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Data Analytics for Electric Vehicles: Charger Locations, Parking Policies, and Vehicle Routing


Babić, Jurica; Pevec, Dario; Jelen, Goran; Podobnik, Vedran
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: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. str. 1-2 (poster, domaća recenzija, prošireni sažetak, ostalo)


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, ostalo

Izvornik
Proceedings of the 2nd International Workshop on Data Science (IWDS 2017) / Lončarić, Sven - Zagreb : University of Zagreb, Faculty of Electrical Engineering and Computing, 2017, 1-2

Skup
2nd International Workshop on Data Science (IWDS 2017)

Mjesto i datum
Zagreb, Croatia, 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

Profili:

Avatar Url Vedran Podobnik (autor)

Avatar Url Jurica Babić (autor)

Avatar Url Dario Pevec (autor)

Citiraj ovu publikaciju

Babić, Jurica; Pevec, Dario; Jelen, Goran; Podobnik, Vedran
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: University of Zagreb, Faculty of Electrical Engineering and Computing, 2017. str. 1-2 (poster, domaća recenzija, prošireni sažetak, ostalo)
Babić, J., Pevec, D., Jelen, G. & Podobnik, V. (2017) Data Analytics for Electric Vehicles: Charger Locations, Parking Policies, and Vehicle Routing. U: Lončarić, S. (ur.)Proceedings of the 2nd International Workshop on Data Science (IWDS 2017).
@article{article, editor = {Lon\v{c}ari\'{c}, S.}, year = {2017}, pages = {1-2}, keywords = {Electric Vehicles, Charging Infrastructure, Vehicle Routing}, title = {Data Analytics for Electric Vehicles: Charger Locations, Parking Policies, and Vehicle Routing}, keyword = {Electric Vehicles, Charging Infrastructure, Vehicle Routing}, publisher = {University of Zagreb, Faculty of Electrical Engineering and Computing}, publisherplace = {Zagreb, Croatia} }