CN111417093B

CN111417093B - Vehicle-based standard performance test method and device for V2X efficiency class application

Info

Publication number: CN111417093B
Application number: CN202010377871.0A
Authority: CN
Inventors: 吴超; 陈新海; 祖晖; 王博思; 张迪思; 陈灏
Original assignee: China Merchants Testing Vehicle Technology Research Institute Co Ltd
Current assignee: China Merchants Testing Vehicle Technology Research Institute Co Ltd
Priority date: 2020-05-07
Filing date: 2020-05-07
Publication date: 2023-06-16
Anticipated expiration: 2040-05-07
Also published as: CN111417093A

Abstract

The application relates to a vehicle-based standard performance test method and device for V2X efficiency type application, wherein the vehicle-based scale performance test method for V2X efficiency type application comprises the following steps: simulating a preset efficiency test scene around the tested vehicle through a preset device; the vehicle to be tested is provided with a V2X efficiency type application module; acquiring response data of the tested vehicle under the efficiency test scene; and judging the efficiency change of the tested vehicle based on the reaction data, and determining the performance of the tested vehicle V2X efficiency class application based on the efficiency change. The vehicle-based scale performance testing device for the V2X efficiency type application comprises: the system comprises a controller, a background node and a data acquisition module; the controller, the background node and the data acquisition module are connected through communication; the controller includes: scene simulation module and test evaluation module: the controller, the background node and the data acquisition module are used for executing the vehicle-based standard performance test method of the V2X efficiency class application.

Description

Vehicle-based standard performance test method and device for V2X efficiency class application

Technical Field

The application relates to the field of intelligent networking automobiles, in particular to a vehicle-based standard performance test method for V2X efficiency class application.

Background

With the development of society and the progress of technology, the technology of the internet of things of vehicles is continuously developed, and the V2X efficiency type application is gradually applied to vehicles.

The V2X efficiency application is to install a special communication terminal on a vehicle, can realize data interaction with other vehicles, roads, pedestrians and clouds, pre-judge dangers through the data interaction, react in advance, ensure safe, stable and efficient running service of the vehicle, and specifically comprises V2V (Vehicle To Vehicle vehicle-to-vehicle connection), V2I (Vehicle To Infrastructure vehicle-to-infrastructure connection), V2P (Vehicle To Pedestrian vehicle-to-pedestrian connection) and V2N (Vehicle To Network vehicle-to-network connection). The special communication terminal has high requirement (less than 10 ms) on communication delay mainly, and supports direct connection between devices. One of the currently mainstream technologies is DSRC (Dedicated Short Range Communications, dedicated short-range communication), and the other is LTE-V2X (V2X based on cellular mobile communication).

However, whether the V2X efficiency class application is effective and how its performance needs to be further evaluated.

Disclosure of Invention

In order to overcome the problems in the related art to at least a certain extent, the application provides a vehicle-based specification performance test method and device for V2X efficiency class application.

Based on a first aspect of the present application, a vehicle-based scale performance test method for V2X efficiency class applications is provided, including:

simulating a preset efficiency test scene around the tested vehicle through a preset device; the vehicle to be tested is provided with a V2X efficiency type application module;

acquiring response data of the tested vehicle under the efficiency test scene;

and judging the efficiency change of the tested vehicle based on the reaction data, and determining the performance of the tested vehicle V2X efficiency class application based on the efficiency change.

Optionally, the preset efficiency test scenario includes: 2. signal lamp-based speed guidance, traffic light control dynamic programming, emergency vehicle signal priority, high priority vehicle let-off, cooperative fleet, cooperative auto cruise control, in-vehicle signage, front congestion notification, enhanced route guidance and navigation, dedicated road management, restricted traffic management, dynamic tidal lane travel.

Optionally, the preset device includes: a controller and a background node;

the controller is used for controlling the background node to simulate communication nodes around the tested vehicle in a preset efficiency test scene and sending signals to the tested vehicle.

Optionally, the preset device further comprises a step of moving the tested vehicle;

the node controller and the background node are arranged on the mobile tested vehicle.

