考虑道路拥堵与客流需求的公交发车间隔优化
|
摘要
在考虑道路交通拥堵的条件下,进行公交发车间隔设计,同时在考虑高峰时段客流需求在时间上不均衡的基础上,对所设计的发车间隔进行调整,提出优化模型,得出最终优化方案.以北京市公交534线路为例,对其晚高峰时段发车间隔进行优化.结果表明:所建立的模型可以提高公交车的载客率,对提高公交运营效率具有明显效果.
The bus departure interval design is firstly considered of road traffic congestion. Secondly, the designed departure interval is adjustedon the basis that the passenger flow demand is not balanced in time during peak hours. An optimization model is proposed, and a final optimization plan is obtained. Beijing Bus 534 is takenas an example to optimize its departure interval during the late peak hours. The results show that the model established has strong practicability and can greatly increase the passenger carrying rate of buses with obviously improved efficiency of bus operations.
The bus departure interval design is firstly considered of road traffic congestion. Secondly, the designed departure interval is adjustedon the basis that the passenger flow demand is not balanced in time during peak hours. An optimization model is proposed, and a final optimization plan is obtained. Beijing Bus 534 is takenas an example to optimize its departure interval during the late peak hours. The results show that the model established has strong practicability and can greatly increase the passenger carrying rate of buses with obviously improved efficiency of bus operations.
引文
[1]BANKS J H.Optimal Headways for Multi-Route Transit Systems[J].Journal of Advanced Transportation,1990(2):127-154.
[2]牛学勤,陈茜,王炜.城市公交线路调度发车频率优化模型[J].交通运输工程学报,2003,3(4):68-72.
[3]戴连贵,刘正东.公交调度发车间隔多目标组合优化模型[J].交通运输系统工程与信息,2007,7(4):43-46.
[4]王超,徐猛.考虑道路交通拥堵的公交发车间隔优化模型[J].交通运输系统工程与信息,2011,11(4):166-172.
[5]李英帅,孙连超,张旭,等.基于时间客流不均衡性公交发车间隔优化方法[J].交通科技与经济,2011,13(6):89-92.
[6]柏海舰,董瑞娟,张敏,等.基于同步多样性的公交时刻优化方法[J].交通运输工程学报,2013,13(3):79-85.
[7]WU Y,TANG J,YU Y,et al.A Stochastic Optimization Model for Transit Network Timetable Design to Mitigate the Randomness of Traveling Time by Adding Slack Time[J].Transportation Research Part C:Emerging Technologies,2015,52:15-31.
[8]吴影辉,唐加福.考虑不均匀发车间隔的公交网络时刻表优化模型[J].东北大学学报,2016,37(4):461-466.
[9]董红召,孔娟娟,刘晴辉.交通拥堵条件下的公交发车间隔过渡模型研究[J].交通运输系统工程与信息,2016,16(3):101-119.
[10]赵诗奥,左忠义.基于城市公共交通的区域可达性研究[J].大连交通大学学报,2017,38(5):6-10.
[11]AVISHAI CEDER.Public Transit Planning and Operation:Modeling,Practice and Behavior[M].北京:清华大学出版社,2017:41-60.
[12]ZUO Zhongyi,YIN Wei,YANG Guangchuan,et al.Determination of Bus Crowding Coefficient Based on Passenger Flow Forecasting[EB/OL].Journal of Advanced Transportation,2019,Article ID 2751916,12 pages.https://doi.org/10.1155/2019/2751916.
[2]牛学勤,陈茜,王炜.城市公交线路调度发车频率优化模型[J].交通运输工程学报,2003,3(4):68-72.
[3]戴连贵,刘正东.公交调度发车间隔多目标组合优化模型[J].交通运输系统工程与信息,2007,7(4):43-46.
[4]王超,徐猛.考虑道路交通拥堵的公交发车间隔优化模型[J].交通运输系统工程与信息,2011,11(4):166-172.
[5]李英帅,孙连超,张旭,等.基于时间客流不均衡性公交发车间隔优化方法[J].交通科技与经济,2011,13(6):89-92.
[6]柏海舰,董瑞娟,张敏,等.基于同步多样性的公交时刻优化方法[J].交通运输工程学报,2013,13(3):79-85.
[7]WU Y,TANG J,YU Y,et al.A Stochastic Optimization Model for Transit Network Timetable Design to Mitigate the Randomness of Traveling Time by Adding Slack Time[J].Transportation Research Part C:Emerging Technologies,2015,52:15-31.
[8]吴影辉,唐加福.考虑不均匀发车间隔的公交网络时刻表优化模型[J].东北大学学报,2016,37(4):461-466.
[9]董红召,孔娟娟,刘晴辉.交通拥堵条件下的公交发车间隔过渡模型研究[J].交通运输系统工程与信息,2016,16(3):101-119.
[10]赵诗奥,左忠义.基于城市公共交通的区域可达性研究[J].大连交通大学学报,2017,38(5):6-10.
[11]AVISHAI CEDER.Public Transit Planning and Operation:Modeling,Practice and Behavior[M].北京:清华大学出版社,2017:41-60.
[12]ZUO Zhongyi,YIN Wei,YANG Guangchuan,et al.Determination of Bus Crowding Coefficient Based on Passenger Flow Forecasting[EB/OL].Journal of Advanced Transportation,2019,Article ID 2751916,12 pages.https://doi.org/10.1155/2019/2751916.