mehdi

Senior Lecturer Above the BarMehdi Keyvan-Ekbatani

On Sabbatical Sept 2022-July 2023
Civil & Natural Resources Engineering E438
Internal Phone: 95121

Qualifications

Research Interests

The last few years, I worked mainly in the area of traffic flow modeling and control. To be more specific, I am interested in modeling the traffic dynamics on motorways and urban networks, both at the macroscopic and microscopic level. Developing control strategies to mitigate the traffic congestion in large-scale urban networks under over-saturated traffic regime is also one of my main research interests.

Recent Publications

  • Gomez Patino CM., Buisson C. and Keyvan-Ekbatani M. (2022) Impact of Variability of Car-Following Parameters on Road Capacity: The Simple Case of Newell’s Model. Transportation Research Record http://dx.doi.org/10.1177/03611981221105278.
  • Guo H., Keyvan-Ekbatani M. and Xie K. (2022) Lane change detection and prediction using real-world connected vehicle data. Transportation Research Part C: Emerging Technologies http://dx.doi.org/10.1016/j.trc.2022.103785.
  • Guo H., Keyvan-Ekbatani M. and Xie K. (2022) A transformer-based learning approach for lane change prediction. In Transportation Research Board annual meeting.
  • Guo H., Xie K. and Keyvan-Ekbatani M. (2022) Modeling Drivers’ Evasive Behavior with Deep Reinforcement Learning. Christchurch: Australasian Road Safety Conference, 28 Sep 2022.
  • Jiang S., Keyvan-Ekbatani M. and Ngoduy D. (2022) Partitioning of urban, networks with poly-centric congestion pattern for traffic management policies: identifying protected networks. Computer-Aided Civil and Infrastructure Engineering http://dx.doi.org/10.1111/mice.12895.