Optionally, the simulating, by a preset device, a preset efficiency test scenario around the tested vehicle includes:

determining a preset efficiency test scenario;

determining an initial position relation and a relative motion relation between a tested vehicle and a background node based on a preset efficiency test scene;

setting the type of interference environment required by the V2X efficiency class application; wherein the interference environment type includes: a high interference environment, a medium interference environment, and a low interference environment;

and configuring a dynamic model of a background node according to the application characteristics of the efficiency class, sending a signal to the tested vehicle, and simulating a preset efficiency test scene.

Optionally, the background nodes include dynamics model nodes and simplified model nodes;

wherein, the dynamics model node is: in an actual application scene of a tested vehicle, surrounding background nodes closely related to the tested vehicle directly participate in V2X efficiency class application processing;

the simplified model nodes are background nodes which are not closely related to the detected vehicle, and the surroundings of the simplified model nodes do not directly participate in V2X efficiency class application processing in the actual application scene of the detected vehicle.

And in the dynamic model for configuring the background node according to the efficiency class application characteristics, only the dynamic model of the dynamic model node is required to be configured.

Optionally, the background node comprises a vehicle-mounted node and a road side node;

the vehicle-mounted node is as follows: a background node arranged on the mobile vehicle to be tested;

the road side node is as follows: background nodes arranged on the side of the road.

Optionally, a V2X efficiency class application module and a data acquisition module are arranged on the tested vehicle;

the V2X efficiency class application module is used for receiving signals sent by the background node and determining the response of the vehicle based on the signals;

the data acquisition module is used for acquiring the response data of the tested vehicle and feeding back the response data to the controller of the preset device.

Optionally, determining the change of the driving efficiency of the tested vehicle based on the response data, and determining the performance of the application of the V2X efficiency class of the tested vehicle based on the change of the efficiency, including:

aiming at the time and the data receiving and transmitting rate of data receiving and transmitting between a device and a tested vehicle in the whole business processing process, evaluating the communication transmission delay and the packet loss rate;

evaluating processing time delay, processing success rate and error processing rate aiming at the processing result of the V2X efficiency class application module;

and (5) integrating the evaluation to obtain the performance of the vehicle V2X efficiency class application.

Based on a second aspect of the present application, there is provided a vehicle-based scale performance test apparatus for V2X efficiency class applications, comprising: the system comprises a controller, a background node and a data acquisition module;

the controller, the background node and the data acquisition module are connected through communication;

the controller includes: scene simulation module and test evaluation module:

the data acquisition module is arranged on the tested vehicle and used for acquiring data of the tested vehicle;

the scene simulation module of the controller controls the background node and simulates the efficiency test scene in a preset area;

the tested vehicle is internally provided with a V2X efficiency application for testing in the preset area;

and the test evaluation module of the controller is used for acquiring the data and evaluating the performance of the V2X efficiency class application based on the data.

The technical scheme provided by the embodiment of the application can comprise the following beneficial effects:

in the technical scheme provided by the embodiment of the application, a preset efficiency test scene is simulated around a tested vehicle through a preset device; the vehicle to be tested is provided with a V2X efficiency type application module; acquiring response data of the tested vehicle under the efficiency test scene; and judging the running efficiency change of the tested vehicle based on the response data, and determining the performance of the tested vehicle V2X efficiency type application based on the efficiency change. Thus, a real and large-scale environment background is built for vehicle performance test, and an intelligent modified road is simulated for field test. The scene and the test node dynamics model are defined through the configuration of the preset device, the real node is controlled to simulate real vehicle data and V2X background environment data in real time, real and large amounts of test background vehicle behavior data can be provided for the vehicle and road efficiency application test, and further the performance of the V2X efficiency application is tested.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the application and together with the description, serve to explain the principles of the application.

