CN113793188A - Occupancy rate calculation method and device, electronic equipment and readable storage medium - Google Patents
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Abstract
The application provides an occupancy rate calculation method, an occupancy rate calculation device, electronic equipment and a readable storage medium, which are applied to a target vehicle and comprise the following steps: receiving a current occupancy algorithm sent by a server; acquiring target vehicle running data of a target vehicle; processing the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle; and sending the target vehicle occupancy data to the server so that the server can calculate the occupancy rate of the lane where the target vehicle is located. This application calculates through the data of traveling that utilizes current occupation volume algorithm and vehicle to obtain the occupation data of more new, more accurate this vehicle, with confirm the occupation condition of target vehicle, simultaneously, after obtaining the occupation data of target vehicle, send the occupation data of this target vehicle for the server, the server carries out the occupation calculation according to these occupation data, with the occupation condition that obtains the lane, so that in time adjust, overall plan the vehicle in each lane, guarantee the good current of road.
Description
Technical Field
The application relates to the technical field of vehicle networking, in particular to an occupancy rate calculation method, an occupancy rate calculation device, electronic equipment and a readable storage medium.
Background
The lane occupancy rate is an important index for judging whether the road resources are fully utilized, and the lane occupancy rate mainly describes the proportion of the road quantity actually used by the vehicles in a specific time range of a specific area to the total road quantity in the area. At present, the calculation method of the lane occupancy rate still depends on the traditional detection coil, video detection and other schemes. However, the detection coil is mostly installed in an embedded manner, so that the installation and maintenance cost is high; the video detection is easily influenced by weather and external environment, and the detection stability is not strong. In addition, when the lane occupancy rate is calculated by means of detection coils and video detection, the target area is limited by the deployment range of equipment, the flexibility is poor, and the intelligent traffic management service is difficult to assist a traffic management department to complete.
Disclosure of Invention
In view of this, an object of the embodiments of the present application is to provide an occupancy rate calculation method, an occupancy rate calculation device, an electronic device, and a readable storage medium, so as to solve the problem that the current lane occupancy rate calculation is limited by a device deployment range and is poor in flexibility.
In a first aspect, an occupancy rate calculation method is provided in an embodiment of the present application, and is applied to a target vehicle, and includes: receiving a current occupancy algorithm sent by a server; acquiring target vehicle running data of the target vehicle; processing the target vehicle driving data through the current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle; and sending the target vehicle occupancy data to the server so that the server can calculate the occupancy rate of the lane where the target vehicle is located.
According to the method and the device, the latest occupancy algorithm can be obtained by receiving the current occupancy algorithm sent by the server in real time, meanwhile, the latest occupancy algorithm is combined with the driving data of the target vehicle, and the driving data of the target vehicle is real data of the driving of the target vehicle on the lane, so that the calculated occupancy data of the target vehicle is real and accurate, the data is sent to the server after the occupancy data of the target vehicle is obtained, the server can calculate the occupancy rate of the whole lane according to the data, and the occupancy data is real and accurate, so that the occupancy rate obtained according to the data is also very real and accurate, the real occupancy condition of the target lane can be obtained by calculating the occupancy rate, and data support is provided for the target vehicle to flexibly adjust the driving route.
With reference to the first aspect, an embodiment of the present application provides a first possible implementation manner of the first aspect, where: after obtaining the target vehicle occupancy data of the target vehicle, the method further comprises: anonymizing the target vehicle occupation data; the sending the target vehicle occupancy data to the server includes: and sending the anonymized target vehicle occupation data to the server.
According to the embodiment of the application, the obtained occupation data are anonymized, and then the target vehicle anonymization occupation data are sent to the server, so that the vehicle occupation data received by the server are anonymized, the privacy of vehicle information is guaranteed, meanwhile, the danger possibly caused by information leakage in the transmission process or after the vehicle occupation data are sent to the server is prevented, the safety of the information is guaranteed, the safety and the privacy of the information in the transmission and exchange processes can be enabled, and the confidence of a user can be enhanced.
With reference to the first possible implementation manner of the first aspect, an embodiment of the present application provides a second possible implementation manner of the first aspect, where: the occupancy data includes: charging data, said processing said target vehicle travel data by said current occupancy algorithm to obtain target vehicle occupancy data for said target vehicle, comprising: acquiring first target vehicle running data in target vehicle running data of the target vehicle, wherein the first target vehicle running data comprises: the running distance of the target vehicle, the running time of the target vehicle and the charging unit price; and calculating the first target vehicle driving data according to the current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle, wherein the current occupancy algorithm is a current charge occupancy algorithm.
According to the method and the device, the first target vehicle driving data used for calculating the charging data in the target vehicle driving data are obtained, the charging data are calculated by combining the current charging occupancy algorithm, the real-time cost generated when the target vehicle drives on the target driving road section can be obtained, the real-time cost obtained through the algorithm is more accurate at the current moment because the current charging occupancy algorithm is used for calculating the charging data, and in addition, the data depended on by the algorithm is the real driving data of the target vehicle, so that the obtained real-time cost data are more real.
