equipment and reported periodically.

The periods of reporting the initial traffic data by the vehicle terminal pedestrian terminal and the traffic management equipment can be the same or different.

An example, a vehicle terminal, a pedestrian terminal, a camera monitoring device, a radar monitoring device reports initial traffic data at a frequency of 10 HZ. The traffic signal lamp reports the initial traffic data at a frequency of 1 HZ. The information cards report the initial traffic data at a frequency of reporting once a day.

In a possible implementation manner, the vehicle terminal, the pedestrian terminal and the traffic management device may store the collected data in the form of a table after collecting corresponding initial traffic data in real time, which will be described below.

1. The vehicle terminal stores the collected vehicle information in the form of table 2.

TABLE 2

Data	Unit (B)
		Vehicle terminal ID
Vehicle category	General vehicle/special vehicle
		License plate number
Time	ms
		Location (longitude and latitude)	deg
Position (altitude)	m
		Steering angle of vehicle head	deg
Vehicle body size (Length and width)	m
		Speed of speed	m/s
Triaxial acceleration	m/s2
		Yaw rate	deg/s
Steering signal	Status of turn signal

The vehicle terminal identification card (Identity document, ID) in table 2 is fixed parameter information, and therefore, the information can be stored in the vehicle terminal in advance. The information of time, position (longitude and latitude), position (altitude), head direction angle, speed, triaxial acceleration, yaw rate, and steering signal in table 2 is real-time running state information of the vehicle. This information requires the vehicle terminal to collect it in real time.

2. The pedestrian terminal stores the collected pedestrian information in the form of table 3.

TABLE 3 Table 3

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The pedestrian terminal ID in table 3 is fixed parameter information, and the pedestrian characteristics (height, weight) are not generally changed, so that these information may be stored in the pedestrian terminal in advance. The time, position (longitude and latitude), position (altitude), direction angle, speed, triaxial acceleration, yaw rate information in table 3 are real-time walking information of pedestrians, and the pedestrians' terminals need to collect and store these information in real time.

3. The traffic management equipment specifically comprises: camera supervisory equipment, radar monitoring equipment, signal lamp equipment, information tablet equipment. These devices collect and store corresponding traffic information, respectively, as described below.

And 3.1, the camera monitoring equipment stores the acquired traffic information in the form of a table 4.

TABLE 4 Table 4

Data	Unit (B)
		Device ID
Time	ms
		Location (longitude and latitude)	deg
Position (altitude)	m
		Lu Kuan	m
Number of lanes
		Traffic flow
License plate of illegal traffic
		Type of violation

The device ID, position (latitude and longitude), position (altitude), road width, and number of lanes in table 4 are fixed parameter information, and generally do not change. Therefore, such information may be stored in the camera monitoring apparatus in advance. The time, traffic flow, license plate number of the violating traffic, and the type of violations are information of real-time changes, and the camera monitoring equipment needs to acquire and store the information in real time.

And 3.2, the radar monitoring equipment stores the acquired traffic information in the form of a table 5.

TABLE 5

Data	Unit (B)
		Radar ID
Time	ms
		Location (longitude and latitude)	deg
Position (altitude)	m
		Queuing vehicle start position
Queuing length	m
		Number of vehicles in line
Real-time average vehicle speed	m/s
		Lane occupancy rate

The radar ID, the position (latitude and longitude), and the position (altitude) in table 5 are fixed parameter information, and generally do not change. Thus, this information may be stored in advance in the radar monitoring device. The time, the starting position of the queuing vehicle, the queuing length, the number of queuing vehicles, the real-time average speed of the vehicle, the lane occupancy and the like in table 5 are information of real-time change, and the radar monitoring device needs to acquire and store the information in real time.

And 3.3, the signal lamp equipment stores the collected traffic information in the form of a table 6.

