摘要
公交车辆在运行过程中,往往受到外界环境干扰,导致车辆不能按预定时刻表运行,出现"串车"现象。基于多智能体协商机制,提出公交车辆"滞站"的分布式控制策略,在满足公交需求的同时减少乘客等待时间,提高服务质量。以边际费用计算为基础,设计了Bus Agent和Stop Agent之间的协商算法,同时给出了最优化条件。最后,设计仿真实验,对本文提出的协商算法与常见的控制策略比较,实验结果证明了本文提出的算法对不同公交环境的鲁棒性。
Because of the influence of various external factors while buses are running,the bus bunching phenomenon often happens. To improve the quality of public transport services,a distributed holding strategy of public transport systems is proposed based on multi-agent negotiation mechanism. The negotiation between a bus agent and a stop agent is conducted depending on marginal cost calculations. Then the optimality conditions are obtained. Finally,the comparison among the negotiation algorithm and traditional strategies is conducted by simulations,which verify the robustness of the negotiation algorithm under different environments.
作者
王志利
张昕明
WANG Zhi-li;ZHANG Xin-ming(Shanxi Academy of Urban&Rural Planning and Design,Taiyuan 030001,China;Qingdao Hisense Tran Tech Co.,Shandong QingDao 266000,China)
出处
《太原科技大学学报》
2019年第1期63-67,共5页
Journal of Taiyuan University of Science and Technology
关键词
滞站策略
多智能体
协商
分布式控制策略
holding strategy
multi-agent
negotiation
distributed control strategy
