Reference : Mixed-fleet single-terminal bus scheduling problem: Modelling, solution scheme and po...
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
Sustainable Development
http://hdl.handle.net/10993/39873
Mixed-fleet single-terminal bus scheduling problem: Modelling, solution scheme and potential applications
English
Rinaldi, Marco mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
Picarelli, Erika mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
D'Ariano, Andrea mailto []
Viti, Francesco mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit >]
In press
Omega: the International Journal of Management Science
Elsevier
Yes
International
0305-0483
1873-5274
Oxford
United Kingdom
[en] Public transport ; Vehicle Scheduling ; Mixed fleet
[en] Reducing pollutant emissions and promoting sustainable mobility solutions, including Public Transport (PT), are increasingly becoming key objectives for policymakers worldwide. In this work we develop an optimal vehicle scheduling approach for next generation PT systems, considering the instance of mixed electric / hybrid fleet. Our objective is that of investigating to what extent electrification, coupled with optimal fleet management, can yield operational cost savings for PT operators. We propose a Mixed In- teger Linear Program (MILP) to address the problem of optimal scheduling of a mixed fleet of electric and hybrid / non-electric buses, coupled with an ad-hoc decomposition scheme aimed at enhancing the scalability of the proposed MILP. Two case studies arising from the PT network of the city of Luxem- bourg are employed in order to validate the model; sensitivity analysis to fleet design parameters is performed, specifically in terms of fleet size and fleet composition. Conclusions point to the fact that careful modelling and handling of mixed-fleet conditions are necessary to achieve operational savings, and that marginal savings gradually reduce as more conventional buses are replaced by their electric counterparts. We believe the methodology proposed may be a key part of advanced decision support systems for policymakers and operators that are dealing with the on-going transition from conventional bus fleets towards greener transport solutions.
Researchers ; General public
http://hdl.handle.net/10993/39873
10.1016/j.omega.2019.05.006
FnR ; FNR11349329 > Francesco Viti > eCoBus > Electrified Cooperative Bus System > 01/07/2017 > 30/06/2020 > 2016

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