This paper presents a survey of existing literature on vehicular communications for EV charging coordination and management. The communication requirements and feasible communication technologies for vehicular communication are first discussed in details.

Electric vehicles have shown to be a feasible mobility option that reduces emissions and hence contributes to the transportation sector's decarbonization. Vehicle fleets are a promising starting point for increased market penetration. With this study, the authors address the issue of fleet electrification by analyzing a data set of 81 empirical mobility patterns of commercial fleets.

Car-sharing is gaining popularity throughout the world and has emerged as a competitive technology for urban mobility. Combined with the upward trend in vehicle electrification and the promise of automation, it is expected that urban travel will change in fundamental ways in the near future.

Germany has taken steps to encourage the adoption of electric vehicles, but adoption has been modest thus far. A wider range of issues and stakeholder priorities must be considered when assessing the decarbonization of the transportation sector.

In this research, the authors develop a total cost minimization model for demand-responsive door-to-door shared transportation services, including operator and user costs. Optimization variables are vehicle size and fleet size for operation with human-driven and automated vehicles.

The purpose of this article is to indicate in which, specifically, municipalities, according to the act, electric vehicles charging outlets are to be located.

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.