Electric public transport; Optimal dispatching; Mixed integer linear programming
Résumé :
[en] We consider the problem of optimally determining the sequence of electric and hybrid buses departing from a multi-line bus terminal, considering both service constraints (schedule adherence) and energy constraints (electric bus charging status, bus recharging scheduling in capacitated facilities). The problem is formulated as a Mixed Integer Linear Program, with the objective of minimizing the total operational cost for the bus lines in question. System dynamics are captured by practical sets of constraints, ranging from scheduling adherence to discharge- recharge dynamics. Individual operational costs at the bus level and at the trip level are fully parametrized, allowing for extensive sensitivity analysis. We investigate a real-life case study based on the city of Luxembourg, where two charging stations have been installed in the central station’s bus terminal. Experimental results show that, while full electrification is indeed possible, the required fleet size depends strongly on the given line(s) timetable.
Disciplines :
Ingénierie, informatique & technologie: Multidisciplinaire, généralités & autres
Auteur, co-auteur :
RINALDI, Marco ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Parisi, Federico; Roma Tre University > Department of Engineering > Master Student
LASKARIS, Georgios ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
D'Ariano, Andrea; Roma Tre University > Department of Engineering > Associate Professor
VITI, Francesco ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Co-auteurs externes :
yes
Langue du document :
Anglais
Titre :
Optimal dispatching of electric and hybrid buses subject to scheduling and charging constraints
Date de publication/diffusion :
novembre 2018
Nombre de pages :
6
Nom de la manifestation :
21st IEEE International Conference on Intelligent Transportation Systems
Lieu de la manifestation :
Maui, Hawaii, Etats-Unis
Date de la manifestation :
from 4-11-2018 to 7-11-2018
Manifestation à portée :
International
Focus Area :
Computational Sciences
Projet FnR :
FNR11349329 - Electrified Cooperative Bus System, 2016 (01/07/2017-30/06/2020) - Francesco Viti