Publication
Title
Multiobjective vehicle type and size scheduling problem in urban public transport using MOCell
Author
Abstract
We study the problem of vehicle scheduling in urban public transport systems taking into account the vehicle-type and size (VTSP). It is modeled as a multiobjective combinatorial optimization problem. A heuristic based on MOCell (MultiObjective Cellular evolutionary algorithm) is proposed to solve the problem. A set of non-dominated solutions represents different assignments of vehicles to specific routes. The conflicting objectives of provider and users (passenger) are to minimize the total operating cost, and maximize the quality of service, taking into account restrictions of government agencies in context of smart cities to improve the Intelligent Transport Systems (ITS).
Language
English
Source (book)
2016 International Conference on Engineering and Telecommunication (EnT), 29-30 November, 2016, Moscow, Russia
Publication
New york : 2016
ISBN
978-1-5090-4553-2
DOI
10.1109/ENT.2016.032
Volume/pages
(2016) , p. 110-113
ISI
000404436600024
Full text (Publisher's DOI)
UAntwerpen
Publication type
Subject
External links
Record
Identifier
Creation 26.03.2024
Last edited 15.10.2024
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