Over the past decade, electric vehicles (EVs) have been considered in a growing number of
models and methods for vehicle routing problems (VRPs). This study presents a …

Providing ride-hailing services with electric vehicles can help reduce greenhouse gas
emissions and solve the last mile problem. This paper develops a reinforcement learning …

In this article, we propose a variant of the electric vehicle routing problem considering
explicitly the intermediate nodes. Ultimately aiming to provide an optimal routing plan for the …

We propose a solution for Electric Vehicles (EVs) energy management in smart cities, where
a deep learning approach is used to enhance the energy consumption of electric vehicles by …

We study the feasibility of using electric vehicles in online, high-capacity ridepooling
systems. Prior work has shown that online algorithms perform well for centrally-controlled …

In ridepooling systems with electric fleets, charging is a complex decision-making process.
Most electric vehicle (EV) taxi services require drivers to make egoistic decisions, leading to …

A major challenge faced by Electric Vehicle users is to get an estimate of the time taken by
the route that depends on parameters such as charger time, geography and temperature …

The electric vehicle (EV) industry is growing at a rapid pace but lacks in getting the
customers' trust and to meet the economic feasibility at certain points. To improve this …

A vehicle allocation management method, which is executed by a computer to manage an
allocation of service vehicles used in a mobility service to a user, includes instructions to be …

In dynamic ridesharing systems which are operated with an electric fleet, charging is an
essential but complex decision-making process. Most contemporary electric vehicle (EV) taxi …