FIG. 1 is a flow chart of a vehicle-based canonical performance test method for V2X efficiency class applications provided in an embodiment of the present application;

FIG. 2 is a vehicle-based canonical performance test device framework for V2X efficiency class applications provided in embodiments of the present application;

FIG. 3 is a flowchart of a method for testing vehicle-based performance of a V2X efficiency class application according to an embodiment of the present application;

fig. 4 is a schematic diagram of a front traffic jam reminding scenario in a vehicle-based standard performance test of V2X efficiency class application according to an embodiment of the present application;

FIG. 5 is a schematic diagram of a correlation radius in a vehicle-based canonical performance test of a V2X efficiency class application provided in an embodiment of the present application;

fig. 6 is a schematic diagram of an associated vehicle and a non-associated vehicle in a vehicle-based performance test for V2X efficiency class applications according to an embodiment of the present application.

Detailed Description

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present application as detailed in the accompanying claims.

The invention provides a V2X scale test method based on vehicle-mounted facilities and equipment, which solves the problems that when the current V2X efficiency application scene test is performed, the performance test can not be performed by aiming at basic application function test, the performance test can not be performed by accurately establishing a real and large-scale environment background vehicle, and the field test can not be performed on an intelligently modified road. According to the invention, aiming at the V2X efficiency application characteristics, a scene and a test node dynamics model are defined based on vehicle-mounted facilities and equipment configuration, real node real-time simulation of real vehicle data and V2X background environment data is controlled, and real and large amount of test background vehicle behavior data can be provided for vehicle and road efficiency application tests.

It should be noted that: V2X (Vehicle to Everything) is a special communication terminal installed on a vehicle, and can realize data interaction service with other vehicles, roads, pedestrians and clouds, and specifically comprises V2V (Vehicle To Vehicle vehicle-to-vehicle connection), V2I (Vehicle To Infrastructure vehicle-to-infrastructure connection), V2P (Vehicle To Pedestrian vehicle-to-pedestrian connection) and V2N (Vehicle To Network vehicle-to-network connection). The special communication terminal has high requirement (less than 10 ms) on communication delay mainly, and supports direct connection between devices. One of the currently mainstream technologies is DSRC (Dedicated Short Range Communications, dedicated short-range communication), and the other is LTE-V2X (V2X based on cellular mobile communication).

Functional test: the method is mainly used for performing basic function verification aiming at typical efficiency application realized based on V2X communication, and testing whether the function is finished with early warning and prompting functions.

The four types of functions are introduced as follows: (1) V2V indicates that direct communication can be carried out between the vehicles and the following vehicles, the vehicles are used as a mobile communication terminal and have the capability of receiving and sending basic data of the vehicle bodies, for example, when a rear vehicle is near to a front vehicle and is in danger of collision on a road surface, if the two vehicles have the capability of V2X communication, the rear vehicle can receive the basic data of the vehicle bodies such as the speed, the course angle and the light state of the vehicle bodies of the front vehicles, then carry out algorithm analysis by combining the driving data of the rear vehicle, judge whether the collision is dangerous, and remind a driver of the danger of collision of the front vehicle if the collision is dangerous.

(2) V2I represents communication with the surrounding infrastructure. For example, when the traffic light and the RSU (road side unit) at the crossroad are communicated, the information of the traffic light can not be seen in case of heavy fog, and when the traffic light is communicated with the vehicle, the real-time information of the current traffic light is obtained, and the traffic light information is displayed on a vehicle-mounted large screen, so that whether the traffic light passes through the crossroad can be judged.

(3) V2P indicates that car and pedestrian also can communicate, mainly through wearable equipment, cell-phone, the mode such as computer on the personnel, and the car is with people and is communicated and mainly also reduce the danger that car is with people's collision, for example when people cross the road, still other vehicles separate between the car is with people and have blocked the sight, have caused the blind area, and the vehicle then can judge through the communication with the people that the blind area has the pedestrian to drive into, carries out the blind area early warning immediately to the driver.

(4) V2N represents that vehicles communicate with edge clouds, so that in urban roads, accidents are most likely to occur at crossroads, and the reason for the high probability is that vehicles in different road directions cannot sense whether vehicles drive on the road surfaces in other directions, and thus two vehicles in blind areas can cause the accidents under the condition that the crossroads are not decelerated. If a building is arranged between the two vehicles for blocking, the edge cloud can receive the basic data of the vehicle bodies of the two vehicles through the road side equipment, then the operation is carried out, the result is issued to the vehicles through the road side equipment, and if the collision danger of the vehicles is caused, the early warning is carried out on the driver.

