Electric vehicle routing problems (E-VRPs) deal with routing a fleet of electric vehicles (EVs)
to serve a set of customers while minimizing an operational criterion, for example, cost or …

Electric vehicles are becoming more popular all over the world. With increasing battery
capacities and a growing fast-charging infrastructure, they are becoming suitable for long …

Electric vehicles (EVs) are a way to reduce emissions from mobility. To replace conventional
vehicles, EVs must be able to deliver a similar level of comfort on long-distance travel. A key …

We study the problem of minimizing overall trip time for battery electric vehicles (EVs) in road
networks. As battery capacity is limited, stops at charging stations may be inevitable. Careful …

Advanced decision-making models have been recently developed to integrate various
aspects of a supply chain, ie, production, distribution, shipping, and routing. These have …

The increasing scale of electric vehicles (EVs) and their stochastic charging behavior have
resulted in a growing coupling between the transportation network and the grid …

We introduce the Targeted Multiobjective Dijkstra Algorithm (T‐MDA), a label setting
algorithm for the One‐to‐One Multiobjective Shortest Path (MOSP) Problem. It is based on …

While battery electric vehicles (EVs) are on the advance, the broad customer basis is still
concerned about battery electric range, a phenomenon commonly known as range anxiety …

We study the problem of computing paths that minimize energy consumption of a battery
electric vehicle. For that, we must cope with specific properties, such as regenerative braking …

This paper investigates a variant of the traveling salesman problem (TSP) with speed
optimization for a plug-in hybrid electric vehicle (PHEV), simultaneously optimizing the …