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车联网环境下公交发车间隔优化方法研究 被引量:2

Research on Optimization Method of Bus Departure Interval in Vehicle Network Environment
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摘要 针对现有公交发车间隔模型忽略了智能调度对公交运营的影响问题,提出了车联网环境下的发车间隔设计方法.在考虑发车间隔、发车次数、车辆满载率约束条件下,对城市常规公交发车间隔进行了研究.在综合考虑约束条件的基础上,以乘客候车时间、乘客舒适度以及公交公司运营成本最小为目标函数,建立公交发车调度时刻表优化模型.最后以大连市公交101线路为例对该模型进行分析,利用MATLAB仿真软件进行求解,验证模型的有效性. The existing planning models of bus departure time interval usually ignores the important impact factor of intelligent scheduling. To solve the issue,a departure time interval is presented considering the environment of vehicular networks. Considering the start interval,the number of trips and the vehicle full load rate constraints,the departure interval optimization of conventional bus is studied. Considering the constraint conditions,the departure interval optimization model is established by setting passenger waiting time,passenger comfort and the operating cost of the bus company as the objective functions. Finally,a practical experiment of101 bus route in Dalian is implemented to analyze the prosed model by MATLAB simulation. Therefore,the departure interval optimization method of environment of vehicular networks established in this paper has certain practical significance,so the enterprises can better balance the interests of bus companies and passengers.
作者 殷巍 左忠义 张蕴琦 牛帅 YIN Wei;ZUO Zhongyi;ZHANG Yunqi;NIU Shuai(School of Traffic & Transportation Engineering,Dalian Jiaotong University,Dalian 116028,China)
出处 《大连交通大学学报》 CAS 2018年第4期7-11,共5页 Journal of Dalian Jiaotong University
基金 辽宁省教育厅科研计划资助项目(JDL2017034) 大连市高层次人才创新支持计划资助项目(2016RQ057)
关键词 智能交通 车联网 时刻表优化 公交调度 遗传算法 intelligent transportation vehicular networks bus scheduling timetable optimization genetic algorithm
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