With reference to the second possible implementation manner of the first aspect, an embodiment of the present application provides a third possible implementation manner of the first aspect, where the occupancy data includes: speed data, the processing the target vehicle travel data by the current occupancy algorithm to obtain target vehicle occupancy data for the target vehicle, comprising: acquiring second target vehicle running data in the target vehicle running data of the target vehicle, wherein the second target vehicle running data comprises: the coordinates of the target vehicle entering the target lane, the coordinates of the target vehicle exiting the target lane and the running time of the target vehicle in the target lane are obtained;
in a second aspect, an embodiment of the present application further provides an occupancy rate calculation method, which is applied to a server, and includes: sending a current occupancy algorithm to each vehicle, so that each vehicle can calculate each vehicle occupancy data by using the current occupancy algorithm; acquiring vehicle occupation data sent by a plurality of vehicles; and determining the occupancy rate of a target lane according to the vehicle occupancy data sent by the plurality of vehicles.
According to the method and the device, the current occupancy algorithm is sent to the vehicles, so that the occupancy algorithm obtained by the vehicles is a real-time algorithm, the occupancy data obtained by the real-time algorithm are also real-time data, the server obtains the vehicle occupancy data of the multiple vehicles, and calculates and determines the occupancy rate of the target lane according to the vehicle occupancy data of the multiple vehicles.
In combination with the second aspect, the present embodiments provide a first possible implementation manner of the second aspect, where: the vehicle occupancy data sent by the plurality of vehicles includes: the method for determining the target lane occupancy rate according to the vehicle occupancy data sent by the plurality of vehicles comprises the following steps: inquiring vehicle running tracks sent by the plurality of vehicles; determining the number of vehicles of the vehicle running track in the target lane at a set moment; and determining the lane occupancy rate of the target lane according to the number of the vehicles.
According to the method and the device for determining the occupancy rate of the target lane, the vehicles with the running tracks in the target lane at the set moment are determined according to the running tracks of the vehicles sent by the plurality of vehicles, so that the number of the vehicles in the target lane is determined, and the running tracks of the vehicles are real running data of the vehicles, so that the data of the number of the vehicles determined according to the running tracks are more accurate, and the occupancy rate of the target lane is determined according to the number of the vehicles.
With reference to the first possible implementation manner of the second aspect, in an embodiment of the present application, after determining a target lane occupancy rate according to vehicle occupancy data sent by the multiple vehicles, the method further includes: judging whether the target lane occupancy rate is within a preset range; and if the target lane occupancy rate does not belong to the preset range, updating the current occupancy rate algorithm according to a set algorithm.
According to the embodiment of the application, the occupancy rate of the target lane is set within a certain range, and the current occupancy rate algorithm is updated under the condition that the occupancy rate exceeds the range, so that the current occupancy rate algorithm can be associated with the occupancy rate of the lane, different occupancy rate algorithms are used according to different occupancy rates, and the obtained occupancy rate is more suitable for the actual situation and more accurate.
With reference to the second possible implementation manner of the second aspect, in an embodiment of the present application, there is provided a third possible implementation manner of the second aspect, where the current occupancy algorithm is a current toll occupancy algorithm, and after the target lane occupancy is determined according to vehicle occupancy data sent by the multiple vehicles, the method further includes: judging whether the target lane occupancy rate is within a preset range, wherein the target lane occupancy rate is the ratio of the total length of a plurality of vehicles of the target lane to the total length of the target lane at a set moment; and if the target lane occupancy rate at the set moment exceeds a preset range, updating the current occupancy rate algorithm according to a set algorithm, wherein the set algorithm is different charging coefficients under different occupancy conditions.
According to the embodiment of the application, the current charge occupancy algorithm is related to the ratio of the total length of the vehicles and the lane in the target lane, the ratio of the total length of the vehicles and the lane in the target lane can reflect the congestion degree of the target lane, the occupancy rate exceeds the preset range, namely the target lane is congested, and the current charge occupancy algorithm is updated for the congested road section, so that different charges are charged under different traffic states of unblocked and congested states, the balance between experience feeling and the charges is balanced, and the charging system is more intelligent.
In a third aspect, an occupancy rate calculation apparatus applied to a target vehicle includes: a receiving module: the algorithm is used for receiving the current occupancy amount sent by the server; an acquisition module: the target vehicle driving data is used for acquiring the target vehicle driving data; a processing module: the target vehicle driving data are processed through the current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle; a first sending module: and the system is used for sending the target vehicle occupancy data to the server so as to enable the server to calculate the occupancy rate of the lane where the target vehicle is located.
In a fourth aspect, an embodiment of the present application further provides an occupancy rate calculation apparatus, which is applied to a server, and includes: a second sending module: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring data of vehicle occupancy data; a second obtaining module: the vehicle occupancy data acquisition system is used for acquiring vehicle occupancy data sent by a plurality of vehicles; an analysis module: and the method is used for determining the target lane occupancy rate according to the vehicle occupancy data sent by the plurality of vehicles.
In a fifth aspect, an embodiment of the present application further provides an electronic device, including: a processor, a memory storing machine-readable instructions executable by the processor, the machine-readable instructions when executed by the processor performing the steps of the method of the first aspect, the second aspect, any of the possible implementations of the first aspect, or any of the possible implementations of the second aspect as described above when the electronic device is run.
