Short-Turn Vehicles Departure Strategy Considering Reliability of Bus Operation

被引：0
|
作者：
Yan H. [1 ]
Liu R. [1 ]
机构：
[1] Key Laboratory of Advanced Public Transportation Science of the Ministry of Transport, Beijing University of Technology, Beijing
来源：
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science) | 2019年 / 47卷 / 11期
基金：
中国国家自然科学基金;
关键词：
Change point theory; Data simulation; Reliability; Short-turn buses; Traffic engineering;
D O I：
10.12141/j.issn.1000-565X.190154
中图分类号：
学科分类号：
摘要：
The operation of short-turn buses will affect the operation state of full-length buses. The reliability of bus operation system can be improved by properly designing a short-turn departure strategy. Given the operation of short-turn buses, a bus operation state model was established. And the departure strategy was designed with the cumulative sum (CUSUM) method. In addition, based on the real-time IC data of bus No. 973 in Beijing, the influence of different short-turn bus departure strategies on the operation state of full-length buses and passenger's average waiting time were studied by numerical simulation method. The simulation results show that the bus departure strategy developed by this method can not only improve the bus operation reliability, but also greatly reduce the passenger's average waiting time; improper departure time arrangement have a negative impact on the operation reliability of other full-length vehicles. © 2019, Editorial Department, Journal of South China University of Technology. All right reserved.
引用
收藏
页码：25 / 32and43
页数：3218
相关论文
共 25 条
  • [1] Chen X., Yu L., Zhang Y., Et al., Analyzing urban bus service reliability at the stop, route, and network levels, Transportation Research Part A: Policy & Practice, 43, 8, pp. 722-734, (2009)
  • [2] Sorratini J.A., Liu R., Sinha S., Assessing bus transport reliability using micro-simulation, Transportation Planning & Technology, 31, 3, pp. 303-324, (2008)
  • [3] Mark A., Amir E., Israel E., Optimal control of headway variation on transit routes, Journal of Advanced Transportation, 20, 1, pp. 73-88, (2010)
  • [4] Tetreault P.R., El-Geneidy A.M., Estimating bus run times for new limited-stop service using archived AVL and APC data, Transportation Research Part A: Policy & Practice, 44, 6, pp. 390-402, (2010)
  • [5] Furth P.G., Short turning on transit routes, Journal of the Transportation Research Board, 1108, pp. 42-52, (1987)
  • [6] Wu W.-T., Jin W.-Z., Wei M., Et al., Mixed scheduling model of single-line bus for zonal vehicles, Journal of South China University of Technology(Natural Science Edition), 40, 11, pp. 147-154, (2012)
  • [7] Site P.D., Filippi F., Service optimization for bus corridors with short-turn strategies and variable vehicle size, Transportation Research Part A: Policy & Practice, 32, 1, pp. 19-38, (1998)
  • [8] Cortes C.E., Jara-Diaz S., Tirachini A., Integrating short turning and deadheading in the optimization of transit services, Transportation Research Part A: Policy & Practice, 45, 5, pp. 419-434, (2011)
  • [9] Tirachini A., Cortes C.E., Jara-Diaz S.R., Optimal design and benefits of a short turning strategy for a bus corridor, Transportation, 38, 1, pp. 169-189, (2011)
  • [10] Furth P.G., Zonal route design for transit corridors, Transportation Science, 20, 20, pp. 1-12, (1986)
123