Intelligent rail green wave driving method and system based on multi-system linkage
By using a multi-system integrated intelligent rail transit green wave method, problems such as low traffic efficiency, high transmission latency, unintelligent control, and permission conflicts of new rail vehicles under shared right-of-way have been solved. This has enabled intelligent rail vehicles to pass efficiently, stably, and economically, thus optimizing urban traffic operations.
Patent Information
- Application Number
- CN202610165941.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-02-05
- Publication Date
- 2026-05-26
AI Technical Summary
Existing technologies suffer from low traffic efficiency, insufficient control information transmission delay and reliability, rigid signal control mechanisms, conflicting authority among multiple traffic entities, and high system upgrade costs under shared right-of-way conditions, resulting in limited overall operational efficiency.
The intelligent rail transit system adopts a multi-system linkage green wave driving method. Real-time location and speed data are collected by the intelligent rail vehicle unit and uploaded to the station monitoring system via 5G communication network. Combined with the inertial navigation compensation module, the positioning accuracy is ensured. The station monitoring system determines whether the vehicle enters the intersection warning range and calculates the estimated arrival time. The traffic signal management system and the main traffic light control center perform hierarchical judgment of permissions and dynamically trigger green light acceleration operation to realize priority passage of intelligent rail transit vehicles.
It significantly improves the traffic efficiency and system stability of intelligent rail transit vehicles, reduces operation and maintenance costs, optimizes traffic order, achieves a reasonable allocation of right-of-way between intelligent rail transit vehicles and social vehicles and pedestrians, reduces energy consumption, and lowers the difficulty and cost of system deployment.