In a sixth aspect, this application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to perform the steps of the method in the first aspect, the second aspect, any possible implementation manner of the first aspect, or any possible implementation manner of the second aspect.
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.
Fig. 1 is a schematic diagram of a system for interaction between a server and a vehicle according to an embodiment of the present disclosure.
Fig. 2 is a schematic diagram of setting of roadside equipment for interaction between a server and a vehicle according to an embodiment of the present application.
Fig. 3 is a schematic block diagram illustrating an occupancy calculation method provided in an embodiment of the present application.
Fig. 4 is a flowchart of an occupancy rate calculation method according to an embodiment of the present application.
Fig. 5 is a flowchart of another occupancy rate calculation method according to an embodiment of the present application.
Fig. 6 is a flowchart of an occupancy rate calculation method according to an embodiment of the present application.
Fig. 7 is a schematic diagram of functional modules of an occupancy rate calculation apparatus according to an embodiment of the present application.
Fig. 8 is a schematic functional block diagram of another occupancy rate calculation apparatus according to an embodiment of the present application.
Detailed Description
The technical solution in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
At present, the car networking technology can help a vehicle to establish communication and data interaction with various devices such as the vehicle, road side devices and a management system, high-precision statistics is carried out on the lane occupancy rate of a highway by means of the car networking technology, more reliable and efficient data support can be provided for an intelligent traffic management system, and the car networking technology can be widely applied to various scenes such as highway charging, service area timing and traffic flow real-time management.
Meanwhile, with the wide coverage of cellular networks and the gradual maturity of intelligent networked vehicle technologies, it is necessary to research and form a method for calculating the lane occupancy rate of a highway based on the vehicle networking technology to assist a traffic management department in completing intelligent traffic management services.
Based on the above problems, embodiments of the present application provide an occupancy rate calculation method, an occupancy rate calculation apparatus, an electronic device, and a readable storage medium. The method comprises the steps of calculating occupation data of a vehicle by using a current occupation algorithm according to running data of the vehicle, sending the occupation data to a server for service calculation of the data to obtain an actual occupation condition of a lane, setting a corresponding occupation algorithm according to the actual occupation condition of the lane by the server to ensure that the corresponding algorithm is used under different conditions, and updating the data in real time to improve the accuracy and real-time performance of the occupation ratio so as to facilitate a traffic management department to complete intelligent traffic management service.
Example one
To facilitate understanding of the present embodiment, first, an electronic device executing an occupancy rate calculation method disclosed in the embodiments of the present application will be described in detail.
As shown in fig. 1, a system diagram of a server interacting with a vehicle is provided in an embodiment of the present application. The server 130 is communicatively coupled to one or more roadside devices 120 over a network for data communication or interaction. The roadside apparatus 120 establishes a data connection with one or more target vehicles 110 through a communication network. The target vehicle 110 may include, but is not limited to: a sensor 111, a storage device 112, a control unit 113, a communication module 114, a display unit 115. The sensor 111 may include a speed sensor, a positioning sensor, an infrared sensor, a gravity sensor, and the like, and the sensor 111 is used to collect the running information of the target vehicle 110 itself. The storage device 112 may include: an optical disc, a usb disk, a mobile hard disk, etc., and the storage device 112 may be used to store the driving information collected by the sensor 111. The control unit 113 may be an integrated circuit chip with signal processing capabilities. The control Unit 113 may also be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The communication module 114 is provided with a vehicular wireless communication technology for communicating with the drive test equipment 120, the server 130 or other vehicles. The display unit 115 may provide an interactive interface (e.g., a user interface) between the target vehicle 110 and the user or may be used to display image data for reference by the user. In this embodiment, the display unit may be a liquid crystal display or a touch display. In the case of a touch display, the display can be a capacitive touch screen or a resistive touch screen, which supports single-point and multi-point touch operations. The support of single-point and multi-point touch operations means that the touch display can sense touch operations simultaneously generated from one or more positions on the touch display, and the sensed touch operations are sent to the processor for calculation and processing.
Optionally, as shown in fig. 2, fig. 2 is a schematic diagram of setting a roadside device where a server interacts with a vehicle according to an embodiment of the present application. The roadside apparatus 120 may be disposed at an entrance and an exit of the target lane.
Optionally, the server 130 is connected to one or more roadside devices 120 via a network, and the communication connection may be a dedicated short-range communication technology, a bluetooth connection, a cellular connection, an ethernet connection, or the like.
Optionally, the roadside device 120 establishes a data connection with one or more target vehicles 110 over a communication network, the data connection may be a dedicated short-range communication technology, a bluetooth connection, a cellular connection, an ethernet connection, and the like.
Alternatively, the server 130 may be a web server, a database server, or the like. The target vehicle 110 includes, but is not limited to, a sedan, a mid-size sedan, a minitruck, a mid-size truck, a large truck, a mid-size bus, a large bus, and the like.
