2022 Early Hearing Detection & Intervention Virtual Conference
March 13 - 15, 2022
2/26/2018 | 2:15 PM - 3:05 PM | A Cost-Competitiveness Analysis of Charging Infrastructure for Electric Bus Operations | Summit A
A Cost-Competitiveness Analysis of Charging Infrastructure for Electric Bus Operations
This study investigates the cost competitiveness of different types of charging infrastructure, including charging stations, charging lanes (via charging-while-driving technologies) and battery swapping stations, for supporting an electric public transit system. To this end, we first establish mathematical models to investigate the optimal deployment of various charging facilities along the transit line and determine the optimal sizes of the electric bus fleet and their batteries to minimize the total infrastructure and fleet cost while guaranteeing the service frequency and satisfying charging need of the transit system. We then conduct an empirical analysis utilizing available real-world data. Results suggest that the service frequency, circulation length, and operating speed of a transit system may have a great impact on the cost competitiveness of different charging infrastructure; and charging lanes enabled by the currently available inductive wireless charging technology are cost competitive for most of the existing bus rapid transit corridors
- Present cost-competitiveness analyses of different types of charging infrastructure for electric bus operations
- Explore factors that will have a great impact on the cost competitiveness of different charging infrastructure
- Identify the key to making charging lanes more competitive for transit systems
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Presenters/Authors
Zhibin Chen
(), University of Michigan, chipin@umich.edu;
Zhibin Chen received his Ph.D. in transportation engineering from the University of Florida in 2017. He is currently a Research Fellow in the Department of Civil and Environmental Engineering at the University of Michigan. His research interests include transportation network modeling and optimization, transportation economics, intelligent transportation system, and emerging vehicle technologies.
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Yafeng Yin
(), University of Michigan, yafeng@umich.edu;
Dr. Yafeng Yin is a Professor at Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor. He works in the area of transportation systems analysis and modeling, and has published approximately 100 refereed papers in leading academic journals. Dr. Yin is the Editor-in-Chief of Transportation Research Part C: Emerging Technologies, one of the leading academic journals in the transportation domain. He is also an Associate Editor of Transportation Science, and serves on the editorial boards for another four transportation journals such as Transportation Research Part B: Methodological. He is a member of Transportation Network Modeling Committee, Transportation Economics Committee, and International Cooperation Committee of Transportation Research Board. Dr. Yin is also the Immediate Past President of Chinese Overseas Transportation Association. Dr. Yin received his Ph.D. from the University of Tokyo, Japan in 2002, his master’s and bachelor’s degrees from Tsinghua University, Beijing, China in 1996 and 1994 respectively.
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Ziqi Song
(), Utah State University, ziqi.song@usu.edu;
Dr. Song is an Assistant Professor in the Department of Civil and Environmental Engineering at Utah State University (USU). He is the Director of the Transportation Infrastructure Management and Engineering laboratory (TIMELab) at USU and the faculty advisor of USU Institute of Transportation Engineers (ITE) student chapter. His research interests include transportation network modeling, transportation electrification, traffic operations and safety, and highway maintenance and asset management. Dr. Song graduated with a B.E. in Transportation Engineering from Southeast University, China. He received an M.Phil. in Civil Engineering from the University of Hong Kong, and got a Ph.D. in Civil and Coastal Engineering from University of Florida.
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