32results about How to "Improve traffic management efficiency" patented technology

The invention discloses an intelligent toll station lane scheduling system based on deep reinforcement learning, and the system achieves the remarkable improvement of the lane utilization rate and the optimization of the passing efficiency through the real-time collection of traffic flow data and the dynamic scheduling through a deep reinforcement learning algorithm. A lane scheduling strategy is adaptively adjusted according to real-time data, limitation of a traditional fixed mode or artificial experience is avoided, and scientific rationality of lane scheduling is ensured. According to the invention, the traffic efficiency is improved, the congestion degree is reduced, the user experience is improved, and the operation efficiency of the toll station is comprehensively improved. Decision is made based on real-time traffic flow data, interference of human factors is avoided, and reliability and accuracy of a scheduling result are ensured.