EURO 2024 Copenhagen
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1756. Integrating Heterogeneous Multi-Depot Vehicle Scheduling and Public Transit Assignment for Enhanced Transit Operations: A Simulation-based Framework

Invited abstract in session WD-51: Transit, stream Public Transport Optimization.

Wednesday, 14:30-16:00
Room: M5 (building: 101)

Authors (first author is the speaker)

1. PRATEEK AGARWAL
Civil Engineering, Indian Institute of Science
2. Prashanth Kokkonda
Civil Engineering, Indian Institute of Science
3. Tarun Rambha
Civil Engineering, Indian Institute of Science

Abstract

Public transit agencies make ad-hoc supply-side changes with an aim to improve service quality. However, the benefits of these supply-side improvements heavily depend on the complex behaviour of users, who typically prioritize multiple criteria, such as travel times and the number of transfers while choosing routes. Agencies, on the other hand, decide trip-to-vehicle assignments (Multi-Depot Vehicle Scheduling, MDVS). However, these decisions should (1) account for temporal and spatial variation in demand and (2) consider the changes in passenger choices they may trigger. The study proposes a local search framework that assigns a heterogeneous fleet to trips (HMDVS) so that the resulting capacity on the route is commensurate with the demand for travellers along routes. We assess user responsiveness via a simulation-agent-based public transit assignment (PTA) that predicts travellers’ route choices based on transit schedule and capacity constraints. Our local search operators are designed to effectively capture the user sensitivity to supply perturbations, leveraging the interaction between PTA and HMDVS. Analysis on real-world transit networks such as Santa Barbara, Columbus, and Surat show that our PTA framework can simulate millions of passengers in a few hours. Additionally, we observe savings of up to 10% in operational costs on switching from a homogenous to a heterogenous fleet.

Keywords

Status: accepted


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