Abstract
To counteract the constantly increasing CO2 emissions, especially in local public transport, more environmentally friendly electric buses are intended to gradually replace buses with combustion engines. However, their current short range makes charging infrastructure planning indispensable. For a cost-minimal allocation of electric vehicles to service trips, the consideration of vehicle scheduling is also crucial. This paper addresses the modeling and implementation of a simultaneous solution method for vehicle scheduling and charging infrastructure planning for electric buses. The Savings algorithm is used to construct an initial solution, while the Variable Neighborhood Search serves as an improvement heuristic. The focus is on a comparison between partial and complete charging processes of the vehicle battery within the solution method. An evaluation based on real test instances shows that the procedure implemented leads to large cost savings. Oftentimes, the consideration of partial charging processes is superior to the exclusive use of complete charging processes.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.