This study aims to start a discussion on the topic by exploring three relevant issues: the impact of EVs’ operating costs on urban size, the space requirements of charging facilities, the land demand of energy production through renewables.

In this paper, the authors propose a charging coordination system based on Reinforcement Learning using an artificial neural network as a function approximator.

The aim of this paper is to discuss different techniques/methods available currently to detect electric and combustion vehicles (EVs) and their comparative study to find the superior method of detection.

Automated Electric Transportation (AET) is an innovative concept that aims to integrate energy, vehicle, highway, and communication infrastructures. It provides an electrified transportation system to support in-motion energy transfer through wireless charging of inductive coupling in the highway.

This research provides a case study for Istanbul using real-time global positioning data from fossil-fuel taxis currently operational in the city. This case study tests the performance of the proposed infrastructure, determined by the framework, by simulating a taxi fleet of the same size as the one currently operating in Istanbul.

This paper provides a comprehensive review of the literature and provides a detailed analysis of the current development of electro-mobility in Europe, assessing social, economic, and environmental aspects under a circular economy context.

As a key enabler in the green transport system, the popularity of Electric Vehicles (EV) has attracted attention from academia and industrial communities. However, the driving range of EVs is inevitably affected by the insufficient battery volume, as such EV drivers may experience trip discomfort due to a long battery charging time (under traditional plug-in charging service).

This study focuses on a modeling framework to support mobility planners and energy providers in the sustainable development of electric mobility in urban areas.

The study used two sets of data: information on infrastructure and traffic management; and the recorded road network loads and traffic volumes generated by a given shopping centre—the E. Leclerc shopping centre (a vital traffic generator within the city of Łódź, Poland).

Personal transport is essential in our society, and the 2020 pandemic has reinforced this situation. At the same time, transportation contributes to local emissions, which need to be reduced in the face of climate change. Changing from vehicles with internal combustion engines to light electric vehicles could be one promising approach.