2026-07-29T22:17:55Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:15302 2024-03-06T10:55:04Z ddc:004 open_access

Vehicle Dynamics in Pickup-And-Delivery Problems Using Electric Vehicles Ahmadi, Saman Tack, Guido Harabor, Daniel Kilby, Philip Electric vehicle routing pickup-and-delivery problem vehicle dynamics Electric Vehicles (EVs) are set to replace vehicles based on internal combustion engines. Path planning and vehicle routing for EVs need to take their specific characteristics into account, such as reduced range, long charging times, and energy recuperation. This paper investigates the importance of vehicle dynamics parameters in energy models for EV routing, particularly in the Pickup-and-Delivery Problem (PDP). We use Constraint Programming (CP) technology to develop a complete PDP model with different charger technologies. We adapt realistic instances that consider vehicle dynamics parameters such as vehicle mass, road gradient and driving speed to varying degrees. The results of our experiments show that neglecting such fundamental vehicle dynamics parameters can affect the feasibility of planned routes for EVs, and fewer/shorter charging visits will be planned if we use energy-efficient paths instead of conventional shortest paths in the underlying system model. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Saman Ahmadi and Guido Tack and Daniel Harabor and Philip Kilby 2021 Is Part Of LIPIcs, Volume 210, 27th International Conference on Principles and Practice of Constraint Programming (CP 2021) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/LIPIcs.CP.2021.11 urn:nbn:de:0030-drops-153020 https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.CP.2021.11 eng https://creativecommons.org/licenses/by/4.0/legalcode