Pregled bibliografske jedinice broj: 1000252
A survey on the electric vehicle routing problem: variants and solution approaches
A survey on the electric vehicle routing problem: variants and solution approaches // Journal of advanced transportation, 2019 (2019), 5075671, 48 doi:10.1155/2019/5075671 (međunarodna recenzija, pregledni rad, znanstveni)
CROSBI ID: 1000252 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A survey on the electric vehicle routing problem:
variants and solution approaches
Autori
Erdelić, Tomislav ; Carić, Tonči
Izvornik
Journal of advanced transportation (0197-6729) 2019
(2019);
5075671, 48
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, znanstveni
Ključne riječi
electric vehicles ; vehicle routing ; energy consumption ; heuristics ; metaheuristics ; review
Sažetak
In order to perform high-quality and on-time delivery in logistic distribution processes, it is necessary to efficiently manage the delivery fleet. Nowadays, due to the new policies and regulations related to greenhouse gas emission in the transport sector, logistic companies are paying higher penalties for each emission gram of CO2/km. With electric vehicle market penetration, many companies are evaluating the integration of electric vehicles in their fleet, as they do not have local greenhouse gas emissions, produce minimal noise and are independent of the fluctuating oil price. The well-researched Vehicle Routing Problem (VRP) is extended to the Electric Vehicle Routing Problem (E-VRP), which takes into account specific characteristics of electric vehicles. In this paper, a literature review on recent developments regarding the E-VRP is presented. The challenges that emerged with the integration of electric vehicles in the delivery processes are described, together with electric vehicle characteristics and recent energy consumption models. Several variants of the E-VRP and related problems are observed. To cope with the new routing challenges in E-VRP, efficient VRP heuristics and metaheuristics had to be adapted. An overview of the state-of-the-art procedures for solving the E-VRP and related problems are presented.
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)
KK.01.1.1.01.0009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (EK )
KK.01.2.1.01.0120
Ustanove:
Fakultet prometnih znanosti, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus
Uključenost u ostale bibliografske baze podataka::
- Transportation Research Information Services - TRIS