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dc.creatorPolychronis G., Lalis S.en
dc.date.accessioned2023-01-31T09:50:24Z
dc.date.available2023-01-31T09:50:24Z
dc.date.issued2019
dc.identifier10.5220/0007673900520063
dc.identifier.isbn9789897583742
dc.identifier.urihttp://hdl.handle.net/11615/78300
dc.description.abstractWe study the vehicle routing problem for a system where there is some uncertainty regarding both the cost of travel and the refueling opportunities. Travel cost stands for the energy spent by the vehicle to move between locations. Refueling opportunities are offered at known locations where the vehicle can harvest or re-gain some of the lost energy. The objective is to visit a set of predefined locations without exhausting the energy of the vehicle. We describe the problem in a formal way, and propose a heuristic algorithm for taking routing decisions at runtime. We evaluate the algorithm for a grid topology as a function of the number of locations to be visited and the autonomy degree of the vehicle, showing that the proposed algorithm achieves good results as long as the energy margins are not very tight. © 2019 by SCITEPRESS - Science and Technology Publications, Lda.en
dc.language.isoenen
dc.sourceVEHITS 2019 - Proceedings of the 5th International Conference on Vehicle Technology and Intelligent Transport Systemsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85067548030&doi=10.5220%2f0007673900520063&partnerID=40&md5=f0bf7b1745c8fa491880bc97668b33dc
dc.subjectHeuristic algorithmsen
dc.subjectIntelligent systemsen
dc.subjectIntelligent vehicle highway systemsen
dc.subjectLocationen
dc.subjectTraffic controlen
dc.subjectTraveling salesman problemen
dc.subjectVehicle routingen
dc.subjectDynamic routesen
dc.subjectDynamic Vehicle Routingen
dc.subjectEnergy marginen
dc.subjectGrid topologyen
dc.subjectRouting decisionsen
dc.subjectTravel costsen
dc.subjectUncertaintyen
dc.subjectVehicle Routing Problemsen
dc.subjectVehiclesen
dc.subjectSciTePressen
dc.titleDynamic vehicle routing under uncertain travel costs and refueling opportunitiesen
dc.typeconferenceItemen


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