TABLE 6

Data	Unit (B)
		Signal lamp ID
Time	ms
		Location (longitude and latitude)	deg
Position (altitude)	m
		Current signal lamp phase
Phase timing	s

The signal lamp ID, position (latitude and longitude), and position (altitude) in table 6 are fixed parameter information, and generally do not change. Thus, this information can be stored in advance in the traffic light apparatus. The time, current signal lamp phase, phase timing in table 6 is information that changes in real time, and signal lamp equipment needs to acquire and store the information in real time.

3.4, the information card device stores the collected traffic information in the form of a table 7.

TABLE 7

Data	Unit (B)
		Information card ID
Time	ms
		Location (longitude and latitude)	deg
Position (altitude)	m
		Traffic sign

The information card ID in table 7 is fixed parameter information, and the position (latitude and longitude) and the position (altitude) are not changed in general. Thus, this information may be stored in advance in the information tablet device. At the time in table 7, the traffic sign is information that changes in real time, and the information tablet device needs to collect and store the information in real time.

It should be noted that, when the RSU transmits data with the vehicle terminal, the pedestrian terminal and the traffic control device, the RSU may transmit data in a wired transmission or wireless transmission manner, respectively. Further, the wired transmission has the advantages of large bandwidth and small transmission delay. Wireless transmission has the advantage of being able to transmit data for a mobile terminal. Therefore, the RSU can flexibly select a transmission mode according to the device configuration, the data size, the transmission delay requirement, and the like of the device. Wherein the wireless transmission includes: fifth Generation mobile communication (5 th-Generation, 5G)/LTE network transmission, mobile internet of vehicles (C-V2X) network transmission, and the like. Wired transmissions include fiber optic cable connection transmissions and the like.

For example, the RSU transmits data to the vehicle terminal, the pedestrian terminal, and other terminals whose position information is continuously changed by wireless transmission. RSU and camera supervisory equipment, radar monitoring equipment, signal lamp equipment, information tablet equipment adopt wired transmission's mode transmission data.

S1012, the RSU determines abnormal data in the acquired initial traffic data.

Wherein the anomaly data comprises at least one of the following: and in the initial traffic data, aperiodically reported data. In the initial traffic data, the data symbol is different from the data of the preset symbol. And in the initial traffic data, the vehicle speed is greater than the data of the preset vehicle speed value. In the initial traffic data, the data of the vehicle speed, the vehicle flow and the lane occupancy do not meet the preset corresponding relation.

In one possible implementation, the RSU determines abnormal data in the initial traffic data according to preset constraint conditions.

The constraint conditions include: time constraints, symbol constraints, speed constraints, and data constraints, respectively, are described below.

1. Time constraint

The time constraint condition is used for determining that the data which are not periodically reported in the initial traffic data are abnormal data.

In a possible implementation manner, the method for determining the abnormal data by the RSU according to the time constraint condition includes:

i, RSU confirms the time stamp of the initial traffic data reported in two consecutive cycles.

II, the RSU judges whether the time difference value of the time stamp of the initial traffic data reported in two continuous periods is equal to a preset time difference value.

And III, under the condition that the time difference value is not equal to the preset time difference value, the RSU determines that the initial traffic data reported in the next period is abnormal data in the initial traffic data reported in the two continuous periods.

For example, the RSU determines that the period for which the vehicle reported the initial traffic data is 0.1 seconds. For any one of the vehicle terminals in the target road section, the RSU acquires a time stamp T of the vehicle terminal in the initial traffic data reported in the ith period _i And the time stamp T of the vehicle terminal in the initial traffic data reported in the (i+1) th period _i+1 . RSU determines T _i+1 -T _i Whether or not the difference in (2) is equal to 0.1 seconds, at T _i+1 -T _i And under the condition that the difference value of the vehicle terminal is not equal to 0.1 second, the RSU determines that the initial traffic data reported by the vehicle terminal in the (i+1) th period is abnormal data.

