Bus Bridging Disruption in Rail Services With Frustrated and Impatient Passengers

被引:48
作者
Wang, Yibing [1 ]
Guo, Jingqiu [2 ]
Currie, Graham [3 ]
Ceder, Avishai [4 ,5 ]
Dong, Wei [6 ]
Pender, Brendan [3 ]
机构
[1] Zhejiang Univ, Coll Civil Engn & Architecture, Inst Transportat Engn, Hangzhou 310027, Zhejiang, Peoples R China
[2] Univ Western Australia, Perth, WA 6009, Australia
[3] Monash Univ, Fac Engn, Dept Civil Engn, Inst Transport Studies, Melbourne, Vic 3800, Australia
[4] Univ Auckland, Fac Engn, Transportat Res Ctr, Dept Civil & Environm Engn, Auckland 1142, New Zealand
[5] Technion Israel Inst Technol, IL-3200003 Hafa, Israel
[6] Swinburne Univ Technol, Coll Informat & Commun Technol, Hawthorn, Vic 3122, Australia
关键词
Balking; bulk queuing; bus bridging; demand modeling; rail service disruptions; reneging;
D O I
10.1109/TITS.2014.2307859
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Urban rail networks play an important role in urban transportation. An unexpected disruption in a rail network can cause a significant degradation in the level of service. When a disruption occurs, it is crucial to provide quick and efficient substitution of services via alternative transportation modes, including bridging disconnected railway stations using bus services. The amount of disruptions, surprisingly, is high; for example, there are more than 15 000 disruptions in six months in Melbourne, Australia. The provision of bus bridging services calls for proper planning and designing of a temporary bus bridging network considering limited bus and driver resources, and prevailing urban traffic conditions. Among a number of tasks concerning bus bridging, the demand modeling of affected train passengers is a prerequisite for a satisfactory bus bridging practice. This paper explores this demand modeling problem based on the theory of compound Poisson processes and formulates it as a bulk queuing problem involving balking and reneging. The problem is carefully studied, with a series of analytical results delivered. Large-scale Monte Carlo simulations were designed and implemented to demonstrate a range of mathematical conclusions.
引用
收藏
页码:2014 / 2023
页数:10
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