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基于生存决策法的公交系统调度
引用本文:蔺庆海,刘 伟,王立超. 基于生存决策法的公交系统调度[J]. 科学技术与工程, 2019, 19(7)
作者姓名:蔺庆海  刘 伟  王立超
作者单位:重庆交通大学,重庆交通大学,南京航空航天大学
基金项目:城市道路交通事件下的分区诱导策略研究(2017KFKT08)
摘    要:城市公交系统运营调度优化是公交优化的一项重要内容,随着道路交通网络运行可靠性的降低和公交客流波动性的增大,公交车辆在运行中会出现一些突发状况,公交调度优化能够确保公交系统在突发状况发生后仍然能够较好的运行,保障公交系统的可靠性和公交系统服务水平。本文将联动调度引入到驾驶员与公交车辆的调度中,综合考虑了客流突变、车辆条件、交通拥堵、交通事故和驾驶员状况等多种因素,在生存决策法的基础上依据上述因素建立了驾驶员和公交车辆的系统调度模型,通过生存动态模型与惯性约束模型的分析来判断系统的生存状态,并结合义乌市现有公交线路系统对模型进行验证分析。结果表明此方法对公交系统调度具有较为重要的意义。

关 键 词:公交系统  驾驶员与公交车辆调度 实时调度  生存决策法
收稿时间:2018-10-08
修稿时间:2018-12-11

Study on Bus System Scheduling Based on Survival Decision Method
LIN Qing-hai,and WANG Li-chao. Study on Bus System Scheduling Based on Survival Decision Method[J]. Science Technology and Engineering, 2019, 19(7)
Authors:LIN Qing-hai  and WANG Li-chao
Affiliation:Chongqing Jiaotong University,,Nanjing University of Aeronautics and Astronautics
Abstract:Urban public transportation operation scheduling optimization is an important content of the bus optimization, with the loss of the road network reliability and bus passenger flow volatility increases, as well as occurred in the use of public transport in an emergency, ensuring the public transport system can still run better, guarantee the survival state of the public transport system, and is the guarantee bus system reliability and the public transport system service level of a major breakthrough. This paper introduce the linkage scheduling to the driver and transit vehicle scheduling, considering the passenger mutations, traffic conditions, traffic congestion, traffic accidents, and many factors such as the driver condition, will the driver and the linkage of the bus scheduling combined with real-time scheduling, on the basis of the survival of decision on the basis of the above factors the pilot and the system bus scheduling model is established, through the analysis of relevant indicators to judge the survival state of the system. The results indicates that the method is of great significance to the scheduling of public transportation system.
Keywords:Public  transportation system  Driver and  bus transportation  scheduling Real  time scheduling  Survival decision  method
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