Alternatively, as shown in fig. 3, the server 130 may include: may include a memory 131, a memory controller 132, a processor 133. It will be understood by those of ordinary skill in the art that the configuration shown in fig. 3 is merely exemplary and is not intended to limit the configuration of the server 130. For example, server 130 may also include more or fewer components than shown in FIG. 3, or have a different configuration than shown in FIG. 3.
The memory 131, the memory controller 132, and the processor 133 are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The processor 133 described above is used to execute executable modules stored in memory.
The Memory 131 may be, but is not limited to, a Random Access Memory (RAM), a Read Only Memory (ROM), a Programmable Read-Only Memory (PROM), an Erasable Read-Only Memory (EPROM), an electrically Erasable Read-Only Memory (EEPROM), and the like. The memory 131 is used for storing a program, and the processor 133 executes the program after receiving an execution instruction.
The processor 133 may be an integrated circuit chip having signal processing capabilities. The Processor 133 may be a general-purpose Processor, and includes a Central Processing Unit (CPU), a Network Processor (NP), and the like; the Integrated Circuit may also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, or a discrete hardware component. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The electronic device in this embodiment may be configured to perform each step in each method provided in this embodiment. The implementation process of an occupancy calculation method is described in detail below by several embodiments.
Example two
Please refer to fig. 4, which is a flowchart of an occupancy rate calculation method according to an embodiment of the present application. The occupancy calculation method in the present embodiment may be applied to a vehicle. The specific flow shown in fig. 4 will be described in detail below.
Wherein the current occupancy algorithm may include: the method comprises the steps of a current charging occupancy algorithm, a current speed occupancy algorithm, a current time occupancy algorithm and a current area occupancy algorithm, wherein the calculation modes corresponding to different types of the current occupancy algorithms are different.
Optionally, the current occupancy algorithm may be sent directly to the target vehicle by the server, and the current occupancy algorithm may also be sent to the target vehicle by the road side device.
In step 202, target vehicle travel data of a target vehicle is acquired.
Wherein the target vehicle travel data may include: the driving distance of the target vehicle, the driving time of the target vehicle, the position coordinate information of the target vehicle, the number of drivers, the type of the vehicle, the weight of the vehicle, the road weather condition and the like.
Alternatively, the target vehicle travel data of the target vehicle may be acquired at preset time periods. The preset time period is high-frequency acquisition with an interval period not exceeding 1 second, and the preset time period can be interval 0.2 seconds, interval 0.4 seconds, interval 0.6 seconds, interval 1 second and the like.
Alternatively, after the target vehicle travel data of the target vehicle is acquired, the target vehicle travel data may be stored, where the storage form may be a sequential table form.
Optionally, after the target vehicle driving data of the target vehicle is acquired, anonymization processing may be performed on the target vehicle driving data, and the anonymized target vehicle driving data may be transmitted to the roadside device, which may process the anonymized target vehicle driving data and transmit the processed target vehicle driving data to the server. The anonymous target vehicle driving data can also comprise a unique identification code, a driving time sequence, a position coordinate information sequence and the like of the target vehicle.
Optionally, after the target vehicle driving data of the target vehicle is acquired, the target vehicle driving data may be anonymized to form an anonymous target vehicle driving data packet, and the anonymous target vehicle driving data packet is transmitted to the roadside device, and the roadside device may process the anonymous target vehicle driving data and transmit the anonymous target vehicle driving data to the server. The anonymous target vehicle driving data can also comprise a unique identification code, a driving time sequence, a position coordinate information sequence and the like of the target vehicle.
Alternatively, the roadside device may process the anonymous target vehicle travel data may include: the roadside device adds a roadside device identification code to the anonymous target vehicle running data, adds anonymous target vehicle running data receiving time to the anonymous target vehicle running data, and packages the anonymous target vehicle running data to form an anonymous target vehicle running data packet and the like.
And step 203, processing the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle.
The target vehicle occupancy data may include target vehicle driving data and a target vehicle occupancy amount.
Alternatively, processing the target vehicle travel data by the current occupancy algorithm may include: and selecting the running data suitable for the calculation method according to the calculation method of the current occupancy algorithm, and calculating the occupancy of the target vehicle according to the running data suitable for the calculation mode. Wherein, the occupancy can be charging occupancy, time occupancy, speed occupancy, area occupancy and the like.
And step 204, sending the target vehicle occupancy data to a server so that the server can calculate the occupancy rate of the lane where the target vehicle is located.
Alternatively, the target vehicle may directly transmit the target vehicle occupancy data to the server, and the target vehicle may further transmit the target vehicle occupancy data to the server through the road side device.
Optionally, after step 203, the occupancy calculation method further includes: anonymizing the target vehicle occupation data; and sending the anonymized target vehicle occupation data to a server.
Optionally, the anonymized target vehicle occupancy data may include the target vehicle occupancy amount and the travel data, and the anonymized target vehicle occupancy data may also include only the target vehicle occupancy amount. In addition, the anonymized target vehicle occupancy data may further include a unique identification code, a travel time sequence, a position coordinate information sequence, and the like of the target vehicle.