2. Symbol constraint

The symbol constraint condition is used for determining that data with different data symbols from the preset symbols in the initial traffic data are abnormal data.

Traffic data symbols corresponding to various data are preset in the RSU, after the RSU determines initial traffic data, the RSU judges whether the data symbols of the various data in the initial traffic data are consistent with the preset data symbols, and if the data symbols are inconsistent with the preset data symbols, the RSU determines that the data are abnormal data.

For example, the RSU determines the speed of the vehicle reported by the vehicle terminal, and the data symbol of the data such as the number of lanes collected by the camera is positive. Thus, when the RSU receives vehicle speed data having a negative sign, or a lane number having a negative sign, the RSU may determine that the data is abnormal data.

3. Speed constraint

The speed constraint condition is used for determining that data with the speed greater than a preset speed value in the initial traffic data is abnormal data.

In road traffic, each road segment is provided with a corresponding speed limit value. When the vehicle is traveling at a speed exceeding the speed limit value, the vehicle is in an overspeed state. Typically, the vehicle speed does not exceed twice the road segment speed limit. Therefore, the RSU determines that the vehicle speed value of a certain vehicle of the target link exceeds twice the speed limit value of the target link, and the RSU determines that the vehicle speed data is abnormal data.

For example. In the case that the speed limit value of the target road section is 80km/h, the RSU determines that the vehicle speed data with the vehicle speed value greater than 160km/h is abnormal data.

4. Data constraints

The data constraint condition is used for determining that data which do not meet a preset corresponding relation among the vehicle speed, the vehicle flow and the lane occupancy in the initial traffic data is abnormal data.

In road traffic, there is a constraint relationship between the speed of a vehicle on a road, the flow rate of the vehicle, and the lane occupancy.

For example, if the traffic flow of a road segment is 0, then the road segment may be no vehicles passing through, or the road segment may be severely congested, and vehicles may not pass through. If the road section has no vehicles passing through, the lane occupancy of the road section is 0; if the road section is severely blocked and the vehicle cannot pass, the vehicle speed is 0. According to constraints between such data. The RSU may determine that the data of the vehicle flow=0, the vehicle speed > 0, and the lane occupancy > 0 is abnormal data.

S1013, the RSU processes the abnormal data in a preset mode, and takes all traffic data obtained after the processing as traffic data of a target road section. The preset means includes at least one of deletion and correction.

In a possible implementation manner, after the RSU determines the abnormal data, for any abnormal data, the RSU determines a plurality of data different from the date of the abnormal data but the other time characteristics are the same from the historical traffic data of the target road section. The RSU determines the average of these data and replaces the abnormal data with the average of these data.

Based on the technical scheme, the RSU determines the abnormal data in the initial traffic data through the preset constraint condition, and replaces the abnormal data by the average data of the time point in the historical data, so that the accuracy of the traffic data of the target road section determined by the RSU is greatly improved.

In one implementation manner of the embodiment of the present application, all traffic data obtained after processing includes at least one of video and pictures. As video and pictures occupy a larger bandwidth when transmitted. In order to reduce the bandwidth occupied by the data, for the video, the RSU extracts video feature data from the video. For a picture, the RSU extracts picture feature data from the picture. The RSU replaces videos in all traffic data obtained after processing with video feature data extracted from the videos, and the RSU replaces pictures in all traffic data obtained after processing with picture feature data extracted from the pictures to obtain traffic data of a target road section.

For example, the process of extracting video feature data from video in the RSU is: the RSU represents information of the video in the form of text or symbol, such as vehicle information data, pedestrian information data, traffic flow information data, etc. extracted from the video. In this way, the network resources occupied by the data can be greatly reduced.

The RSU may determine the picture feature data from the picture according to the same method.

In a possible implementation, after the RSU determines the video feature data and/or the picture feature data, the video feature data and/or the picture feature data and traffic data of other target road segments are stored in a table as shown in table 8.

