基于人车路云协同的道路智能交通测试平台及测试方法
The intelligent transportation testing platform that integrates human, vehicle, road, and cloud technologies has solved the problems of data silos and high risk and cost in complex traffic scenarios. It has enabled dynamic simulation of multiple elements and global feasibility verification, thereby improving the reliability of L4 and above autonomous driving systems.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JILIN UNIVERSITY
- Filing Date
- 2026-04-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies cannot effectively simulate the emergence of collective intelligence in the context of vehicle wireless communication technology in complex traffic scenarios. Furthermore, they suffer from data silos and high-risk, high-cost real-road testing, making it difficult to verify the reliability of Level 4 and above autonomous driving systems.
Construct an intelligent transportation test platform based on human-vehicle-road-cloud collaboration, including an environmental situation mirror generation system, a trajectory decision collaboration system, and a flexible right-of-way redistribution system. Generate dynamic risk heat maps through multi-source data fusion, conduct multi-vehicle collaborative decision-making and road network resource optimization, and achieve global feasibility verification.
It enables multi-element dynamic simulation of complex traffic scenarios, reduces the frequency of emergency avoidance in real vehicle testing, improves the road network adaptive capability and verification accuracy under extreme conditions, dynamically adjusts lane function boundaries, and improves the reliability verification of L4 and above autonomous driving systems.
Smart Images
Figure CN122116647B_ABST