For example, if the travel data has been processed anonymously and transmitted to the server before step 203, the anonymized target vehicle occupancy data only needs to include the target vehicle occupancy amount. If the travel data is not anonymized but transmitted to the server before step 203, the anonymized target vehicle occupancy data only needs to include the target vehicle occupancy amount. If the driving data is not anonymized and is not sent to the server before step 203, the anonymized target vehicle occupancy data includes the target vehicle occupancy amount and the driving data.
Optionally, after anonymizing the target vehicle occupancy data, an anonymized target vehicle occupancy data packet may be formed, and the anonymized target vehicle occupancy data packet is directly sent to the server or sent to the server through the road side device.
According to the technical scheme, real-time vehicle running data are collected by the target vehicle, and calculation is performed according to the current occupancy algorithm, so that the occupancy analysis of the target vehicle can be realized, and occupancy data can be obtained, wherein the current occupancy algorithm has different types, the calculation can be performed according to the requirement of the target vehicle by adopting the corresponding current occupancy algorithm, and the analysis of the occupancy of the target vehicle under various conditions can be realized. Meanwhile, after the driving data are obtained or after the occupancy data are obtained, the occupancy data are sent to the server for the server to carry out occupancy rate calculation, the occupancy rate calculated by the server can be associated with the driving state of the target vehicle, and the obtained occupancy rate is more suitable for the actual situation and is more real and accurate.
On the basis of the above embodiment, the occupancy data includes: charging data, speed data, area data, etc. Correspondingly, the current occupancy algorithm comprises the following steps: a current charge occupancy algorithm, a current speed occupancy algorithm, a current area occupancy algorithm, and the like.
Optionally, when the occupancy data is charging data, processing the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle includes: acquiring first target vehicle running data in target vehicle running data of a target vehicle; and calculating the first target vehicle driving data according to a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle.
Wherein the first target vehicle travel data includes: the target vehicle running distance, the target vehicle running time length, the charging unit price and the like. The current occupancy algorithm is a current charged occupancy algorithm.
Illustratively, if in the highway toll system, the current occupancy algorithm is a current toll occupancy algorithm, wherein the current toll occupancy algorithm is Lomc＝αDc+βTc. Then, processing the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle comprises: acquiring time t when a target vehicle drives into an entrance of a highway0And position coordinates (x)0，y0，z0) Then, the current time t of the target vehicle is obtainedcPosition coordinates (x)c，yc，zc). Calculating the total travel distance generated by the target vehicle at the current moment according to the position coordinates at the entrance and the position coordinates at the current moment:
calculating the running time according to the entrance time and the current time:
Tc＝tc-t0，
the real-time fee generated by the target vehicle from the time of entering the entrance of the expressway to the current moment is as follows:
Lomc＝αDc+βTc，
wherein, LomcThe real-time fee D generated from the time of driving into the entrance of the expressway to the current time of the target vehiclecA distance unit price and a duration unit price for the total travel distance generated at the current time of the target vehicle, and TcFor the length of travel, (x)0，y0，z0) Position coordinates (x) of the target vehicle when entering the entrance of the expresswayc，yc，zc) Is the position coordinate, t, of the target vehicle at the current moment0Time t when the target vehicle enters the entrance of the expresswaycThe current time of the target vehicle.
Wherein the target vehicle occupancy data comprises: the real-time fee of the target vehicle from the time of entering the entrance of the expressway to the current moment, the total travel distance generated at the current moment of the target vehicle, the distance unit price, the duration unit price, the travel duration, the position coordinate of the target vehicle when entering the entrance of the expressway, the position coordinate of the target vehicle at the current moment, the time of the target vehicle entering the entrance of the expressway, and the like.
Optionally, when the occupancy data is speed data, processing the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle includes: acquiring second target vehicle running data in the target vehicle running data of the target vehicle; and calculating the second target vehicle driving data according to a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle.
Wherein the second target vehicle travel data includes: target vehicle entering target lane coordinates, target vehicle exiting target lane coordinates, target vehicle travel time in the target lane, and the like. The current occupancy algorithm is a current speed occupancy algorithm.
Illustratively, if in a highway, the current occupancy algorithm is a current speed occupancy algorithm, wherein the current speed is the current speed occupancy algorithmThe occupancy algorithm is
Then, processing the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle comprises: acquiring time t when a target vehicle drives into an entrance of a highway0And position coordinates (x)0，y0，z0) Then, the current time t of the target vehicle is obtainedcPosition coordinates (x)c，yc，zc). Calculating the total travel distance generated by the target vehicle at the current moment according to the position coordinates at the entrance and the position coordinates at the current moment:
calculating the running time according to the entrance time and the current time:
Tc＝tc-t0，
the current running speed of the target vehicle is:
wherein, VcThe current running speed D of the target vehiclecTotal distance traveled, T, for the target vehicle at the present timecFor the length of travel, (x)0，y0，z0) Position coordinates (x) of the target vehicle when entering the entrance of the expresswayc，yc，zc) Is the position coordinate, t, of the target vehicle at the current moment0Time t when the target vehicle enters the entrance of the expresswaycThe current time of the target vehicle.
Wherein the target vehicle occupancy data comprises: the running speed of the target vehicle at the current moment, the total running distance generated by the target vehicle at the current moment, the running time, the position coordinate of the target vehicle when entering the entrance of the expressway, the position coordinate of the target vehicle at the current moment, the time when the target vehicle enters the entrance of the expressway and the like.
