Test method of cloud control system for intelligent connected vehicles

Abstract

The invention relates to a test method for an intelligent networked vehicle cloud control system. The cloud control test system includes a communication gateway module, a data bus module, a storage and log module, a fusion and decision module, a scene playback module, and a log file or time series database; The system receives the data uploaded by the vehicle terminal and the roadside terminal in real time through the communication gateway module, and publishes the data through the data bus module; the storage and log module subscribes to the data through the data bus module, and stores it in the time series database or log file in the cloud; The scene playback module reads the stored data from the time series database or log files, and publishes the data through the data bus module. The invention enables the cloud control system of intelligent networked vehicles to have the test capability, and can carry out playback test analysis on the information fusion algorithm and decision-making planning algorithm of the cloud control system. It has the advantages of convenient testing and simple development interface.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation systems and intelligent networked vehicles in the Internet of Vehicles, and in particular relates to a test method for cloud control systems of intelligent networked vehicles. Background technique [0002] The cloud control platform integrates perception, communication, computing, control and other technologies, and based on standardized communication protocols, realizes the mutual mapping of elements such as vehicles, traffic, and environment in physical space and information space, through standard interaction between the two, efficient collaboration, and utilization of cloud Computing big data capabilities, solving systematic resource optimization and allocation problems, promoting on-demand response, fast iteration, and dynamic optimization of human-vehicle road operations, and ultimately realizing collaborative unmanned driving. [0003] The cloud-controlled data processing...

AI Technical Summary

Problems solved by technology

However, when the experiment was carried out in the field, because the cloud control system did not record the data required for the test completely and faithfully in the field experiment, it was impossible to carry out further analysis in the laboratory environment in combination with the empirical test data, and the system could only be observed in the field environment. Demonstrate the effect, repeatedly debug to solve the problem, optimize the performance of the system

Since the empirical test involves public road resources, the cost is too high, and the development and test cycle is prolonged, which is not conducive to repeated testing of the scene

[0007] 2. Some test scenarios cannot be reproduced in reality

For this kind of test scenario, due to the rare opportunity, if a test fails, it will be very difficult and costly to reproduce this kind of scenario later, which is the opportunity cost

[0009] 3. The application system and the test system are independent, and the actual traffic scene cannot be faithfully reproduced in the laboratory test

[0010] In the market, the cloud control system for intelligent connected vehicles can only be simulated and tested completely through the simulation platform in the laboratory environment, or can only be verified for functional modules, and system function verification cannot be performed, especially when it cannot be combined with real traffic scenarios. The operating parameters are imported into the actual system to carry out system function testing, that is, the historical data has not been collected faithfully, and then re-imported into the original system for playback analysis of the scene

Images