Performance test: based on functional test, a large number of real background communication nodes are defined according to the requirements of application scenes, the communication environment and main vehicle motion data (position, speed, direction, acceleration and the like) in the application implementation process are simulated, and the expressive ability of the V2X efficiency class application in working under different communication backgrounds is tested.

V2X efficiency class application: the method mainly refers to that other vehicles, road side facilities, pedestrians send self state information, early warning information and other information to the vehicles in a V2V/V2I/V2P mode and the like, the vehicles make decisions according to application algorithms, and the vehicles control speed, steering and the like, so that the running efficiency of the vehicles is improved, and the time required by running the vehicles is reduced. For example, when the road condition in front is blocked, the action path can be changed in advance, so that a blocked road section is avoided, and the effect of improving the efficiency is achieved. When the medical vehicle fire-fighting vehicle and the like are required to give off pedestrians, the self-route is planned preferentially, avoidance is carried out in advance, and the situation that a proper route cannot be found in time when emergency giving off is avoided, so that the efficiency is improved.

Examples

Fig. 1 is a flowchart of a vehicle-based specification performance testing method for V2X efficiency class applications according to an embodiment of the present application. As shown in fig. 1, the method of the present embodiment includes the steps of:

s11, simulating a preset efficiency test scene around a tested vehicle through a preset device; the vehicle to be tested is provided with a V2X efficiency type application module;

s12, acquiring reaction data of the tested vehicle under the efficiency test scene;

s13, judging the efficiency change of the tested vehicle based on the response data, and determining the performance of the tested vehicle V2X efficiency class application based on the efficiency change.

Specifically, the efficiency change specifically refers to: the improvement of efficiency is brought about by the V2X efficiency class application providing reference data to the vehicle for change. It should be noted that, before the test provided in the present application, the vehicle is tested first for efficiency without the assistance of the V2X efficiency class application module, facing the same efficiency test scenario.

For example, when the road condition in front is blocked, the action path can be changed in advance, so that a blocked road section is avoided, and the effect of improving the efficiency is achieved. When the medical vehicle fire-fighting vehicle and the like are required to give off pedestrians, the self-route is planned preferentially, avoidance is carried out in advance, and a proper route cannot be found timely when emergency giving off is avoided, so that the efficiency is improved.

In the technical scheme provided by the embodiment of the application, a real and large-scale environment background is built for vehicle performance test, and an intelligent modified road is simulated for field test. The scene and the test node dynamics model are defined through the configuration of the preset device, the real node is controlled to simulate real vehicle data and V2X background environment data in real time, real and large amounts of test background vehicle behavior data can be provided for the vehicle and road efficiency application test, and further the performance of the V2X efficiency application is tested.

Fig. 2 is a vehicle-based specification performance testing system framework for V2X efficiency class applications according to an embodiment of the present application. As shown in fig. 3, the apparatus of this embodiment includes:

the scene simulation module 31, the V2X communication test bed (namely, a system consisting of a background node and a controller in the application), the test vehicle data acquisition module 2 and the test evaluation module. The scene simulation module 31 is responsible for defining a test scene, configuring test vehicle parameters, configuring a test background vehicle and a node mapping relation of the V2X communication test bed. The V2X communication test bed is responsible for converting the test node requirements configured by the scene simulation module 31 into node communication and service control instructions and distributing the node communication and service control instructions to each node controller 34, and it should be noted that the controllers include: the integrated controller 33 and the node controller 34, the integrated controller 33 is responsible for the operation and generation of the control strategy of the whole test system. The node controller 34 is responsible for specifically controlling the interaction of data in the actual environment of the node simulation. The test vehicle data acquisition module 2 is responsible for acquiring dynamic data (position, speed, direction, acceleration and the like) of the tested vehicle 1 and feeding back to the scene simulation module 31, and the scene simulator dynamically adjusts test background vehicle data according to the tested vehicle 1 data. The scene simulation module 31, the test evaluation module and the V2X communication test bed are mounted on a working vehicle and are powered by the power system of the vehicle. The further controller further comprises: the scene simulation module and the test evaluation module.

