Delivery routing for electric vehicles with en-route mobile battery swapping

The following instances are originally presented in the paper <i>Delivery routing for electric vehicles with en-route mobile battery swapping</i>.The data includes 148 instances corresponding to different scales and scenarios, which is based on that of Raeesi and Zografos (2020). These instances are categorised based on the geographical location of customers into three types: clustered (C), randomly distributed (R), and a combination of clustered and randomly distributed (RC). Furthermore, each instance is divided into two subsets: type 1 and type 2. Type 1 features a shorter planning horizon and tighter time windows, whereas type 2 is the opposite. Additionally, four instances from a real-world case provided by JD.com, one of the largest e-commerce companies in China. These instances include 150 and 200 customer sites.