Optionally, when the occupancy data is area data, processing the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle includes: acquiring third target vehicle running data in the target vehicle running data of the target vehicle; and calculating the third target vehicle driving data according to the current occupancy algorithm to obtain the target vehicle occupancy data of the target vehicle.
Wherein the third data comprises: and the current occupancy algorithm is a current area occupancy algorithm.
Illustratively, if in a highway, the current occupancy algorithm is a current area occupancy algorithm, wherein the current area occupancy algorithm is
Then, processing the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle comprises: obtaining a vehicle area S of a target vehicle1Then according to the total area S of the target lane0Calculating the current occupancy:
wherein S is the ratio of the area of the target vehicle to the area of the target lane, S1Vehicle area, S, for a target vehicle0Is the total area of the target lane.
Wherein the target vehicle occupancy data comprises: the vehicle area of the target vehicle, the ratio of the target vehicle area to the target lane area, and the like.
EXAMPLE III
Please refer to fig. 5, which is a flowchart of an occupancy rate calculation method according to an embodiment of the present application. The method in the present embodiment is similar to the occupancy calculation method provided in the second embodiment, and is different in that the occupancy calculation method in the second embodiment is applied to a vehicle, and the occupancy calculation method provided in the present embodiment is applied to a server. The specific flow shown in fig. 5 will be described in detail below.
Alternatively, the server may directly send the current occupancy algorithm to each vehicle, or the server may send the current occupancy algorithm to each vehicle through the roadside device.
Optionally, the current occupancy algorithm may include: the method comprises the steps of a current charging occupancy algorithm, a current speed occupancy algorithm, a current time occupancy algorithm, a current area occupancy algorithm and the like, wherein different current occupancy algorithms have different calculation modes.
Alternatively, the server may directly acquire vehicle occupancy data sent by a plurality of vehicles from each vehicle, or the server may acquire vehicle occupancy data sent by a plurality of vehicles through the road side device.
Optionally, the vehicle occupancy data is directly in the form of a plurality of data, or may be in the form of a data packet, and the vehicle occupancy data may also be in the form of anonymous occupancy data or anonymous occupancy data packet.
Optionally, the vehicle occupancy data may include: the system comprises a target vehicle running distance, a target vehicle running time, target vehicle position coordinate information, the number of drivers and passengers, vehicle types, vehicle weights, road weather conditions, vehicle unique identification numbers, vehicle occupancy and the like.
Optionally, the occupancy of the target lane may include: charging occupancy, speed occupancy, time occupancy, area occupancy, and the like.
On the basis of the above embodiment, the vehicle occupancy data transmitted by the plurality of vehicles includes: determining the target lane occupancy rate according to the vehicle occupancy data sent by the plurality of vehicles according to the vehicle running tracks sent by the plurality of vehicles, wherein the method comprises the following steps: inquiring vehicle running tracks sent by the plurality of vehicles; determining the number of vehicles of the vehicle running track in the target lane at a set moment; and determining the lane occupancy rate of the target lane according to the number of the vehicles.
Exemplarily, if the target time server receives a plurality of vehicle occupancy data, screening a plurality of vehicle tracks in the plurality of vehicle occupancy data, determining a vehicle track at the target time and on the same road section, determining the number of vehicles at the target time and on the same road section according to the vehicle track, respectively determining the length of each vehicle according to the identification number of the vehicle, and finally determining the lane occupancy of the target lane according to the number of vehicles and the length of each vehicle:
wherein R istThe lane occupancy rate of the current road section at the moment t, N the number of vehicles in the current road section, (x)R1，yR1，zR1) As position coordinates of the entrance of the highway, (x)R2，yR2，zR2) Position coordinates of an exit of the highway, L is the length of the current road section, and L isiThe vehicle length of the ith vehicle, i is a natural number.
Optionally, after step 303, the method further comprises: judging whether the target lane occupancy rate is within a preset range; and if the target lane occupancy rate does not belong to the preset range, updating the current occupancy rate algorithm according to a set algorithm.
On the basis of the above embodiment, after step 303, the occupancy calculation method further includes: judging whether the target lane occupancy rate is within a preset range or not; and if the target lane occupancy rate does not belong to the preset range, updating the current occupancy rate algorithm according to a set algorithm.
Optionally, if the current occupancy algorithm is a current charge occupancy algorithm, after the target lane occupancy is determined according to vehicle occupancy data sent by a plurality of vehicles, the occupancy calculation method further includes:
and judging whether the target lane occupancy rate belongs to a preset range, and if the target lane occupancy rate at the set moment exceeds the preset range, updating the current occupancy rate algorithm according to the set algorithm.
The target lane occupancy rate is the ratio of the total length of the vehicles in the target lane to the total length of the target lane at the set moment. The setting algorithm is different charging coefficients under different occupation conditions.
