Welcome to the Control Group of TransportLab at the University of Sydney…

Cities are becoming smarter in ways that enable us to monitor, analyze, and improve the quality of life in real time. Our research mainly targets addressing traffic operations in cities. Our multidisciplinary approach combines physics, engineering, and applied maths through data science, modeling mobility dynamics using relevant mathematical and physical tools, and advanced optimization and control techniques.

Group YouTube channel:

https://www.youtube.com/channel/UC1VIPFbdw0cRK8J06DLaHEA

Team

PhD opportunity: We are always looking forward to working with the most talented and motivated students. If you are interested in research please contact mohsen.ramezani@sydney.edu.au attaching your latest CV.
Postdoc
  • Dr. Ehsan Seyedabrishami; 2022 – 2023
  • Dr. Hongjun Yu; 2022 – 2023
  • Dr. Reza Mohajerpoor; 2018 – 2020
PhD
  • Elnaz Emami – Modelling and control of shared e-micromobility systems; 10/2022 – 2026
  • Alireza Soltani – Traffic programming at intersections; 10/2022 – 2026
  • Guipeng Jiao – Ride sharing in competitive markets; 3/2021 – 2024
  • Yue Yang – Modeling and control of shared and automated e-hailing systems; 3/2021 – 2024
  • Linji Chen – Management of ride-sourcing systems; 3/2020 – 2024
  • Dr. Ye Li – Perimeter control and pricing using MFD; 3/2018 – 2022
MPhil
  • Ruihao Zeng – Multi-object tracking with a moving sensor; 09/2022 – 2024
  • Mengyuan (Derek) Zhu – Location-aware control of ride-sharing systems; 8/2020 – 2022
  • Amir Hosein Valadkhani – Dispatching and relocation in ride-sourcing systems; 2017 – 2021
  • Dong Zhao – Bus bunching modeling and control; 2017 – 2019
Co-supervision
  • Linda Belkessa (Université Gustave Eiffel Paris; with Mahdi Zargayouna and Mostafa Ameli); 2023 – 2026
  • Abdullah Zare Andaryan (The University of Sydney; with Mike Bell); 2023 – 2026
  • Jack Wang (The University of Sydney; with David Levinson); 2022 – 2025
  • Mobina Faqani (Sharif University of Technology; with Habibolah Nassiri); 2020 – 2025
  • Dr. Ang Ji (The University of Sydney; with David Levinson); 2018 – 2021
  • Dr. Mohammad Noaeen (University of Calgary; with Behrouz Far); 2016 – 2021

 

– Network modeling (MFD) and traffic control

 

– Modeling and control of point-to-point e-hailing services

 

– Electric, connected and automated vehicles

  • Ji, A., Ramezani, M., & Levinson, D. (2023). Pricing lane changes. Transportation Research Part C, 149. (PDF)
  • Mohajerpoor, R., & Ramezani, M. (2019). Mixed flow of autonomous and human-driven vehicles: Analytical headway modeling and optimal lane management. Transportation Research Part C, 109, 194-210. (PDF)
  • Ramezani, M., & Ye, E. (2019). Lane density optimization of automated vehicles for highway congestion control. Transportmetrica B: Transport Dynamics, 7(1), 1096-1116. (PDF)
  • Jing, W., Ramezani, M., An, K., & Kim, I. (2018). Congestion patterns of electric vehicles with limited battery capacity, PloS one, vol. 13, no. 3, e0194354. (PDF)
  • Jing, W., An, K., Ramezani, M., & Kim, I. (2017). Location design of electric vehicle charging facilities: A path-distance constrained stochastic user equilibrium approach, Journal of Advanced Transportation. (PDF)
  • Ramezani, M., & Geroliminis, N. (2015). Queue profile estimation in congested urban networks with probe data. Computer‐Aided Civil and Infrastructure Engineering30(6), 414-432. (PDF)
  • Ramezani, M., & Geroliminis, N. (2012). On the estimation of arterial route travel time distribution with Markov chains. Transportation Research Part B46(10), 1576-1590. (PDF)