Recovery of disruptions in rapid transit networks

Cadarso, Luís; Marı́n, Ángel; Maróti, Gábor

doi:10.1016/j.tre.2013.01.013

Cited by 166 publications

(90 citation statements)

References 17 publications

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“…De-Los-Santos et al [10] proposed passenger robustness measures for rail transit networks under with and without bridging interruptions and verified the measures on the Madrid commuter system. Cadarso et al [11] studied the disruption management problem of rapid transit rail networks and designed a two-step approach that combined an integrated optimization for the timetable and rolling stock by considering the passenger behavior.…”

Section: Introductionmentioning

confidence: 99%

Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China

2015

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Rail transit is developing rapidly in major cities of China and has become a key component of urban transport. Nevertheless, the security and reliability in operation are significant issues that cannot be neglected. In this paper, the network and station vulnerabilities of the urban rail transit system were analyzed based on complex network and graph theories. A vulnerability evaluation model was proposed by accounting metro interchange and passenger flow and further validated by a case study of Shanghai Metro with full-scale network and real-world traffic data. It is identified that the urban rail transit network is rather robust to random attacks, but is vulnerable to the largest degree node-based attacks and the highest betweenness node-based attacks. Metro stations with a large node degree are more important in maintaining the network size, while stations with a high node betweenness are critical to network efficiency and origin-destination (OD) connectivity. The most crucial stations in maintaining network serviceability do not necessarily have the highest passenger throughput or the largest structural connectivity. A comprehensive evaluation model as proposed is therefore essential to assess station vulnerability, so that attention can be placed on appropriate nodes within the metro system. The findings of this research are of both theoretical and practical significance for urban rail transit network design and performance evaluation.

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Section: Introductionmentioning

confidence: 99%

Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China

2015

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“…Cadarso and Marin [10] and Cadarso et al [12] demonstrate that this fact also applies in the railway industry where the integrated timetable planning and RS assignment and integrated disruption management are studied, respectively. Marin et al [22], Lopez et al [21] and Walker et al [29] also develop integrated approaches within the railway industry.…”

Section: State Of the Artmentioning

confidence: 96%

“…This approach is heuristic in that it ignores the dynamic interaction between demand and supplied capacity. However, Cadarso et al [12] justify this heuristic approach.…”

Section: Passenger Demandmentioning

confidence: 99%

Improving robustness of rolling stock circulations in rapid transit networks

Cadarso

Marı́n

2014

Computers & Operations Research

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The rolling stock circulation depends on two different problems: the rolling stock assignment and the train routing problems, which up to now have been solved sequentially. We propose a new approach to obtain better and more robust circulations of the rolling stock train units, solving the rolling stock assignment while accounting for the train routing problem. Here robustness means that difficult shunting operations are selectively penalized and propagated delays together with the need for human resources are minimized. This new integrated approach provides a huge model. Then, we solve the integrated model using Benders decomposition, where the main decision is the rolling stock assignment and the train routing is in the second level. For computational reasons we propose a heuristic based on Benders decomposition. Computational experiments show how the current solution operated by RENFE (the main Spanish train operator) can be improved: more robust and efficient solutions are obtained.

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“…Both and Cadarso et al (2013) incorporate passenger rerouting in the optimization of capacity rescheduling. present a model for rolling stock rescheduling.…”

Section: Related Workmentioning

confidence: 99%

“…present a model for rolling stock rescheduling. Cadarso et al (2013) also include timetabling decisions. Both studies use minimization of passenger delay as the objective.…”

Section: Related Workmentioning

confidence: 99%

Shuttle Planning for Link Closures in Urban Public Transport Networks

Hurk

Koutsopoulos

Wilson

et al. 2016

Transportation Science

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Urban Public Transport systems must periodically close certain links for maintenance, which can have significant e↵ects on the service provided to passengers. In practice, the e↵ects of closures are mitigated by replacing the link with a simple shuttle service. However, alternative shuttle services could reduce inconvenience at lower operating cost. This paper proposes a model to select shuttle lines and frequencies under budget constraints. A new formulation is proposed that allows a minimal frequency restriction on any line that is operated, and minimizes passenger inconvenience cost, including transfers and frequency-dependent waiting time. This model is applied to a shuttle design problem based on a real world case study of the MBTA network of Boston (USA). The results show that additional shuttle routes can reduce passenger delay in comparison to the standard industry practice, while also distributing delay more equally over passengers, at the same operating budget. The results are robust under di↵erent assumptions about passenger route choice behavior. Computational experiments show that the proposed formulation, coupled with a preprocessing step, can be solved faster than prior formulations.

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Recovery of disruptions in rapid transit networks

Cited by 166 publications

References 17 publications

Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China

Vulnerability Analysis of Urban Rail Transit Networks: A Case Study of Shanghai, China

Improving robustness of rolling stock circulations in rapid transit networks

Shuttle Planning for Link Closures in Urban Public Transport Networks

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