Automatic driving vehicle intersection scheduling system and method based on vehicle road cooperation

Abstract

The invention relates to an automatic driving vehicle intersection scheduling system and method based on vehicle road cooperation, and belongs to the technical field of automatic driving. The system and method solve the problem about vehicle road cooperation of automatic driving vehicles at intersections. The system comprises a vehicle-mounted communication terminal, a roadside measurement and control communication terminal, an intelligent computing center terminal and a cloud traffic scheduling platform; vehicle running state data transmitted by the vehicle-mounted communication terminal, real-time traffic data collected and transmitted by the roadside measurement and control communication terminal and manual scheduling instructions transmitted by the cloud traffic scheduling platform form a vehicle scheduling information set through data fusion, traffic light timing calculation, lane guiding and lane switching setting conducted by the intelligent computing center terminal, and the vehicle scheduling information set is sent to the vehicle-mounted communication terminal to achieve driving control over the automatic driving vehicles. The system and method increase the intersection road utilization rate to the largest extent, and real-time dynamic high-precision data updating is realized.

Description

Technical field [0001] The invention relates to the technical field of automatic driving, in particular to a vehicle-road coordination-based automatic driving vehicle intersection scheduling system and method. Background technique [0002] The mainstream lane-level high-precision map collection scheme is to continue the traditional digital map collection idea, and the map collection vehicle is collected on the road through cameras, lidar and other sensors. Since the map collection vehicle needs a certain period of time to cover all roads, it will cause vehicle safety risks caused by untimely data updates. Even if map manufacturers increase investment in collection vehicles, or even crowdsourced vehicles to collect data, there must be moments when the vehicles cannot be informed of the changes in the road traffic rules at the first time. This is for self-driving cars that are completely controlled by data and algorithms. Said that the accident risk is inevitable and the harm is f...

AI Technical Summary

Problems solved by technology

Although some patents have proposed a method of dynamically changing the timing rules of signal lights according to real-time traffic flow from the perspective of improving traffic efficiency, these technologies have not fully considered the variability of traffic rules at intersections and the possibility of lane guidance in an autonomous driving environment. Real-time adjustment, so the existing scheme can make further breakthroughs in the improvement of traffic efficiency, and there is a gap in the adjustment of lane guidance and signal light rules to deal with road emergencies

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