TABLE 8

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It should be noted that S1013 is an optional step, and in a case where the video data and/or the picture data is not included in the traffic data of the target link, or feature extraction of the video data and/or the picture data is not required, the RSU may not execute S1013.

Whether the RSU needs to perform feature extraction on video data and/or picture data can be determined according to the service requirement. When the service requires the original data of the video data and/or the picture data, the RSU does not need to perform feature extraction on the video data and/or the picture data. When the service needs useful text or symbol data in video data and/or picture data, the RSU needs to perform feature extraction on the video data and/or picture data in order to reduce network resource consumption.

After this, the RSU may also convert video data in the traffic data of the target link into video feature data and/or convert picture data in the traffic data of the target link into picture feature data. Therefore, the RSU replaces video picture information occupying more network resources with text symbol information occupying less network resources, and the RSU sends traffic data to the central cloud platform through the 4G network or sends traffic data to the edge cloud through the 5G network, so that network resources occupied by the traffic data can be greatly reduced.

Based on the technical solution shown in fig. 4, as shown in fig. 6, after S104, the method for processing traffic data provided in the embodiment of the present application further includes:

s105, the edge cloud platform generates first traffic decision data according to traffic data of the first business.

The first traffic decision data is traffic decision data generated by the edge cloud according to traffic data of the first business and traffic decisions required by the first business.

For example, the first traffic is a driving assistance traffic. The traffic data of the first service is data such as the position of the vehicle, the running direction of the vehicle, the speed of the vehicle, the distance between the vehicle and the front vehicle, the speed of the front vehicle, the distance between the vehicle and the next traffic light, and the like.

The distance between the vehicle and the next traffic light intersection is 20m, the current speed of the vehicle is 30km/h, the traffic light is a green light, and the distance is changed into a red light and is 15S. The edge cloud platform determines that the vehicle can smoothly pass through the traffic light according to the information, and first traffic decision information generated by the edge cloud platform for the auxiliary driving service is: and keeping the current vehicle speed to normally pass through the traffic light.

S106, the edge cloud platform sends the first traffic decision data to the RSU. Accordingly, the RSU receives the first traffic decision data from the edge cloud platform.

And S107, the central cloud platform generates second traffic decision data according to the traffic data of the second service.

The implementation process of S107 is similar to S105, and will not be described here again.

S108, the central cloud platform sends second traffic decision data to the RSU. Correspondingly, the RSU receives second traffic decision data from the central cloud platform.

S109, the RSU generates first traffic broadcast data according to at least one of the first traffic decision data and the second traffic decision data.

Wherein the first traffic broadcast data is used to characterize traffic decisions for the target road segment.

Illustratively, in conjunction with the first traffic decision data information in S105, the RSU determines that the first traffic broadcast data is: and keeping the current vehicle speed to normally pass through the traffic light.

It should be noted that the first traffic broadcast data determined by the RSU may be first traffic broadcast data determined by the RSU in combination with the first traffic decision data and/or the second traffic decision data, where the traffic broadcast data may represent decision features of the first traffic decision data and may also represent decision features of the second traffic decision data.

S110, the RSU transmits the first traffic broadcast data to the terminal located in the target link.

In one possible implementation, the RSU broadcasts the first traffic broadcast data to the vehicle terminals and/or pedestrian terminals using a dedicated frequency band of 5905-5925 MHz, according to current relevant regulations. At this time, the transmission power of the RSU is about 24dbm.

In another possible implementation manner, the RSU stepwise reduces the broadcast power of the RSU according to the congestion condition of the road, so as to improve the timeliness of broadcasting data and avoid the waste of network resources.

Specifically, the RSU may determine the transmit power according to the average speed of the vehicle in the road and the speed limit value of the target road segment.

And under the condition that the average speed of the target road section is larger than the first preset speed, the RSU transmits first traffic broadcast data to the vehicle terminal of the target road section at the first preset power.

