Optimal public transport timetabling with autonomous-vehicle units using coupling and decoupling tactics

Fluctuating demand for public transport (PT) is one of the main reasons for unreliable PT service, and subsequent passenger frustration at being left behind at PT stops. A novel way to solve this situation is to optimally use autonomous PT vehicles with coupling and decoupling (C&D) of vehicle u...

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Bibliographic Details
Published in:Transportmetrica (Abingdon, Oxfordshire, UK) Vol. 21; no. 1; pp. 50 - 100
Main Authors: Wang, Yaoyao, Ceder, Avishai (Avi), Cao, Zhichao, Zhang, Silin
Format: Journal Article
Language:English
Published: Abingdon Taylor & Francis 02.01.2025
Taylor & Francis Ltd
Subjects:
Algorithms
bilevel heuristic
Coupling
coupling-decoupling tactics
Decoupling
Headways
Heuristic methods
multi-objective integer nonlinear programming
Optimization
Passengers
Public transport optimisation
Public transportation
Tactics
timetabling
Travel demand
ISSN:2324-9935, 2324-9943
Online Access:Get full text
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Summary:Fluctuating demand for public transport (PT) is one of the main reasons for unreliable PT service, and subsequent passenger frustration at being left behind at PT stops. A novel way to solve this situation is to optimally use autonomous PT vehicles with coupling and decoupling (C&D) of vehicle units to accommodate the fluctuating PT demand and reliability issues. In this way, vehicle size is added as a variable of the problem. This work proposes a new class of C&D tactics in the process of solving the problems of PT route timetabling subject to passenger demand. Resolving the optimisation problem involves determining the C&D arrangement at stops/stations to accommodate the C&D options and departure times. The validation of the model is performed by a small example and a real case study with a bilevel heuristic algorithm that manages to completely (100%) eliminate left-behind passengers using practical, even-headway, and even-load timetables.
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ISSN:2324-9935
2324-9943
DOI:10.1080/23249935.2023.2220423