Methods, devices and systems for simulating automotive wireless communication scenarios

By using a simulation method for vehicle wireless communication scenarios, virtual test scenarios are generated using a simulation platform, which solves the problems of high cost and difficulty in implementing complex scenarios in real vehicle testing, and achieves accurate evaluation and cost savings in a simulation environment.

CN122133300APending Publication Date: 2026-06-02苏州万集车联网技术有限公司

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
苏州万集车联网技术有限公司
Filing Date
2024-12-02
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In existing technologies, the human and material costs of testing vehicle-road cooperative scenarios in real vehicles are high, and complex scenarios cannot be realized on actual roads, so the test results cannot accurately evaluate the vehicle's performance in complex scenarios.

Method used

The method of vehicle wireless communication scenario simulation uses a simulation platform to receive trajectory data of the vehicle-mounted unit under test, combines it with a preset test scenario to perform simulation, generates virtual test scenario simulation results, sends instruction information to the test roadside unit and the vehicle-mounted unit under test to generate scenario test data, and finally summarizes the test results to realize virtual testing.

Benefits of technology

The simulation environment enables testing of complex scenarios, accurately assessing vehicle performance in complex situations while saving manpower and material costs.

✦ Generated by Eureka AI based on patent content.

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Abstract

This application relates to the field of intelligent transportation technology and provides a method, device, and system for simulating vehicle wireless communication scenarios. In this method, the on-board unit under test (V2K) first sends trajectory data of the test vehicle to a simulation platform. The simulation platform then performs simulation based on the trajectory data and a preset test scenario. Next, based on the simulation results of the virtual test scenario, the simulation platform sends the required instruction information for the preset test scenario to both the roadside unit and the V2K, followed by simulation testing. The V2K generates scenario test data. Finally, the simulation platform aggregates the scenario test data from the V2K to obtain the test results of the test vehicle under that test scenario. Therefore, through virtual-real fusion scenario testing, complex scenario testing can be achieved in a simulated environment, accurately evaluating the performance of the test vehicle in complex scenarios, while also saving manpower and material costs.
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