Optimal bus reassignment considering in-vehicle overcrowding

Zakir H. Farahmand*, Konstantinos Gkiotsalitis, Karst T. Geurs

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Public transport services are often designed to meet travel demand under regular situations. However, severe weather conditions (e.g., heavy rainfall, snow, thunderstorms, etc.) can adversely impact the service operation, leading to problems such as in-vehicle overcrowding, delays, and trip cancellations. In this study, we propose a novel approach to address in-vehicle overcrowding issues during weather disruptions. In this approach, we dynamically reassign buses from low-demand trips to lines where the expected demand exceeds the capacity threshold of the in-service buses. This way, the existing capacity is utilized more efficiently without requiring additional vehicles or drivers. Considering the shortage of bus drivers in Europe, as well as in the Netherlands, this is a more efficient solution than other alternatives such as deploying additional buses from the depot. Experiments were conducted on a bus network in Enschede in the Netherlands. The results showed that in several disrupted situations, we can reassign bus trips to overcome overcrowding issues without significant negative impacts on the operation or passengers. However, the approach entails a trade-off between passengers of a canceled trip and an overcrowded trip. Some passengers must wait for the next bus or use other means of transport as a consequence of bus reassignment.
Original languageEnglish
Article number101260
JournalTransportation Research Interdisciplinary Perspectives
Volume28
DOIs
Publication statusPublished - 1 Nov 2024

Keywords

  • UT-Hybrid-D
  • In-vehicle overcrowding
  • Optimization
  • Weather disruptions
  • Bus ridership

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