Zhibin Chen

Zhibin Chen
Area Head of Engineering, Assistant Professor of Engineering, NYU Shanghai; Global Network Assistant Professor, Tandon School of Engineering, NYU
Email
zc23@nyu.edu
Room
S755

Zhibin Chen is the Area Head of Engineering, an Assistant Professor of Engineering at NYU Shanghai, and a Global Network Assistant Professor at the Tandon School of Engineering at NYU. Prior to this appointment, he was a research fellow in the Department of Civil and Environmental Engineering at the University of Michigan, Ann Arbor. Dr. Chen’s research goal is to identify, develop, and implement emerging technologies to achieve a safer, more efficient, and environment-friendly transportation system. He was the recipient of the Stella Dafermos Best Paper Award and the Ryuichi Kitamura Paper Award at the 95th TRB Annual Meeting.

 

Select Publications

  • Lin, X., Chen, Z.*, Li, M., & He, F. (2024). Bunching-proof capabilities of modular buses: An analytical assessment. Transportation Science.
  • Liu, Y., Chen, Z.*, & Wang, X. (2024). Alleviating bus bunching via modular vehicles. The 25th International Symposium on Transportation and Traffic Theory (ISTTT).

  • Chen, Z., Deng, Y., Xie, C., Guan, C., & Pan, T. (2023). Network equilibrium of battery electric vehicles considering drivers’ resting behavior. Transportation Research Part C: Emerging Technologies, 155, 104305.

  • Liu, Y., Chen, Z.*, Xie, C., & Liu, K. (2023). Temporal equilibrium for electrified ride-sourcing markets considering charging capacity and driving fatigue. Transportation Research Part C: Emerging Technologies, 147, 104008.

  • Li, Z., Xu, Z., Chen, Z.*, Xie, C., Chen, G., & Zhong, M. (2023). An empirical analysis of electric vehicles’ charging patterns. Transportation Research Part D: Transport and Environment, 117, 103651.

     

Education

  • PhD, Transportation Engineering
    University of Florida
Research Interests
  • Network Modeling & Optimization
  • Emerging Vehicle Technologies

  • AI in Transportation

Courses Taught
  • Emerging Technologies for Smart Cities
  • Introduction to Optimization and Mathematical Programming