Illustratively, in the expressway, the normal driving speed range of the expressway is 80 km/h-120 km/h, and 100km/h is set as a standard driving speed value. The safe driving distance between the vehicles is 100m, and the number of the driving vehicles on the target road section under the standard condition is as follows:
then, the standard lane occupancy is:
wherein N isSThe number n of running vehicles of the target road section under the standard conditionlaneNumber of lanes, LsIs the total length of the target lane, LiVehicle length, R, for the ith vehiclesIs the standard lane occupancy, i is a natural number.
Comparison of RtAnd RsSetting Rt＞1.2RsIf the current lane occupancy rate is higher, the occupancy updating algorithm is as follows: lomc＝0.8(αDc+βTc) (ii) a If 0.8Rs＜Rt＜1.2RsThe current occupancy algorithm remains unchanged.
Example four
The present embodiment provides an occupancy rate calculation method, which is similar to the occupancy rate calculation methods provided in the second and third embodiments, except that the occupancy rate calculation method in the second embodiment is applied to a vehicle, the occupancy rate calculation method provided in the third embodiment is applied to a server, and the occupancy rate calculation method provided in the present embodiment is written based on interaction between the vehicle and the server. As shown in fig. 6, the occupancy calculation method in the present embodiment includes the following.
The target vehicle acquires driving data of the target vehicle through a sensor in the driving process, processes the driving data and sends the processed driving data to the road side equipment, meanwhile, the occupancy amount is calculated according to the received occupancy amount algorithm sent by the road side equipment to obtain the occupancy data, and then the occupancy data is sent to the road side equipment. And the road side equipment processes the received driving data and occupation data from the target vehicle and sends the processed driving data and occupation data to the server. The server stores the received occupation data, and meanwhile, the server can also calculate the occupancy rate according to the received driving data from the road side equipment to judge the lane occupancy rate. In addition, the server can also update the current occupancy algorithm according to the occupancy data or the occupancy rate, and send the current occupancy algorithm to the target vehicle through the road side equipment.
EXAMPLE five
Based on the same application concept, an occupancy calculation device corresponding to the occupancy calculation method is further provided in the embodiment of the present application, and is applied to a target vehicle.
Please refer to fig. 7, which is a schematic diagram of functional modules of an occupancy rate calculation apparatus according to an embodiment of the present application. The occupancy calculation device in the present embodiment may be applied to a vehicle. Each module in the occupancy calculation apparatus in the present embodiment is configured to execute each step in the above-described method embodiment. The occupancy rate calculation device comprises a receiving module 401, an obtaining module 402, a processing module 403 and a first sending module 404; wherein the content of the first and second substances,
a receiving module 401, configured to receive a current occupancy amount algorithm sent by a server.
An obtaining module 402 is configured to obtain target vehicle driving data of a target vehicle.
And the processing module 403 is configured to process the target vehicle driving data through a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle.
The first sending module 404 is configured to send the target vehicle occupancy data to the server, so that the server calculates the occupancy rate of the lane where the target vehicle is located.
In a possible implementation, the processing module 403 is further configured to: anonymizing the target vehicle occupation data; and sending the anonymized target vehicle occupation data to the server.
In a possible implementation, the processing module 403 is specifically configured to: acquiring first target vehicle travel data among target vehicle travel data of a target vehicle, the first target vehicle travel data including: the running distance of the target vehicle, the running time of the target vehicle and the charging unit price; and calculating the first target vehicle driving data according to a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle, wherein the current occupancy algorithm is a current charge occupancy algorithm.
In a possible implementation, the processing module 403 is further specifically configured to: acquiring second target vehicle travel data among the target vehicle travel data of the target vehicle, the second target vehicle travel data including: the coordinates of the target vehicle entering the target lane, the coordinates of the target vehicle exiting the target lane and the running time of the target vehicle in the target lane are obtained; and calculating the second target vehicle driving data according to a current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle, wherein the current occupancy algorithm is a current speed occupancy algorithm.
EXAMPLE six
Based on the same application concept, another occupancy rate calculation device corresponding to the occupancy rate calculation method is further provided in the embodiment of the present application, and is applied to the server.
Please refer to fig. 8, which is a schematic diagram of functional modules of an occupancy rate calculation apparatus according to an embodiment of the present application. The method in this embodiment is similar to the occupancy calculation apparatus provided in the fifth embodiment, except that the occupancy calculation apparatus in the second embodiment is applied to a vehicle, and the occupancy calculation apparatus provided in this embodiment is applied to a server. Each module in the occupancy calculation apparatus in the present embodiment is configured to execute each step in the above-described method embodiment. The occupancy rate calculation device comprises a second sending module 501, a second obtaining module 502 and an analysis module 503; wherein the content of the first and second substances,
a second sending module 501, configured to send a current occupancy algorithm to each vehicle, so that each vehicle can calculate occupancy data of each vehicle by using the current occupancy algorithm.
The second obtaining module 502 is configured to obtain vehicle occupancy data sent by a plurality of vehicles.
And the analysis module 503 is configured to determine the target lane occupancy rate according to the vehicle occupancy data sent by the multiple vehicles.
In a possible implementation, the analysis module 503 is further configured to: inquiring vehicle running tracks sent by the plurality of vehicles; determining the number of vehicles of the vehicle running track in the target lane at a set moment; and determining the lane occupancy rate of the target lane according to the number of the vehicles.
