Research on Road Traffic Flow Status Based on Multi-source Monitoring Data

Abstract

This paper mainly solves the traffic flow problem based on multi-source monitoring data. By using the methods of time-space fusion, traffic flow dynamics, in-depth learning and queuing theory model, the multi-monitoring data of Shenzhen's main roads are analyzed. The traffic flow description model and congestion prediction model are constructed, and the optimal plan for traffic police departments to cope with the traffic situation is explored, which provides a new way to solve the urban traffic pressure.