In recent years, great efforts have been made to reduce greenhouse gas emissions by vehicles. Petroleum products produces greenhouse gas emissions, therefore reducing the use of these products can make a major contribution to reducing pollution. The Fleet Size and Mix Vehicle Routing Problem is one of the most widely used routing branches. In this problem, there are vehicle with different capac...

In this paper, a new approach to risk minimizing vehicle routing and scheduling problem is presented. Forwarding agents or companies have two main concerns for the collection of high-risk commodities like cash or valuable commodities between the central depot and the customers: one; because of the high value of the commodities transported, the risk of ambush and robbery are very high. Two; the ...

In the area of route planning for battery-electric vehicles, previous works have focused on finding routes that are optimal regarding energy consumption and/or travel time, only considering a fixed speed level for each road segment, and thus ignoring the staggering energy consumption savings potential attainable through variation of driving speed. While computationally more tractable, the resul...

The past decade has seen a rapid penetration of electric vehicles (EVs) as more and logistics transportation companies start to deploy for service provision. In order model the operations commercial EV fleet, we utilize routing problem with time windows (EVRPTW). this paper, propose an end-to-end deep reinforcement learning framework solve EVRPTW. particular, develop attention incorporating poi...

Abstract Motivated by express and e-commerce companies’ distribution practices, we study a two-echelon electric vehicle routing problem. In this problem, fuel-powered vehicles are used to transport goods from depot intermediate facilities (satellites) in the first echelon, whereas vehicles, which have limited driving ranges need be recharged at recharging stations, transfer satellites customers...

this paper proposes a novel decision making framework for an electricity retailer to procure its electric demand in a bilateral-pool market in presence of charging and discharging of electric vehicles (evs). the operational framework is a two-stage programming model in which at the first stage, the retailer and ev aggregator do their medium-term planning. determination of retailer's optimum sel...

Effective route planning for battery electric commercial vehicle (ECV) fleets has to take into account their limited autonomy and the possibility of visiting recharging stations during the course of a route. In this paper, we consider four variants of the electric vehicle-routing problem with time windows: (i) at most a single recharge per route is allowed, and batteries are fully recharged on ...