摘要
Transit electrification has emerged as an unstoppable force,driven by the considerable environmental benefits it offers.However,the adoption of battery electric buses is still impeded by their limited flexibility,a constraint that necessitates adjustments to current bus scheduling plans.Consequently,this study aspires to offer a thorough review of articles focused on battery electric bus scheduling.Moreover,we provide a comprehensive review of 42 papers on electric bus scheduling and related studies,with a focus on the most recent developments and trends in this research domain.Despite this extensive review,our findings reveal a paucity of research that takes into account the robustness of electric bus scheduling.Furthermore,we highlight the critical areas of considering diverse charging modes in electric bus scheduling and integrated planning of electric buses,which have not been adequately explored but hold the potential to greatly boost the effectiveness of electric bus systems.Through this synthesis,we hope that readers could acquire a thorough comprehension of the studies in this field and be motivated to address the identified research gaps,thus propelling the progress of transit electrification.
基金
supported by the National Natural Science Foundation of China(Nos.72101115,72371130,and 72001108)
Natural Science Foundation of Jiangsu(Nos.BK20210316 and BK20200483)
Fundamental Research Funds for the Central Universities(Nos.30923011016 and 30921011211).
作者简介
Corresponding author.Le Zhang,received the B.S.degree in mathe-matics and applied mathematics from East China Normal University,Shanghai,China,in 2014,and the Ph.D.degree from Hong Kong Polytechnic University,in 2020.She is currently an Associate Professor with the Nanjing Uni-versity of Science and Technology,China.E-mail:le.zhang@njust.edu.cn;Jiankun Peng,received the Ph.D.degree in mechanical engineering from the Beijing Insti-tute of Technology,Beijing,China,in 2016.From June 2016 to November 2019,he has worked as a Post-Doctoral Researcher with the National Engineering Laboratory of Electric Vehicles,Beijing Institute of Technology.He is currently an Associate Professor with the School of Transportation,Southeast University,Nanjing,China.He has more than ten years of research and working experience in modeling and control for new energy vehicle,where he has contributed more than 90 papers.His current research interests include energy management and optimization for electrified vehicles,con-nected and automated vehicle-highway systems,and optimal decision making for energy saving driving;Yu Han,received the Ph.D.degree from the Delft University of Technology in 2017.He is currently an Associate Professor with the School of Transportation,Southeast University.His research expertise involves traffic flow the-ory,traffic simulation,and road traffic control.He is interested in employing interdisciplinary approaches to manage and control traffic flows,including techniques like model predictive con-trol,reinforcement learning,and parallel learn-ing that integrate traffic domain knowledge with data-driven learning;Yadong Wang,received the Ph.D.degree from National University of Singapore(NUS)in 2017.He is currently a Professor at the School of Economics and Management,Nanjing Uni-versity of Science and Technology.His research lies in transportation operations management,especially in adopting operations research tech-niques to solve intriguing problems in multi-modal transportation system.