In one possible implementation, the occupancy calculation means further includes: the updating module is used for judging whether the target lane occupancy rate belongs to a preset range or not; and if the target lane occupancy rate does not belong to the preset range, updating the current occupancy rate algorithm according to a set algorithm.
In a possible implementation manner, the update module is specifically configured to: judging whether the target lane occupancy rate is within a preset range, wherein the target lane occupancy rate is the ratio of the total length of a plurality of vehicles of the target lane to the total length of the target lane at a set moment; and if the target lane occupancy rate at the set moment exceeds a preset range, updating the current occupancy rate algorithm according to a set algorithm, wherein the set algorithm is different charging coefficients under different occupancy conditions.
Furthermore, an embodiment of the present application further provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the computer program performs the steps of the occupancy rate calculation method described in the above method embodiment.
The computer program product of the occupancy rate calculation method provided in the embodiment of the present application includes a computer-readable storage medium storing a program code, where instructions included in the program code may be used to execute the steps of the occupancy rate calculation method described in the above method embodiment, which may be specifically referred to in the above method embodiment, and are not described herein again.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application or portions thereof that substantially contribute to the prior art may be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes. It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application. It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (11)
1. An occupancy calculation method applied to a target vehicle, comprising:
receiving a current occupancy algorithm sent by a server;
acquiring target vehicle running data of the target vehicle;
processing the target vehicle driving data through the current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle;
and sending the target vehicle occupancy data to the server so that the server can calculate the occupancy rate of the lane where the target vehicle is located.
2. The method of claim 1, wherein after obtaining the target vehicle occupancy data for the target vehicle, the method further comprises:
anonymizing the target vehicle occupation data;
the sending the target vehicle occupancy data to the server includes:
and sending the anonymized target vehicle occupation data to the server.
3. The method of claim 1, wherein the occupancy data comprises: charging data, said processing said target vehicle travel data by said current occupancy algorithm to obtain target vehicle occupancy data for said target vehicle, comprising:
acquiring first target vehicle running data in target vehicle running data of the target vehicle, wherein the first target vehicle running data comprises: the running distance of the target vehicle, the running time of the target vehicle and the charging unit price;
and calculating the first target vehicle driving data according to the current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle, wherein the current occupancy algorithm is a current charge occupancy algorithm.
4. An occupancy rate calculation method applied to a server includes:
sending a current occupancy algorithm to each vehicle, so that each vehicle can calculate each vehicle occupancy data by using the current occupancy algorithm;
acquiring vehicle occupation data sent by a plurality of vehicles;
and determining the occupancy rate of a target lane according to the vehicle occupancy data sent by the plurality of vehicles.
5. The method of claim 4, wherein the vehicle occupancy data transmitted by the plurality of vehicles comprises: the method for determining the target lane occupancy rate according to the vehicle occupancy data sent by the plurality of vehicles comprises the following steps:
inquiring vehicle running tracks sent by the plurality of vehicles;
determining the number of vehicles of the vehicle running track in the target lane at a set moment;
and determining the lane occupancy rate of the target lane according to the number of the vehicles.
6. The method of claim 4, wherein after determining a target lane occupancy based on vehicle occupancy data sent by the plurality of vehicles, the method further comprises:
judging whether the target lane occupancy rate is within a preset range;
and if the target lane occupancy rate does not belong to the preset range, updating the current occupancy rate algorithm according to a set algorithm.
7. The method of claim 6, wherein the current occupancy algorithm is a current toll occupancy algorithm, and wherein after determining the target lane occupancy from vehicle occupancy data sent by the plurality of vehicles, the method further comprises:
judging whether the target lane occupancy rate is within a preset range, wherein the target lane occupancy rate is the ratio of the total length of a plurality of vehicles of the target lane to the total length of the target lane at a set moment;
and if the target lane occupancy rate at the set moment exceeds a preset range, updating the current occupancy rate algorithm according to a set algorithm, wherein the set algorithm is different charging coefficients under different occupancy conditions.
8. An occupancy calculation device, applied to a target vehicle, comprising:
a receiving module: the algorithm is used for receiving the current occupancy amount sent by the server;
an acquisition module: the target vehicle driving data is used for acquiring the target vehicle driving data;
a processing module: the target vehicle driving data are processed through the current occupancy algorithm to obtain target vehicle occupancy data of the target vehicle;
a first sending module: and the system is used for sending the target vehicle occupancy data to the server so as to enable the server to calculate the occupancy rate of the lane where the target vehicle is located.
9. An occupancy rate calculation device, applied to a server, includes:
a second sending module: the system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is used for acquiring data of vehicle occupancy data;
a second obtaining module: the vehicle occupancy data acquisition system is used for acquiring vehicle occupancy data sent by a plurality of vehicles;
an analysis module: and the method is used for determining the target lane occupancy rate according to the vehicle occupancy data sent by the plurality of vehicles.
10. An electronic device, comprising: a processor, a memory storing machine-readable instructions executable by the processor, the machine-readable instructions when executed by the processor performing the steps of the method of any of claims 1 to 7 when the electronic device is run.
11. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, is adapted to carry out the steps of the method according to any one of claims 1 to 8.
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