Pregled bibliografske jedinice broj: 1168703
Goods Delivery with Electric Vehicles: Electric Vehicle Routing Optimization with Time Windows and Partial or Full Recharge
Goods Delivery with Electric Vehicles: Electric Vehicle Routing Optimization with Time Windows and Partial or Full Recharge // Energies, 15 (2022), 1; 285, 27 doi:10.3390/en15010285 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1168703 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Goods Delivery with Electric Vehicles: Electric
Vehicle Routing Optimization with Time Windows and
Partial or Full Recharge
Autori
Erdelić, Tomislav ; Carić, Tonči
Izvornik
Energies (1996-1073) 15
(2022), 1;
285, 27
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
electric vehicle ; goods delivery ; vehicle routing problem ; metaheuristics ; charging station ; electromobility
Sažetak
With the rise of the electric vehicle market share, many logistic companies have started to use electric vehicles for goods delivery. Compared to the vehicles with an internal combustion engine, electric vehicles are considered as a cleaner mode of transport that can reduce greenhouse gas emissions. As electric vehicles have a shorter driving range and have to visit charging stations to replenish their energy, the efficient routing plan is harder to achieve. In this paper, the Electric Vehicle Routing Problem with Time Windows (EVRPTW), which deals with the routing of electric vehicles for the purpose of goods delivery, is observed. Two recharge policies are considered: full recharge and partial recharge. To solve the problem, an Adaptive Large Neighborhood Search (ALNS) metaheuristic based on the ruin-recreate strategy is coupled with a new initial solution heuristic, local search, route removal, and exact procedure for optimal charging station placement. The procedure for the O(1) evaluation in EVRPTW with partial and full recharge strategies is presented. The ALNS was able to find 38 new best solutions on benchmark EVRPTW instances. The results also indicate the benefits and drawbacks of using a partial recharge strategy compared to the full recharge strategy.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Projekti:
IP-2018-01-8323 - Adaptivno i prediktivno upravljanje utičnim hibridnim električnim vozilima (ACHIEVE) (Deur, Joško, HRZZ - 2018-01) ( CroRIS)
Ustanove:
Fakultet prometnih znanosti, Zagreb
Poveznice na cjeloviti tekst rada:
Pristup cjelovitom tekstu rada doi www.mdpi.comPoveznice na istraživačke podatke:
www.fpz.unizg.hrCitiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus