Pregled bibliografske jedinice broj: 1051010
Data Analytics for Electric Vehicles: Charger Locations, Parking Policies, and Vehicle Routing
Data Analytics for Electric Vehicles: Charger Locations, Parking Policies, and Vehicle Routing // Proceedings of the 2nd International Workshop on Data Science (IWDS 2017) / Lončarić, Sven (ur.).
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017. str. 1-2 (poster, domaća recenzija, prošireni sažetak, znanstveni)
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Naslov
Data Analytics for Electric Vehicles: Charger
Locations, Parking Policies, and Vehicle Routing
Autori
Babić, Jurica ; Pevec, Dario ; Jelen, Goran ; Podobnik, Vedran
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni
Izvornik
Proceedings of the 2nd International Workshop on Data Science (IWDS 2017)
/ Lončarić, Sven - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017, 1-2
Skup
2nd International Workshop on Data Science (IWDS 2017)
Mjesto i datum
Zagreb, Hrvatska, 30.11.2017
Vrsta sudjelovanja
Poster
Vrsta recenzije
Domaća recenzija
Ključne riječi
Electric Vehicles ; Charging Infrastructure, Vehicle Routing
Sažetak
Electric vehicles (EVs) are becoming increasingly popular due to multiple reasons. First, technology is constantly advancing, and a wide acceptance of EVs is a step in the evolution of both public and private transport. Second, the transportation sector is one of the main contributors to CO2 emissions, which are the prime factor behind climate changes. Wider acceptance of EVs, and of the green transportation in general, is one of the possible solutions to lower those emissions that are part of the greenhouse gases (GHG). Finally, from the economy point of view, electric vehicles are sustainable, and the price of electricity is by order of magnitude lower than the price of fossil fuels. Therefore, in the next three paragraphs, we will present three research questions from the domain of EV management and coordination, as well as propose solutions for those problems which are based on data analytics.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo, Tehnologija prometa i transport
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb