DocumentCode :
69690
Title :
Bus Bridging Disruption in Rail Services With Frustrated and Impatient Passengers
Author :
Yibing Wang ; Jingqiu Guo ; Currie, Graham ; Ceder, Avishai ; Wei Dong ; Pender, Brendan
Author_Institution :
Inst. of Transp. Eng., Zhejiang Univ., Hangzhou, China
Volume :
15
Issue :
5
fYear :
2014
fDate :
Oct. 2014
Firstpage :
2014
Lastpage :
2023
Abstract :
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.
Keywords :
Monte Carlo methods; planning; queueing theory; rail traffic; railways; stochastic processes; transportation; Monte Carlo simulations; alternative transportation modes; bulk queuing problem; bus bridging disruption; bus services; compound Poisson processes; demand modeling problem; disconnected railway station bridging; frustrated passengers; impatient passengers; rail services; temporary bus bridging network designing; temporary bus bridging network planning; urban rail networks; urban traffic conditions; urban transportation; Australia; Compounds; Rail transportation; Rails; Random variables; Reactive power; Balking; bulk queuing; bus bridging; demand modeling; rail service disruptions; reneging;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2014.2307859
Filename :
6784481
Link To Document :
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