Fig. 3 is a flowchart of a vehicle-based specification performance testing method for V2X efficiency class applications according to another embodiment of the present application. Fig. 4 is a schematic diagram of a vehicle-based specification performance test system for V2X efficiency class application according to an embodiment of the present application. Referring to fig. 3 and 4, in combination with the scenario of front traffic jam reminding, the vehicle-based standard performance test method for V2X efficiency class application provided in the present application is described: the vehicle-based standard performance test method for the V2X efficiency class application comprises the following steps:

s301, testing preparation, checking a V2X system and installing a data acquisition module;

it should be noted that, checking the V2X system specifically refers to: it is checked whether the V2X efficiency class application module on the vehicle 1 under test can function normally. The data acquisition module 2 is installed to acquire data of the vehicle 1 under test.

S302, starting a V2X system, and waiting for a background node to trigger an application;

it should be noted that starting the V2X system refers to starting the V2X efficiency class application module on the vehicle 1 under test.

Specifically, taking a situation of front traffic jam reminding as an example:

the specific scene of the front traffic jam reminding is as follows: traffic jam occurs in front of the running of the detected vehicle (HV), a Road Side Unit (RSU) sends the jam road section information to the detected vehicle, and TJW application reminds the driver of the detected vehicle. The application is suitable for the early warning of the congestion road sections of common roads and highways in cities and suburbs.

Specifically, in step 302, waiting for the background node 35 to trigger an application refers to: the road side unit (background node) sends the congestion road section information to the tested vehicle, and then the V2X efficiency class application module reminds the driver of the host vehicle. The application is suitable for the early warning of the congestion road sections of common roads and highways in cities and suburbs. Furthermore, when the front is congested, the V2X efficiency class application module can remind the driver of the congestion of the road section in front, so that the driver can reasonably formulate a driving route and the road passing efficiency is improved.

Specific possible scenarios are as follows:

front congestion prompting exemplary scene (as in fig. 4)

Vehicles approach corresponding road side devices from a distance, and the road side devices periodically broadcast local road congestion data.

And the vehicle-mounted V2X efficiency application module calculates the position of the vehicle in the road network according to the information and combining the positioning and running states of the vehicle. And judging whether the front is congested, and if so, giving a front congestion prompt to a driver.

The basic working principle of the V2X efficiency class application module in the scene of front traffic jam reminding is as follows:

and the vehicle judges the position and operation of the vehicle in the road network according to the received road data and the positioning and operation data of the vehicle.

And judging whether traffic jam exists on the road in front of the vehicle. If so, the driver can be directly reminded.

Communication mode:

the method comprises the steps of directly detecting congestion information or congestion road section information in an ITS system by using road side equipment with short-range wireless communication capability.

Basic performance requirements include: 1. measured vehicle speed range: 0-130km/h; 2. the communication distance is more than or equal to 300m; 3. the data updating frequency is less than or equal to 10Hz; 4. the system delay is less than or equal to 100ms; 5. the positioning precision is less than or equal to 1.5m.

S303, the data acquisition module acquires the data (position, speed, direction, acceleration and the like) of the tested vehicle.

S304, configuring a scene.

It should be noted that, the configuration scenario includes: determining application types, measured nodes, associated nodes, interference node relations, interference environment types and associated dynamics models. And meanwhile, deploying the nodes:

specifically, referring to fig. 4, the test system of the present invention is based on a normal car (mobile test car), where a scene simulation module 31, a controller, and a test evaluation module 32 are disposed, and a data acquisition module 2 is disposed on a vehicle under test 1. While there are two deployment modes for node controller 34 and background node 35:

(1) In small-scale test, the node controller 34 and the background node 35 can be deployed on a mobile test vehicle, and the integrated controller 33 is connected with the node controller 34 through a wire (Ethernet or serial port) for management;

(2) In large-scale testing, the node controllers 34 and the background nodes 35 can be deployed on the test field/road, and the integrated controller 33 centrally controls each node controller 34 through wireless (5G).

