基于Multi-agent的交通流优化模型

Optimal Traffic Control Model Based on Multi-agent

交通流的优化模型是城市交通控制和管理问题中十分重要的研究课题。利用合理的道路优化控制策略 ,可以提高道路通行能力和车辆平均速度 ,改善城市交通状况。本文将人工智能的新技术 ,用于城市道路交通流控制模型中 ,通过灵活的agent自主控制算法和Multi agent协商策略 ,构造交通流的优化模型 ,从而解决车辆阻塞和交通疏导问题。这种新的优化模型和相应控制算法的应用 ,可以有效解决城市交通路口的车辆阻塞问题 。

The optimal control of traffic flow is imp ortant in urban transportation.Reasonable optimal traffic control strategy can improve traffic capacity,enhance vehicle average speed and make a progress in urban traffic conditions.In this paper,an optimized traffic control model is founded through a more flexible agent self-control arithmetic and multi-agent negotiate strategy.In simulation,this new optimal strategy is proved efficient in dealing with the traffic congestion problem and improving the traffic capacity.