And under the condition that the average vehicle speed of the target road section is smaller than the first preset vehicle speed and larger than or equal to the second preset vehicle speed, the RSU transmits the first traffic broadcast data to the vehicle terminal of the target road section with the second preset power.

And under the condition that the average vehicle speed of the target road section is smaller than the second preset vehicle speed and larger than or equal to the third preset vehicle speed, the RSU transmits the first traffic broadcast data to the vehicle terminal of the target road section with the third preset power.

And under the condition that the average vehicle speed of the target road section is smaller than the third preset vehicle speed and larger than or equal to the fourth preset vehicle speed, the RSU transmits the first traffic broadcast data to the vehicle terminal of the target road section with the fourth preset power.

The first preset power is larger than the second preset power, the second preset power is larger than the third preset power, and the third preset power is larger than the fourth preset power.

The speed limit value of the target road section is akm/h; the average speed of the target link is bkm/h as an example.

In an example, in the case of 0.5 a.ltoreq.b < a, the RSU determines to transmit the first traffic broadcast data to the vehicle terminal with a transmission power of 24 dbm.

In the case when 0.1 a.ltoreq.b <0.5a, the RSU determines to transmit the first traffic broadcast data to the vehicle terminal with a transmission power of 20 dbm.

In case of b <0.1a, the RSU determines to transmit the first traffic broadcast data to the vehicle terminal with a transmission power of 18 dbm.

In yet another example, in the case that 0.5 a.ltoreq.b < a, the RSU transmits the first traffic broadcast data to the vehicle terminal with a transmission power X times the current transmission power.

In the case when 0.1 a.ltoreq.b <0.5a, the RSU transmits first traffic broadcast data to the vehicle terminal at a transmission power Y times the current transmission power.

In case of b <0.1a, the RSU transmits the first traffic broadcast data to the vehicle terminal with a transmission power Z times the current transmission power.

Wherein X, Y and Z are positive integers less than or equal to 1, and X is more than or equal to Y is more than or equal to Z.

Illustratively, x=1, y=0.8, and x=0.6. The values of X, Y, and Z may be determined according to the actual scene of the target road section, which is not limited in this application.

Based on the above technical scheme, in the traffic data processing method provided by the embodiment of the application, after the edge cloud platform and the center cloud platform make traffic decisions according to the service data, the traffic decision data are sent to the RSU, and the RSU collates the traffic decision data to generate broadcast data. The RSU broadcasts these broadcast data to the vehicle terminals and/or pedestrian terminals of the target road segment. In this way, the vehicle terminal and/or the pedestrian terminal can determine traffic decisions of the edge cloud platform and the center cloud platform, and assist vehicles and pedestrians to pass more scientifically and efficiently according to the traffic decisions.

The embodiment of the application may divide the functional modules or functional units of the RSU according to the above method examples, for example, each functional module or functional unit may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated modules may be implemented in hardware, or in software functional modules or functional units. The division of the modules or units in the embodiments of the present application is merely a logic function division, and other division manners may be implemented in practice.

Fig. 7 is a schematic structural diagram of an RSU according to an embodiment of the present application, where the apparatus includes: a processing unit 201 and a communication unit 202.

And a communication unit 202 for acquiring traffic data of the target link. Traffic data of the target road segment is used to characterize traffic conditions of the target road segment.

The processing unit 201 is configured to obtain traffic data of a first service and traffic data of a second service from the obtained traffic data. The first service and the second service are both pre-configured services in the RSU. The quality of service QoS requirement of the first service is higher than the QoS requirement of the second service.

The communication unit 202 is further configured to send traffic data of the first service to the edge cloud platform through the first network.

The communication unit 202 is further configured to send traffic data of the second service to the central cloud platform through the second network. The QoS of the first network is higher than the QoS of the second network.

