Most of the existing electric vehicle (EV) charging navigation methods do not simultaneously
take into account the electric vehicle charging destination optimization and path planning …

A coordinated operation of smart grid (SG) and intelligent transportation system (ITS)
provides electric vehicle (EV) owners with a myriad of power and transportation network …

This paper proposes an optimal route and charging station selection (RCS) algorithm based
on model-free deep reinforcement learning (DRL) to overcome the uncertainty issues of the …

Abstract Vehicle-to-grid (V2G) technology is a promising solution to energy supply security
issues associated with future electric grids. A decisive factor to successful V2G is effective …

Finding effective charging techniques is necessary as the number of electric vehicles (EVs)
on the transportation network rises. On this basis, mobile charging stations (MCSs) play a …

We study the charging routing problem faced by a smart electric vehicle (EV) that looks for
an EV charging station (EVCS) to fulfill its battery charging demand. Leveraging the real …

Autonomous electric vehicles (AEVs) are revolutionizing the world of smart city
transportation due to their low-resource consumption, improved traffic efficiency, zero carbon …

With the popularization and popularization of electric vehicles, the interaction between
electric vehicles and power grid and transportation networks is getting deeper and deeper …

Transportation system and power grid are tightly coupled by electric vehicles (EVs) and
charging facilities. Finding the optimal charging path is crucial to mitigate EV user's mileage …

With the increasing popularization and competition of electric vehicles (EVs), EV users often
have anxiety on their trip to find better charging stations with less travel distance. An …