DynasTIM (Dynamic network assignment system for Traffic Information Management) 是用于路网动态交通流实时分析、仿真、预测和优化的大型数据处理软件系统，为智慧交通相关系统提供高可信的信息与决策支持；未来将能为互联的智能车辆动态规划最优的出行方案，是新一代智慧交通的重要支撑系统之一．在发展初期，DynasTIM参考了DynaCHINA和DynaMIT等国内外动态交通分析系统的相关研究成果，后经过数年高强度的独立研发而成
The basic theory of reinforcement and the idea of distributed Q-Learning are introduced in this paper. Based on the analysis of distributed Q-Learning in the urban traffic coordination control, reward function and weight function are presented. The e