Optionally, the communication unit 202 is further configured to obtain initial traffic data reported by a terminal located in the target road section, where the terminal includes at least one of a vehicle-mounted device, a wearable device, and a traffic management device. The traffic control device comprises: at least one of a traffic light and a monitoring device. The processing unit 201 is further configured to determine abnormal data in the acquired initial traffic data. The processing unit 201 is further configured to process the abnormal data in a preset manner, and take all traffic data obtained after the processing as traffic data of the target road section, where the preset manner includes at least one of deletion and correction.

Optionally, the traffic data of the target road segment includes at least one of picture feature data and video feature data. The picture feature data is feature data extracted by the processing unit 201 from pictures in all traffic data obtained after the processing. The video feature data is feature data extracted by the processing unit 201 from videos in all traffic data obtained after the processing.

Optionally, the anomaly data comprises at least one of the following: and in the initial traffic data, aperiodically reported data. In the initial traffic data, the data symbol is different from the data of the preset symbol. And in the initial traffic data, the vehicle speed is greater than the data of the preset vehicle speed value. In the initial traffic data, the data of the vehicle speed, the vehicle flow and the lane occupancy do not meet the preset corresponding relation.

Optionally, the communication unit 202 is further configured to obtain the first traffic decision data. The first traffic decision data are traffic decision data generated by the edge cloud platform according to traffic data of the first business. The communication unit 202 is further configured to obtain second traffic decision data. The second traffic decision data is traffic decision data generated by the central cloud platform according to traffic data of the second service. The processing unit 201 is further configured to generate first traffic broadcast data according to at least one of the first traffic decision data and the second traffic decision data. The first traffic broadcast data is used to characterize traffic decisions for the target road segment. The communication unit 202 is further configured to send the first traffic broadcast data to a terminal located in the target link.

Optionally, the processing unit 201 is further configured to determine an average speed of the vehicle of the target road segment. The communication unit 202 is further configured to send the first traffic broadcast data to the vehicle terminal of the target link with the first preset power, in a case where the average vehicle speed of the target link is greater than the first preset vehicle speed. And under the condition that the average speed of the target road section is smaller than the first preset speed and larger than or equal to the second preset speed, sending the first traffic broadcast data to the vehicle terminal of the target road section with the second preset power. And under the condition that the average speed of the target road section is smaller than the second preset speed and larger than or equal to the third preset speed, sending the first traffic broadcast data to the vehicle terminal of the target road section with the third preset power. And under the condition that the average speed of the target road section is smaller than the third preset speed and larger than or equal to the fourth preset speed, sending the first traffic broadcast data to the vehicle terminal of the target road section with fourth preset power. The first preset power is larger than the second preset power, the second preset power is larger than the third preset power, and the third preset power is larger than the fourth preset power.

Fig. 8 is a schematic structural diagram of a chip 170 according to an embodiment of the present application. Chip 170 includes one or more (including two) processors 1710 and communication interfaces 1730.

Optionally, the chip 170 further includes a memory 1740, the memory 1740 may include read-only memory and random access memory, and provides operating instructions and data to the processor 1710. A portion of memory 1740 may also include non-volatile random access memory (non-volatile random access memory, NVRAM).

In some implementations, memory 1740 stores the elements, execution modules or data structures, or a subset thereof, or an extended set thereof.

In the present embodiment, the corresponding operations are performed by invoking operational instructions stored in memory 1740 (which may be stored in the operating system).

Wherein the processor 1710 may implement or perform various exemplary logic blocks, units, and circuits described in connection with the present disclosure. The processor may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various exemplary logic blocks, units and circuits described in connection with this disclosure. The processor may also be a combination that performs the function of a computation, e.g., a combination comprising one or more microprocessors, a combination of a DSP and a microprocessor, etc.

Memory 1740 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, hard disk or solid state disk; the memory may also comprise a combination of the above types of memories.

Bus 1720 may be an extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus or the like. Bus 1720 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one line is shown in fig. 8, but not only one bus or one type of bus.

