About
Dr. Chaoru Lu is currently an Associate Professor of smart mobility at the Department of Civil Engineering and Energy Technology. His research work mainly lies in intelligent transport system, traffic flow theory, autonomous vehicle, and transport electrification.
Education
Ph.D. Iowa State University,2017
MS Texas A and M University-Kingsville, 2014
BS Hunan University of Science and Technology, China , 2011
Research Areas
intelligent transport system, traffic flow theory, autonomous vehicle, and transport electrification
Field of study
Public transport Transport Modelling Intelligent Transport Systems Zero Emission Transport Intelligent Transportation Systems
Research groups
Research projects
Ongoing research projects
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ConStruct
The ConStruct project aims to develop a cross-continental alliance for high-quality education at the master’s level in transport infrastructure engineering.
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InfraGuard
The primary objective is to solidify the developed framework for response analysis of critical sea-crossing transport infrastructure and assessment of traffic/vehicle performance, elevate the technology readiness level (TRL), and pave the road toward commercialization.
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Net-Zero Future project
Net-Zero Future – An International Alliance to Minimize Built Environment’s Carbon Footprint.
Publications and research
Scientific publications
Liu, Xingyu; Shi, Jin;
Dai, Jian
; Wang, Yingjie;
Lu, Chaoru
(2025).
Correspondence Between Alignment Wavelength and Vehicle Response Wavelength of High-Speed Rails.
International Journal of Structural Stability and Dynamics.
https://doi.org/10.1142/S0219455426501191
Liu, Chenhui; Su, Meiling; Ma, Zhuanzhuan; Long, Kejun;
Lu, Chaoru
(2024).
Exploration of the Traffic Safety of Battery Electric Vehicles: A Case Study of Tesla Vehicle-Involved Crashes in Pennsylvania, USA.
Transportation Research Record.
https://doi.org/10.1177/03611981241283445
Wang, Yongxing; Liao, Feixiong; Bi, Jun;
Lu, Chaoru
(2024).
Optimal battery electric bus system planning considering heterogeneous vehicles, opportunity charging, and battery degradation.
Renewable Energy.
Vol. 237.
https://doi.org/10.1016/j.renene.2024.121596
Teimoori, Zeinab; Yassine, Abdulsalam;
Lu, Chaoru
(2024).
Deep Transfer Learning for Detecting Electric Vehicles Highly Correlated Energy Consumption Parameters.
IEEE Transactions on Artificial Intelligence (TAI).
Vol. 5.
https://doi.org/10.1109/TAI.2024.3358796
Zhou, Guang-Jing; Xie, Dong-Fan; Zhao, Xiao-Mei;
Lu, Chaoru
; Zhou, Cheng-Dong; Zhang, Chao-Yang
(2024).
Collaborative optimization of vehicle scheduling and speed regulation for autonomous customized bus systems.
Applied Mathematical Modelling.
Vol. 128.
https://doi.org/10.1016/j.apm.2024.01.032
Wu, Shan; Hadachi, Amnir;
Lu, Chaoru
; Vivet, Damien
(2023).
MOTT: A new model for multi-object tracking based on green learning paradigm.
AI Open.
Vol. 4.
https://doi.org/10.1016/j.aiopen.2023.09.002
Ma, Qinglu; Wang, Xinyu; Zhang, Shu;
Lu, Chaoru
(2023).
Distributed Self-Organizing Control of CAVs Between Multiple Adjacent-Ramps.
IEEE Transactions on Intelligent Transportation Systems (T-ITS).
Vol. 24.
https://doi.org/10.1109/TITS.2023.3244185
Sai, Qiuyue; Bi, Jun; Zhao, Xiaomei; Guan, Wei;
Lu, Chaoru
(2023).
Joint optimization of infrastructure deployment and fleet operations for an electric carsharing system by considering multi-type vehicles.
Journal of Cleaner Production.
Vol. 414.
https://doi.org/10.1016/j.jclepro.2023.137681
Wu, Shan; Hadachi, Amnir;
Lu, Chaoru
; Vivet, Damien
(2023).
Transformer for multiple object tracking: Exploring locality to vision.
Pattern Recognition Letters.
Vol. 170.
https://doi.org/10.1016/j.patrec.2023.04.016
Sai, Qiuyue; Bi, Jun; Zhao, Xiaomei; Guan, Wei;
Lu, Chaoru
(2023).
Understanding Travel Behavior of Electric Car-Sharing Users under Impact of COVID-19.
World Electric Vehicle Journal.
Vol. 14.
https://doi.org/10.3390/wevj14060144
