Bio

Dr. Rushdi Alsaleh joined the department of Civil Engineering as a postdoctoral research fellow in December 2021. Dr. Alsaleh obtained his Ph.D. in Civil and Environmental Engineering (Transportation Engineering) from the University of British Columbia (Vancouver) in 2021. He has participated in several consulting projects in traffic safety in North America and internationally. Dr. Alsaleh’s research has been focused on improving road safety analysis and evaluation techniques, developing novel techniques for analyzing and modeling active road user in shared spaces using recent advances in machine learning (ML), improving the current knowledge of the safety implications of highway designs, and developing and evaluating Intelligent Transportation System (ITS).

Research Interests

Active travel behavior (walking and bicycling), Safety evaluations, Traffic conflicts techniques, Pedestrian modeling, ITS, Risk Analysis, Machine Learning, Game Theory, Sequential Decision-Making, and Stochastic Modeling.

Awards & Recognitions

2019, Canadian Transport Research Forum Award, Canadian Transport Research Forum (CTRF)
2016-2021, Graduate Research Fellowship, University of British Columbia

Publications

  • Liu, Y. *, Alsaleh, R. *, & Sayed, T. (2022). Modeling Pedestrian Temporal Violations at Signalized Crosswalks: A Random Intercept Parametric Survival Model. Transportation Research Record (In Press).
  • Alsaleh, R. *, Sayed, T*. (2021). Markov-game modeling of cyclist-pedestrian interactions in shared spaces: A multi-agent adversarial inverse reinforcement learning approach. Transportation Research Part C: Emerging Technologies, 128, 103191.
  • Alsaleh, R.*, & Sayed, T. (2021). Microscopic Modeling of Cyclists Interactions with Pedestrians in Shared Spaces: A Gaussian Process Inverse Reinforcement Learning Approach. Transportmetrica A: transport science, DOI: 10.1080/23249935.2021.1898487.
  • Nasernejad, P., Sayed, T., & Alsaleh, R. * (2021). Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach. Accident Analysis & Prevention, 161, 106355.
  • Liu, Y. *, Alsaleh, R. *, & Sayed, T. (2021). Modeling Lateral Interactions between Motorized Vehicles and Non-Motorized Vehicles in Mixed Traffic Using Accelerated Failure Duration Model. Transportmetrica A: Transport Science, DOI: 10.1080/23249935.2021.1908443.
  • Lanzaro, G., Alsaleh, R.*, & Sayed, T. (2021). Investigating the impact of correlation on system multimode reliability-based analysis of highway geometric design. Transportmetrica A: Transport Science, 17(4), 1027-1054.
  • Liu, Y. *, Alsaleh, R. *, & Sayed, T. (2021). Modeling the Influence of Mobile Phone Use Distraction on Pedestrian Reaction Times to Green Signals: A Multilevel Mixed-Effects Parametric Survival Model. Transportation research part F: traffic psychology and behaviour, (Accepted).
  • Lanzaro, G., Sayed, T., & Alsaleh, R.* (2021). Can motorcyclist behavior in traffic conflicts be modeled? A Deep Reinforcement Learning approach for motorcycle-pedestrian interactions. Transportmetrica B: Transport Dynamics (In press).
  • Alsaleh, R.*, & Sayed, T. (2020). Modeling pedestrian-cyclist interactions in shared space using inverse reinforcement learning. Transportation research part F: traffic psychology and behaviour, 70, 37-57.
  • Alsaleh, R.*, Sayed, T., Ismail, K., & Alrukaibi, F. (2020). System reliability as a surrogate measure of safety for horizontal curves: methodology and case studies. Transportmetrica A: transport science, 16(3), 957-986.
  • Alsaleh, R.*, Hussein, M., & Sayed, T. (2020). Microscopic behavioural analysis of cyclist and pedestrian interactions in shared spaces. Canadian Journal of Civil Engineering, 47(1), 50-62.
  • Alrukaibi, F.*, Alsaleh, R., & Sayed, T. (2019). Applying Machine Learning and Statistical Approaches for Travel Time Estimation in Partial Network Coverage. Sustainability, 11(14), 3822.
  • Alsaleh, R., Sayed, T., & Zaki, M. H.* (2018). Assessing the effect of pedestrians’ use of cell phones on their walking behavior: A study based on automated video analysis. Transportation research record, 2672(35), 46-57.
  • Alrukaibi, F., Alsaleh, R.*, & Sayed, T. (2018). Real-time travel time estimation in partial network coverage: A case study in Kuwait City. Adv. Transp. Stud., 44, 79-94.