Biography

Tarek Sayed is a distinguished professor and a Tier 1 Canada Research Chair of Transportation Safety and Advanced Mobility at the University of British Columbia. He has a distinguished research track record in transportation engineering and has received a high number of honors and awards. In 2004, UBC granted Dr. Sayed the title of Distinguished University Scholar, an honor held by a very small group of professors at UBC. Beyond many best paper awards, he also received the Sandford Fleming Award from the Canadian Society of Civil Engineering “for a member who has made particularly outstanding contributions to the development and practice of transportation engineering in Canada” (2009), and the Award of Academic Merit from the Transportation Association of Canada (2010) “in recognition of long-term contribution to the advancement of the academic field and the development of tomorrow’s transportation leaders.” In 2011, he received the Wilbur Smith Distinguished Transportation Educator Award for outstanding contributions to the field of transportation engineering from the Institute of Transportation Engineers (ITE). In 2014, he was awarded the Centennial Road Safety Award from the Transportation Association of Canada. This one-time award recognizes his outstanding transformational and long-term contributions to road safety over the past 100 years. And in 2015, Dr. Sayed received the Prince Michael International Road Safety Award for the most outstanding international road safety initiative. He is also a Fellow of the Engineering Institute of Canada, the Canadian Academy of Engineering, and the Canadian Society for Civil Engineering and was the editor of the Canadian Journal of Civil Engineering for 8 years.

During his research activities, he has addressed a wide spectrum of transportation system applications with a focus on traffic operation and safety, Intelligent Transportation Systems, and the application of information technologies. He supervised to completion more than 100 Master and PhD students. He is the author or co-author of more than 400 journal and conference papers, including 250 published in the leading international journals. As well, he has completed numerous consulting projects in traffic operations and safety in North America and internationally. He has completed numerous consulting projects in traffic safety and ITS in North America and internationally. In addition, his real-time safety evaluation and optimization research was the basis for a start-up that he cofounded in collaboration with UBC, the University of Queensland and Queensland University of Technology. Advanced Mobility Analytics Group (AMAG) attracted industry funding and successfully commercialized three products that use AI to operate transportation networks more safely and efficiently and was acquired by a large Canadian software company in 2024. Finally, his research has broad public appeal, and was featured in numerous media outlets including The New York Times and France 24 News.

Dr. Sayed’s research to improve the methods of traffic safety analysis and evaluation is helping to reshape how road safety problems are identified and evaluated. The methods and techniques developed have received wide recognition and are being used by several agencies such as the Insurance Corporation of British Columbia (ICBC), US State Farm Insurance, US AAA Michigan, and the US Federal Highway Administration (FHWA). Dr. Sayed has completed numerous safety audits in Canada, the US and the Middle East. Improving the understanding and relationship between safety performance and traffic operations/road design is another research interest of Dr. Sayed and responds to the demand for this knowledge among transportation professionals. A good example of the applicability of his research within this area, are the methods that developed to explicitly evaluate safety and design consistency. His research work led to an evaluation framework that was adopted by BCMOT to evaluate the new design of the Sea to Sky Highway, located between Vancouver and Whistler, in southern British Columbia. The highway is being rebuilt to meet the demand for the 2010 Winter Olympics with a budget exceeding 1.00 billion dollars. This framework allowed decision makers the opportunity to analyze the safety benefits in relation to the cost of new highway design improvements. This facilitated a “trade-off” analysis that allowed for the justification and rationalization of highway infrastructure investment levels.

Within the area of ITS and traffic operations, Dr. Sayed’s research to develop a comprehensive strategy for Transit Signal Priority has been successfully applied on two corridors in Vancouver. Also, on a strategic level, he helped establish a provincial ITS vision and strategic plan for using advanced technologies to help solve provincial, regional and local transportation issues. He has supervised the completion of many ITS projects as the Director of the Bureau of Intelligent Transportation Systems and Freight Security (BITSAFS-Engineering) at UBC.

Research Interests

Full Bayes safety models, Automated safety analysis using computer vision techniques, Safety evaluations, Traffic conflicts techniques, Pedestrian modeling, and ITS.

