详情

Developing an Efficient Dispatching Strategy to Support Commercial Fleet Electrification

项目名称：	Developing an Efficient Dispatching Strategy to Support Commercial Fleet Electrification
摘要：	Driven by new policies and regulations concerning emissions of greenhouse gases from the transportation sector, battery-electric trucks (BETs) are considered one of the promising solutions to sustainable freight transportation. However, due to their constraints of vehicle range and charging time, BET fleet operations (e.g., dispatching, scheduling, routing) will need to be radically changed compared to a regular (diesel-powered) truck fleets. This project will address the dispatching problem of a generalized BET fleet, in the form of an (electric) vehicle routing problem (VRP) with pick-up and delivery windows. Since the BET fleet dispatching problem is sufficiently complex, existing approaches are not solvable for large fleets in a computation ally efficient manner. To overcome these limitations, the researchers propose a hierarchical strategy, which incorporates dispatching zone partitioning (at a high level) and metaheuristics-based vehicle scheduling/routing to optimize the itineraries of the BET fleet (at the lower level) in terms of operational costs. The proposed algorithm considers the fleet size, variations in the BET’s all electric range, the BET’s cargo capacity, availability of charging facilities/capabilities, and pickup/drop-off sequence. Furthermore, the researchers will apply the proposed strategy to real-world fleet dispatching scenarios and compare its performance with the baseline strategies deployed by the logistics company.
状态：	Active
资金：	90000
资助组织：	Office of the Assistant Secretary for Research and Technology；National Center for Sustainable Transportation
管理组织：	National Center for Sustainable Transportation<==>University of California, Riverside
项目负责人：	Iacobucci, Lauren
执行机构：	National Center for Sustainable Transportation<==>University of California, Riverside
主要研究人员：	Wu, Guoyuan；Boriboonsomsin, Kanok
开始时间：	20220701
预计完成日期：	20230630
主题领域：	Energy；Environment；Freight Transportation；Highways；Operations and Traffic Management；Planning and Forecasting；Vehicles and Equipment