This dataset is associated with the research report, "Developing an Efficient Dispatching Strategy to Support Commercial Fleet Electrification," and consists of real-world, typical fleet movements to evaluate the performance of the researchers' proposed dispatching strategy.
The adoption of battery electric trucks (BETs) has the potential to significantly reduce greenhouse gas emissions; however, challenges like shorter driving range and lower payload capacity necessitates a better understanding of energy-efficient dispatching of BET fleets. This project addresses that concern through developing an adaptive large neighborhood search algorithm that, through experimenting with a real-world case study, is shown to achieve significant energy consumption reduction.
