Framework Design and Simulation of Intelligent Management System of Transportation in Large Cities: A Case Study of Wuhan

In order to strengthen the ability of tracking, perception, analysis and judgment of the comprehensive traffic operation situation of large cities and improve the utilization level of traffic data, this paper uses advanced digital technology and information means, adopts the method of combining empirical research and normative research, and designs a holistic, systematic and forward-looking framework for intelligent management system (SCTIMS) of urban transportation according to the existing problems of large city transportation, so that the existing facilities and systems can release the secondary potential. Then, using simulation technology, specific logistics and passenger flow application scenarios are selected, the simulation model is operated and analyzed, and specific policy recommendations are obtained, in order to improve the decision-making ability and operational efficiency of urban transportation and help the high-quality and sustainable development of transportation in large cities.