城市道路交通实时在线仿真平台优化与提升

Construction and Improvement of Real-time Online Simulation Platform for Urban Road Traffic

随着大数据、人工智能和云计算等信息技术的快速发展,推动新型交通仿真技术的研究和应用,实现主动、及时、安全的智慧交通管控成为可能。本文介绍了一套完整的从动态车辆OD估计、动态路径决策、动态网络加载、实时在线仿真到短时交通预测的集成技术方法,支持交通预警、信号优化、动态诱导和事件评估等交通管控功能。通过在深圳新洲路实时在线交通仿真的应用案例,验证技术方法的可行性,并剖析技术流程中影响仿真精度的关键技术环节,提出技术优化和提升的方向及思路。

With the rapid development of information technology such as big data, artificial intelligence and cloud computing, it was possible to promote the research and application of new traffic simulation technology and realize active, timely and safe intelligent traffic control. The real-time online traffic simulation technology was explored, and a complete set of innovative traffic simulation technology methods from dynamic vehicle OD estimation, dynamic path decision, dynamic network loading, real-time online simulation to short-term traffic prediction was established to support dynamic traffic warning, real-time traffic control functions such as event online deduction, signal control optimization, dynamic traffic guidance and event evaluation. Finally, through the application cases of Shenzhen Xinzhou Road, the key technical links affecting the simulation precision in the technical process are analyzed, and the direction and ideas of technology optimization and improvement are proposed.