The network connection mode of each module of the test system comprises wired connection (optical fiber, shielding twisted pair and the like) and wireless connection (V2X and 5G). The scene simulation module 31 and the controllers are connected in a wired mode such as an optical fiber mode, a shielding twisted pair mode and the like, the comprehensive controller 33 and the node controller 34 are connected in a network cable or 5G mode, the node controller 34 and the background node 35 are connected in a network cable mode, the background node 35 and the detected node are connected in a V2X and 5G mode, and the data acquisition module 2 and the comprehensive controller 33 are connected in a V2X and 5G mode.

Specifically, the step S304 of configuring the scene includes:

a) Selecting an application type, and setting initial position relations (initial distance, speed and acceleration) of a detected node, an associated node and an interference node and relative motion relations (relative distance, relative speed and relative acceleration) between the associated node and the detected node;

b) Setting the types of interference environments required by V2X application, including a high interference environment, a medium interference environment and a low interference environment, wherein the interference level is set by the density of the surrounding interference nodes of the tested vehicle 1;

c) And configuring a node dynamics model according to the efficiency class application characteristics. And setting the measured node, the associated node and the vehicle dynamics model of the interference node in the association radius range of the measured node as a simplified vehicle dynamics model.

Referring to fig. 5, the associated node refers to a node that completes an efficiency class application scenario together with a node under test in the efficiency application scenario, and includes a vehicle-mounted node or a road side node. In the V2V-class efficiency application, the associated node is a vehicle-mounted node, and in the V2I-class efficiency application, the associated node is a road side node.

Referring to fig. 6, the association radius refers to a circle radius formed by nodes in front of and behind the detected node or in adjacent lanes during the running process of the detected node, and can be set in advance according to practical application or can be dynamically adjusted according to the running speed of the detected node.

It is to be noted that; in the situation of front traffic jam reminding, the built background is mainly used for simulating vehicles on a road, and specific reference is made to related expressions in the text.

S305, the controller receives the issued service logic data and the tested node data, and distributes the background node type and the service association relation to the node controller according to the communication density, the interference level and the service logic, and dynamically adjusts the association node dynamics model.

Specifically, in step S305: the integrated controller 33 receives the service logic data configured in the scene simulation module 31, sets the following:

a) According to the initial position relation and the relative motion relation required by the service logic, a background node 35 is designated to a node controller 34 as an associated node, basic communication parameters such as the transmission power of a communication module, the data transmission frequency and the like are set, and the service data are adjusted in real time by the controller according to the motion data of the tested vehicle 1;

b) According to the requirements of communication density and interference level, the background node 35 is designated as an interference node to the node controller 34, and the interference background is manufactured by setting the transmitting power of the communication module and the data transmitting frequency to preempt the communication channel resources.

c) And dynamically adjusting the related vehicles of the tested vehicle 1 to be dynamics model nodes according to the association radius.

S306, judging whether the controller command received by the node controller 34 includes the subordinate node of the node controller 34:

if so, step S307 is performed, otherwise the node controller 34 continues to wait for receipt of a controller command.

S307, the node controller allocates background nodes as interference nodes and service nodes according to the communication density and the interference level;

specifically, the node controller 34 adjusts the transmitting power and the data transmitting frequency of each node according to the communication density and the interference level for the interference node; aiming at the associated node, the node transmitting power is adjusted according to the communication distance required by the service instruction, and the service instruction content is transmitted according to the designated frequency. And realizing the data interaction between the interference node and the association node and the actual tested vehicle 1V2X module. At the same time, the node controller 34 returns a backup of the data record of the business interaction process to the controller for test evaluation analysis. The data of the service interaction process comprises V2X data transmitted by the actual tested vehicle 1, V2X data transmitted by the associated node and V2X data transmitted by the interference node, wherein all the data contain time stamps of a unified time reference.