Courses

CIVL 340 Transportation Engineering I

CIVL 440 Transportation Engineering II

CIVL 582 Transportation Engineering Impacts

Awards & Recognitions

• 2018, Tier 1 Canada Research Chair in Transportation Safety and Advanced Mobility
• 2017, Best Paper Award, Transportation Research Board Committee on Safety,
• 2016, Best Paper Award, Transportation Research Board Statistical Methodology Committee
• 2015, Prince Michael International Road Safety Award
• 2014, Centennial Road Safety Award, Transportation Association of Canada
• 2014, Elected Fellow of the Engineering Institute of Canada
• 2013, Elected Fellow of the Canadian Academy of Engineering
• 2013, Elected Fellow of the Canadian Society for Civil Engineering
• 2011, Wilbur Smith Distinguished Transportation Educator Award, Institute of Transportation Engineers
• 2011, Professor’s Appreciation Award, UBC Civil Engineering Undergraduates
• 2011, Best paper award, Transportation Research Board Committee on Safety
• 2010, Award of Academic Merit, Transportation Association of Canada
• 2010, Best paper award, Transportation Research Board Committee on Pedestrians
• 2010, Sandford Fleming Award, Canadian Society of Civil Engineering
• 2009, Best Paper Award, Transportation Association of Canada.
• 2009, Best Paper Award, Canadian Multidisciplinary Road Safety Conference XIX, Saskatchewan
• 2008, Best Paper Award, Transportation Research Board Committee on Safety
• 2005, Best Paper Award, Transportation Association of Canada, Alberta.
• 2004, Distinguished University Scholar, University of British Columbia
• 2004, 2nd rank Professor Appreciation Teaching Award, UBC Civil Engineering Undergraduate Club
• 2003, Daniel B. Fambro Best Paper Award, Institute of Transportation Engineers
• 1996, Best Article Award, Canadian Institute of Transportation Engineers
• 1996, Honorable Mention – The Gilchrist Medal, Transportation Association of Canada
• 1995, The Gilchrist Medal, Transportation Association of Canada

