Technical Papers
May 31, 2022

Integrated Optimization of Bus Bridging Route Design and Bus Resource Allocation in Response to Metro Service Disruptions

Publication: Journal of Transportation Engineering, Part A: Systems
Volume 148, Issue 8

Abstract

This paper focuses on the bus bridging service design in response to an unplanned metro line segment disruption. An integrated optimization model is constructed to address both bus bridging route layouts and bus resource allocation. Diversified routes, e.g., stop-by-stop route, express route, skip-stop route, parallel to the disrupted line segment are applied in the optimized bridging scheme to best respond to the passenger demands. An event-driven simulation-based genetic algorithm is designed to solve the optimization model. The simulation method is introduced to handle the uncertainty of passenger waiting time and the randomness of bus dwelling times at bridging stations and control the bus station capacities and guarantee the feasibility of the bridging schemes. Finally, the effectiveness of our proposed approaches is verified in a case study. Sensitivity analyses explore the impacts of fleet size and route diversity on the bridging performance. The results are instructive for transit agencies to operate bus bridging services.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This research was funded by the Natural Science Foundation of Zhejiang Province (Nos. LY21E080008 and LGF20E080010), Natural Science Foundation of Ningbo (No. 202003N4146), Shanghai Key Laboratory of Rail Infrastructure Durability and System Safety (No. R202002), and National Natural Science Foundation of China (No. 51408323). The authors want to thank anonymous reviewers for their insightful comments on this paper.

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Information & Authors

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Go to Journal of Transportation Engineering, Part A: Systems
Journal of Transportation Engineering, Part A: Systems
Volume 148Issue 8August 2022

History

Received: Jul 28, 2021
Accepted: Mar 7, 2022
Published online: May 31, 2022
Published in print: Aug 1, 2022
Discussion open until: Oct 31, 2022

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Authors

Affiliations

Assistant Professor, School of Maritime and Transportation, Ningbo Univ., Ningbo 315211, China; Assistant Professor, Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast Univ., Road #2, Nanjing 211189, China. ORCID: https://orcid.org/0000-0003-2688-082X. Email: [email protected]
Jinjin Liao [email protected]
Master’s Student, School of Maritime and Transportation, Ningbo Univ., Ningbo 315211, China. Email: [email protected]
Tianle Wang [email protected]
Master’s Student, School of Maritime and Transportation, Ningbo Univ., Ningbo 315211, China. Email: [email protected]
Lili Lu, Ph.D. [email protected]
Assistant Professor, School of Maritime and Transportation, Ningbo Univ., Ningbo 315211, China (corresponding author). Email: [email protected]

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Cited by

  • Optimization of Bus Bridging Strategy for Two Bus Types during Planned Metro Disruptions, Journal of Transportation Engineering, Part A: Systems, 10.1061/JTEPBS.TEENG-8482, 150, 11, (2024).
  • Resilience-based optimization model for emergency bus bridging and dispatching in response to metro operational disruptions, PLOS ONE, 10.1371/journal.pone.0277577, 18, 3, (e0277577), (2023).
  • Applications of Genetic Algorithm and Its Variants in Rail Vehicle Systems: A Bibliometric Analysis and Comprehensive Review, IEEE Access, 10.1109/ACCESS.2023.3292790, 11, (68972-68993), (2023).

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