TY - JOUR
T1 - Electrification of a citywide bus network
T2 - A data-driven micro-simulation approach
AU - Wang, Shiqi
AU - Li, Yuze
AU - Chen, Anthony
AU - Zhuge, Chengxiang
N1 - Funding Information:
The work described in this paper was jointly supported by the National Natural Science Foundation of China (52002345), the research grants from the Research Institute for Sustainable Urban Development (1-BBWF and 1-BBWR), the Smart Cities Research Institute (CDAR and CDA9) and the funding for Project of Strategic Importance provided by The Hong Kong Polytechnic University (1-ZE0A).
Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/3
Y1 - 2023/3
N2 - This paper developed a data-driven micro-simulation optimization model to deploy charging infrastructure for a large-scale electric bus network, considering both traditional charging posts and wireless charging lanes (WCLs). The optimization model has two objectives: 1) minimize the total system cost and 2) maximize the level of service. We used New York City as the study area, and one-day GPS trajectories of 3,133 buses were analyzed to develop the micro-simulation approach, so as to represent the bus operation well. The results showed that the scenario with both charging posts and WCLs deployed had a significantly higher level of service (with its total delay time being 48.11% shorter), more energy saved and fewer emissions than the scenario with only charging posts deployed, though its total cost was 0.76% higher. Moreover, the sensitivity analysis results show that the parameters associated with electric buses and charging facilities could heavily influence the outputs of interest.
AB - This paper developed a data-driven micro-simulation optimization model to deploy charging infrastructure for a large-scale electric bus network, considering both traditional charging posts and wireless charging lanes (WCLs). The optimization model has two objectives: 1) minimize the total system cost and 2) maximize the level of service. We used New York City as the study area, and one-day GPS trajectories of 3,133 buses were analyzed to develop the micro-simulation approach, so as to represent the bus operation well. The results showed that the scenario with both charging posts and WCLs deployed had a significantly higher level of service (with its total delay time being 48.11% shorter), more energy saved and fewer emissions than the scenario with only charging posts deployed, though its total cost was 0.76% higher. Moreover, the sensitivity analysis results show that the parameters associated with electric buses and charging facilities could heavily influence the outputs of interest.
KW - Electric bus
KW - Micro-simulation approach
KW - Trajectory data
KW - Wireless charging
UR - http://www.scopus.com/inward/record.url?scp=85147607340&partnerID=8YFLogxK
U2 - 10.1016/j.trd.2023.103644
DO - 10.1016/j.trd.2023.103644
M3 - Journal article
AN - SCOPUS:85147607340
SN - 1361-9209
VL - 116
JO - Transportation Research Part D: Transport and Environment
JF - Transportation Research Part D: Transport and Environment
M1 - 103644
ER -