It should be noted that, in a specific implementation process, the steps are as follows: 303. 305, 306, 307 are alternately performed until the test is completed.

S308, test evaluation

Specifically, the test evaluation includes: communication performance evaluation and business performance evaluation;

the communication performance was evaluated as follows: evaluating performances such as communication transmission delay and packet loss rate according to data transceiving time and data transceiving rate in the whole business processing flow; the service performance evaluation is to evaluate the performance such as service processing time delay, service processing success rate, error processing rate and the like aiming at the data and the processing result of service logic processing in the service processing process. The service performance evaluation includes: and judging the efficiency change of the tested vehicle based on the reaction data, and determining the performance of the tested vehicle V2X efficiency class application based on the efficiency change.

The scheme provided by the application has the following advantages: 1. the flexible and scale configuration of the V2X background nodes 35 by the scene simulation module 31 (i.e., the preset device); 2. aiming at the efficiency class application characteristics, dynamic model nodes of the background nodes 35 are realized, and dynamic model node configuration is simplified; 3. the scene simulation module 31, the V2X communication test bed and the test vehicle data acquisition module 2 form a closed loop to realize automatic test; 4. the test system is erected in a vehicle-mounted mode, so that deployment and test can be flexibly carried out on an actual road.

It is to be understood that the same or similar parts in the above embodiments may be referred to each other, and that in some embodiments, the same or similar parts in other embodiments may be referred to.

It should be noted that in the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Furthermore, in the description of the present application, unless otherwise indicated, the meaning of "plurality" means at least two.

Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.

It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.

Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.

The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like.

In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims

1. The vehicle-based scale performance test method for the V2X efficiency type application is characterized by comprising the following steps of:

simulating a preset efficiency test scene around the tested vehicle through a preset device;

the simulation of the preset efficiency test scene around the tested vehicle through the preset device comprises the following steps:

determining a preset efficiency test scenario;

according to the application characteristics of the efficiency class, configuring dynamic information and position information of a background node, sending signals to the tested vehicle, and simulating a preset efficiency test scene;

the vehicle to be tested is provided with a V2X efficiency type application module; the tested vehicle tests in a preset efficiency test scene and generates response data based on surrounding test environments;

acquiring response data of the tested vehicle under the efficiency test scene;

judging the running efficiency change of the tested vehicle based on the reaction data, and determining the performance of the V2X efficiency type application of the tested vehicle based on the efficiency change;

the preset device comprises: a controller and a background node;

the controller is used for controlling the background node to simulate communication nodes around the tested vehicle in a preset efficiency test scene and sending signals to the tested vehicle;

the background node comprises a vehicle-mounted node and a road side node;

the road side node is as follows: background nodes arranged on the side edges of the roads;

the preset efficiency test scenario includes: signal lamp-based speed guidance, traffic light control dynamic programming, emergency vehicle signal priority, high priority vehicle let-off, cooperative fleet, cooperative auto cruise control, in-vehicle signage, front congestion notification, enhanced route guidance and navigation, dedicated road management, restricted traffic management, dynamic tidal lane travel.

2. The method of claim 1, wherein the pre-set means further comprises moving the vehicle under test;

3. The method of claim 2, wherein the background nodes comprise a dynamics model node and a reduced model node;

4. The method of claim 1, wherein a V2X efficiency class application module and a data acquisition module are provided on the vehicle under test;

5. The method of claim 1, wherein said determining the vehicle under test driving efficiency change based on the reaction data and determining the performance of the vehicle under test V2X efficiency class application based on the efficiency change comprises:

6. A vehicle-based performance testing apparatus for V2X efficiency class applications, comprising: the system comprises a controller, a background node and a data acquisition module;

the controller includes: scene simulation module and test evaluation module:

the scene simulation module of the controller controls the background node and simulates the efficiency test scene in a preset area; comprising the following steps:

determining a preset efficiency test scenario;

the test evaluation module of the controller is used for acquiring the data and evaluating the performance of the V2X efficiency class application based on the data;

the preset device comprises: a controller and a background node;

the background node comprises a vehicle-mounted node and a road side node;