From the foregoing description of the embodiments, it will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of functional modules is illustrated, and in practical application, the above-described functional allocation may be implemented by different functional modules according to needs, i.e. the internal structure of the apparatus is divided into different functional modules to implement all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.

The present application provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method for processing traffic data in the method embodiments described above.

The embodiment of the application also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, and when the instructions run on a computer, the instructions cause the computer to execute the traffic data processing method in the method flow shown in the method embodiment.

The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access Memory (Random Access Memory, RAM), a Read-Only Memory (ROM), an erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), a register, a hard disk, an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing, or any other form of computer readable storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In the context of the present application, a computer-readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

Embodiments of the present invention provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform a method of processing traffic data as described in fig. 4 to 6.

Since the processing device, the computer readable storage medium, and the computer program product of the traffic data in the embodiments of the present invention can be applied to the above-mentioned method, the technical effects that can be obtained by the processing device, the computer readable storage medium, and the computer program product can also refer to the above-mentioned method embodiments, and the embodiments of the present invention are not described herein again.

In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interface, indirect coupling or communication connection of devices or units, electrical, mechanical, or other form.

The units described as separate units may or may not be physically separate, and units shown 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 units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit.

The foregoing is merely a specific embodiment of the present application, but the protection scope of the present application is not limited thereto, and any changes or substitutions within the technical scope of the present disclosure should be covered in the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. A method for processing traffic data, comprising:

the road side unit RSU acquires initial traffic data reported by a terminal positioned in a target road section;

the RSU determines abnormal data in the acquired initial traffic data according to preset constraint conditions; the preset conditions comprise any one of time constraint conditions, symbol constraint conditions, speed constraint conditions and data constraint conditions;

The RSU determines a plurality of data which are different from the abnormal data and have the same other time characteristics from the historical traffic data of the target road section, and determines the average value of the plurality of data which are different from the abnormal data and have the same other time characteristics;

the RSU replaces abnormal data in the initial traffic data by the average value to obtain traffic data of the target road section; the traffic data of the target road section is used for representing the traffic condition of the target road section;

the RSU classifies a plurality of services and determines a first service and a second service in the plurality of services; the first service and the second service are both pre-configured services in the RSU;

the RSU acquires traffic data of the first service and traffic data of the second service from the acquired traffic data; the quality of service, qoS, requirement of the first service is higher than the QoS requirement of the second service;

the RSU sends traffic data of the first service to an edge cloud platform through a first network; the RSU is connected with the edge cloud platform through the first network;

the RSU sends traffic data of the second service to a central cloud platform through a second network; the RSU is connected with the central cloud platform through the second network; the QoS of the first network is higher than the QoS of the second network.

2. A process according to claim 1, wherein,

the terminal comprises at least one of vehicle-mounted equipment, wearable equipment and traffic management equipment; the traffic control device includes: at least one of a traffic light and a monitoring device.

3. The processing method according to claim 2, wherein the traffic data of the target link includes at least one of picture feature data and video feature data;

the picture characteristic data are characteristic data extracted from pictures in all traffic data obtained after the RSU processes;

the video characteristic data are characteristic data extracted from videos in all traffic data obtained after the processing by the RSU.

4. A processing method according to claim 3, wherein the exception data comprises at least one of:

the initial traffic data is non-periodically reported data;

in the initial traffic data, data symbols are different from preset symbols;

in the initial traffic data, the vehicle speed is greater than the data of a preset vehicle speed value;

in the initial traffic data, the data of the vehicle speed, the vehicle flow and the lane occupancy do not meet the preset corresponding relation.

