In modern smart cities, mobility based on Electric Vehicles (EVs) is considered a key factor to reduce carbon emissions and pollution. However, despite the global interest and the investments worldwide, the user acceptance level is still low, mainly due to the lack of charging services support. This is one of the main causes for the so called “EV driver's anxiety”, and has led people to consider EV mobility suitable only for short routes. To contrast this issue, we propose here a route planner application supporting EV mobility also on medium and long routes, through prediction of range and charging stops. Our application estimates the minimal energy consumption path, by also considering the overhead to reach the charging stations along the...
A number of decision support tools facilitating the use of Electric Vehicles (EVs) have been recentl...
One of the barriers for the adoption of Electric Vehicles (EVs) is the anxiety around the limited dr...
This paper addresses the challenge of efficiently and accurately predicting an electric vehicle's at...
In modern smart cities, mobility based on Electric Vehicles (EVs) is considered a key factor to redu...
In most countries the share of circulating electric vehicles (EV) is less than 1%. Beside cost issue...
International audienceIn the latest few years, lot of efforts have been done to pave the way to sust...
International audienceIn the latest few years, lot of efforts have been done to pave the way to sust...
Electric Vehicle (EV) requires new driver information systems because drivers need more information....
Abstract—Although electric vehicles are attracting increasing interest from consumers and automakers...
Abstract: Electric Vehicle (EV) requires new driver information systems because drivers need more in...
Nowadays, in the field of mobility, there is much talk about the concept of "Smart Mobility" and the...
According to several recent studies, the overhead caused by charging operations to the users' daily ...
Abstract: The electric vehicle market is increasing rapidly. Smart cars and AI integrated cars are u...
This paper presents a recommender system responsible for processing information that will help the d...
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommo...
A number of decision support tools facilitating the use of Electric Vehicles (EVs) have been recentl...
One of the barriers for the adoption of Electric Vehicles (EVs) is the anxiety around the limited dr...
This paper addresses the challenge of efficiently and accurately predicting an electric vehicle's at...
In modern smart cities, mobility based on Electric Vehicles (EVs) is considered a key factor to redu...
In most countries the share of circulating electric vehicles (EV) is less than 1%. Beside cost issue...
International audienceIn the latest few years, lot of efforts have been done to pave the way to sust...
International audienceIn the latest few years, lot of efforts have been done to pave the way to sust...
Electric Vehicle (EV) requires new driver information systems because drivers need more information....
Abstract—Although electric vehicles are attracting increasing interest from consumers and automakers...
Abstract: Electric Vehicle (EV) requires new driver information systems because drivers need more in...
Nowadays, in the field of mobility, there is much talk about the concept of "Smart Mobility" and the...
According to several recent studies, the overhead caused by charging operations to the users' daily ...
Abstract: The electric vehicle market is increasing rapidly. Smart cars and AI integrated cars are u...
This paper presents a recommender system responsible for processing information that will help the d...
© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommo...
A number of decision support tools facilitating the use of Electric Vehicles (EVs) have been recentl...
One of the barriers for the adoption of Electric Vehicles (EVs) is the anxiety around the limited dr...
This paper addresses the challenge of efficiently and accurately predicting an electric vehicle's at...