TY - JOUR
AU1 - Ma, Tai-Yu
AU2 - Fang, Yumeng
AB - Abstract: The accelerated electrification of transport systems with EVs has brought new challenges for charging scheduling, fleet management, and charging infrastructure location and configuration planning. In this review, we have provided a systematic review of the recent development in strategic, tactical, and operational decisions for demand responsive transport system planning using electric vehicles (EV-DRT). We have summarized recent developments in mathematical modeling approaches and identified future research directions. A list of existing open-access datasets, numerical test instances, and software are provided for future research in EV-DRT and related problems.
TI - Survey of charging scheduling, fleet management, and location planning of charging stations for electrified demand-responsive transport systems: methodologies and recent developments
JF - Electrical Engineering and Systems Science
DA - 2021-12-08
UR - https://www.deepdyve.com/lp/arxiv-cornell-university/survey-of-charging-scheduling-fleet-management-and-location-planning-CmQ6OFovjv
VL - 2021
IS - 2112
DP - DeepDyve
ER -