5. The processing method according to any one of claims 1 to 4, further comprising, after the RSU transmits traffic data of the first service to the edge cloud platform through the first network:

the RSU acquires first traffic decision data; the first traffic decision data are traffic decision data generated by the edge cloud platform according to the traffic data of the first service;

after the RSU sends traffic data of the second service to the central cloud platform through the second network, the RSU further includes:

the RSU acquires second traffic decision data; the second traffic decision data are traffic decision data generated by the central cloud platform according to the traffic data of the second service;

the RSU generates first traffic broadcast data according to at least one of the first traffic decision data and the second traffic decision data; the first traffic broadcast data is used for characterizing traffic decisions of the target road segment;

the RSU transmits the first traffic broadcast data to a terminal located in the target road segment.

6. The processing method of claim 5, wherein the RSU transmitting the first traffic broadcast data to a vehicle terminal of the target road segment, comprises:

The RSU determines the average speed of the vehicle of the target road section;

the RSU sends the first traffic broadcast data to a vehicle terminal of the target road section with first preset power under the condition that the average vehicle speed of the target road section is larger than a first preset vehicle speed;

when the average speed of the target road section is smaller than the first preset speed and larger than or equal to the second preset speed, the RSU sends the first traffic broadcast data to a vehicle terminal of the target road section with second preset power;

when the average speed of the target road section is smaller than the second preset speed and larger than or equal to a third preset speed, the RSU sends the first traffic broadcast data to a vehicle terminal of the target road section with third preset power;

when the average speed of the target road section is smaller than the third preset speed and larger than or equal to the fourth preset speed, the RSU sends the first traffic broadcast data to a vehicle terminal of the target road section with fourth preset power;

7. A traffic data processing apparatus, comprising: a communication unit and a processing unit;

the communication unit is used for acquiring initial traffic data reported by a terminal positioned in a target road section;

the processing unit is also used for determining abnormal data in the acquired initial traffic data according to preset constraint conditions; the preset conditions comprise any one of time constraint conditions, symbol constraint conditions, speed constraint conditions and data constraint conditions;

the processing unit is further configured to determine a plurality of data with different time characteristics and the same time characteristics as the abnormal data from the historical traffic data of the target road section, and determine an average value of the plurality of data with different time characteristics and the same time characteristics as the abnormal data;

the processing unit is further used for replacing abnormal data in the initial traffic data by the average value to obtain traffic data of the target road section; the traffic data of the target road section is used for representing the traffic condition of the target road section;

the processing unit is further used for classifying a plurality of services and determining a first service and a second service in the plurality of services; the first service and the second service are both pre-configured services in the processing device;

The processing unit is used for acquiring traffic data of the first service and traffic data of the second service from the acquired traffic data; the quality of service, qoS, requirement of the first service is higher than the QoS requirement of the second service;

the communication unit is further used for sending traffic data of the first service to an edge cloud platform through a first network; the processing device is connected with the edge cloud platform through the first network;

the communication unit is further used for sending traffic data of the second service to the central cloud platform through a second network; the processing device is connected with the central cloud platform through the second network; the QoS of the first network is higher than the QoS of the second network.

8. The processing apparatus of claim 7, wherein the terminal comprises at least one of an in-vehicle device, a wearable device, and a traffic management device; the traffic control device includes: at least one of a traffic light and a monitoring device.

9. The processing device of claim 8, wherein the traffic data of the target road segment includes at least one of picture feature data and video feature data;

The picture characteristic data are characteristic data extracted from pictures in all traffic data obtained after the processing by the processing unit;

the video characteristic data are characteristic data extracted by the processing unit from videos in all traffic data obtained after the processing.

10. The processing apparatus of claim 9, wherein the exception data comprises at least one of:

the initial traffic data is non-periodically reported data;

in the initial traffic data, data symbols are different from preset symbols;

11. A traffic data processing apparatus, comprising: a processor and a communication interface; the communication interface is coupled to the processor for running a computer program or instructions to implement a method of processing traffic data as claimed in any one of claims 1 to 6.

12. A computer-readable storage medium having instructions stored therein, characterized in that when executed by a computer, the computer performs the method of processing traffic data according to any one of the preceding claims 1-6.