Data Analytics for Electric Vehicles: Charger Locations, Parking Policies, and Vehicle Routing (CROSBI ID 688200)
Prilog sa skupa u zborniku | prošireni sažetak izlaganja sa skupa | domaća recenzija
Podaci o odgovornosti
Babić, Jurica ; Pevec, Dario ; Jelen, Goran ; Podobnik, Vedran
engleski
Data Analytics for Electric Vehicles: Charger Locations, Parking Policies, and Vehicle Routing
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.
Electric Vehicles ; Charging Infrastructure, Vehicle Routing
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Podaci o prilogu
1-2.
2017.
objavljeno
Podaci o matičnoj publikaciji
Lončarić, Sven
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
Podaci o skupu
2nd International Workshop on Data Science (IWDS 2017)
poster
30.11.2017-30.11.2017
Zagreb, Hrvatska