Safety-oriented train timetabling and stop planning with time-varying and elastic demand on overcrowded commuter metro lines

Authors

Jungang Shi
Jing Yang
Lixing Yang
Lefeng Tao
Shengjie Qiang
Zhen Di
Junhua Guo

Document Type

Journal Article

Publication Date

2023

Subject Area

mode - subway/metro, place - urban, operations - capacity, operations - crowding, operations - scheduling, planning - methods, planning - safety/accidents, planning - personal safety/crime, planning - service improvement, ridership - commuting, ridership - demand, ridership - elasticity, ridership - modelling

Keywords

Metro, elastic demand, timetabling, safety

Abstract

In some megacities, commuter metro lines that connect suburbs and downtown areas always suffer from serious non-equilibrium passenger congestion at stations during rush hours, bringing huge operation risks. To balance the non-equilibrium passenger congestion on overcrowded metro lines, this study aims to jointly optimize the train timetable and stop plan from the perspective of transportation safety in which some effective skip-stop patterns are adopted to allocate necessary train capacities to overcrowded stations with consideration to time-varying and elastic demand. We formulate the problem of interest as an integer linear programming model where the total passenger gathering risk, passenger waiting time, passenger riding time, and loss of ticket income are all included in the objective function. An efficient iterated local search (ILS) algorithm is designed for the convenience of solving large-scale models. Numerical experiments for a series of small-scale and real-world case studies are conducted to test the performance of the proposed methods. The computational results show that the designed algorithm can obtain high-quality train operation schemes in a much shorter time, which can greatly improve transportation safety by balancing the number of stranded passengers at any station.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Transportation Research Part E Home Page:

http://www.sciencedirect.com/science/journal/13665545

Recommended Citation

Shi, J., Yang, J., Yang, L., Tao, L., Qiang, S., Di, Z., & Guo, J. (2023). Safety-oriented train timetabling and stop planning with time-varying and elastic demand on overcrowded commuter metro lines. Transportation Research Part E: Logistics and Transportation Review, 175, 103136.