Publications

• Wu, H.,Sayed, T., Liu, P., Zhao, H., Huang, J., and Guo, Y. (2026) “Heterogeneous Platoon Cooperative Control Framework at Signalized Intersections: An Adaptive Dynamic Reorganization Method”, in print, IEEE Transactions on Vehicular Technology.
• Yue, Q., Guo, Y., Niu, D., and Sayed, T. (2026) “Bayesian Cross-exciting Conditional Peak-over-threshold Approach for Short-term Crash Risk Forecasting”, Analytic Methods in Accident Research, Vol. 51, 100442.
• Niu, D., Ghoul, T., Haque, S. and Sayed, T. (2026) “Network-wide Multi-horizon Probabilistic Crash Risk Forecasting: A Bayesian Hierarchical Marked Point Process Model with Spatial Dependence”, Analytic Methods in Accident Research, Vol. 51, 100441.
• Yue, Q., Sayed, T., Cao, J., Sovetbekov, B. and Guo, Y. (2026) “Crash-risk-aware routing for sustainable urban mobility: Balancing safety, efficiency, and energy under dynamic traffic conditions”, Sustainable Cities and Society Vol. 148, 107620.
• Goyal, S., Gore, N., Easa, S., Arkatkar, S. and Sayed, T. (2026) “Integrating Conflicts and Flow Dynamics for Proactive Work Zone Safety: A Bayesian EVT Approach”, in print, Transportmetrica A (Final acceptance May, 2026)
• Ghoul, T., Niu, D. and Sayed, T. (2026) “Incorporating Spatial Effects into Bayesian Extreme Value Models for Network Crash Risk Estimation”, in print, Transportmetrica A (Final acceptance April, 2026)
• Lanzaro, G., Liu, Y. and Sayed, T. (2026) “Crossing the Road in Front of Autonomous Vehicles: An Investigation of Pedestrian Behavior Using Survival Analysis”, Journal of Transportation Engineering, Part A: Systems, Vol. 152(9), 04026087.
• Lanzaro, G., Sayed, T., Osama, A. and Telima, M. (2026) “Characterizing Vehicle-pedestrian Interaction Behavior in Near Misses: Insights from Three Different Cities”, Accident Analysis and Prevention, Vol. 230, 108468
• Liu, Y., Gargoum, S. and Sayed, T. (2026) “Evaluating the impact of vehicle automation on the safety of highway design: A 3D risk assessment approach using reliability theory”, Accident Analysis and Prevention, Vol. 229, 108444
• Reyad, P. and Sayed, T. (2026) “ Multi-agent deep reinforcement learning-Based decentralized adaptive traffic signal control for corridor-Level safety optimization”, Canadian Journal of Civil Engineering, Vol. 53, pp. 1-19.
• Yue, Q., Guo, Y., Sayed, T., Liu, P. and Lyu, H (2026) “A Bayesian hierarchical spatio-temporal generalized extreme value modeling for safety analysis from traffic conflicts”, Reliability Engineering & System Safety, Vol. 271, 112274
• Niu, D., and Sayed, T.(2025) “Bayesian forecasting of short-term crash risk with conditional extreme value models: A comparison between one-stage and two-stage approaches”, Analytic Methods in Accident Research, Vol. 48, 100409.
• Yue, Q., Guo, Y., Sayed, T., Zheng, L., Lyu, H. and Liu, P. (2025) “Bayesian hierarchical non-stationary hybrid modeling for threshold estimation in peak over threshold approach”, Accident Analysis and Prevention,  Vol. 223, 108249.
• Zhang, C., Ma, Y., Sayed, T., Guo, Y., Liu, P. and Xing, G. (2025) “Safety evaluation for heavy vehicle drivers using extreme value model based on the multi-source sensing data”, Accident Analysis and Prevention,  Vol. 221, 108211.
• Yue, Q., Guo, Y., Sayed, T., Liu, P., Lyu, H. and Fan, W. (2025) “A spatial generalized extreme value framework for traffic conflict using max-stable process approach”, Accident Analysis and Prevention, Vol. 220, 108164.
• Abu Khuzam, E., Lanzaro, G. and Sayed, T. (2025) “Impact of Jaywalking on Pedestrian Interaction Behavior: A Multiagent Markov Game-based Analysis”, Accident Analysis and Prevention, Vol. 220, 108141.
• Niu, D., and Sayed, T.(2025) “Short-term conflict-based crash risk forecasting: A Bayesian conditional peak-over-threshold approach”, Analytic Methods in Accident Research, Vol. 46, 100385.
• Kamel, A. and Sayed, T. (2025) “Real-time crash risk estimation with Autonomous Vehicle Data: A Comparative Analysis of Extreme Value Models”, in print, Transportmetrica A (Final acceptance April, 2025)
• Ghoul, T., and Sayed, T. (2025) “Cyclist Safety Assessment Using Autonomous Vehicles” Accident Analysis and Prevention, Vol. 212, 107923.
• Zhang, C., Ma, Y., Sayed, T., Guo, Y. and Chen, S. (2025) “A Cross-sectional Safety Evaluation Approach Using Generalized Extreme Value Models: A Case of Right-turn Safety Treatment” Accident Analysis and Prevention, Vol. 211, 107907.
• Lanzaro, G. and Sayed, T. (2025) “Evaluating driver-pedestrian interaction behavior in different environments via Markov-game-based inverse reinforcement learning”, Expert Systems with Applications, Vol. 260, 125405.
• Liang, X., Alsaleh, R. and Sayed, T., Moshiri, G. and Haider, A. (2025) “Microscopic Behavioral and Psychological Analysis of Road User Interactions in Shared Spaces”, Applied Science, Vol. 15(21), 11418.
• Shoman, M., Sayed, T. and Gargoum, S. (2024) “Transformer-Based Model for Predicting Trajectories in Autonomous Vehicle-Pedestrian Conflicts: A Proactive Approach to Road Safety”, Canadian Journal of Civil Engineering, Vol. 52, Issue 5, pp. 916-928
• Kamel, A. and Sayed, T. (2024) “Transferability of Real-Time EVT Safety Models: An Investigation Using Autonomous Vehicles Data”, in print, Transportmetrica A (Final acceptance October, 2024)
• Alsharif, T., Lanzaro, G. and Sayed, T. (2024) “Distracted Walking: Does it impact pedestrian-vehicle interaction behavior?” Accident Analysis and Prevention, Vol. 208, 107789.
• Niu, D., Sayed, T., Fu, C., Mannering, F. (2024) “A cross-comparison of different extreme value modeling techniques for traffic conflict-based crash risk estimation”, Analytic Methods in Accident Research, Vol. 44, 100352.
• Yue, Q., Guo, Y., Sayed, T., Liu, P., Zheng, L., Lyu, H. (2024) “Bayesian Hybrid Gamma-GPD Model for Extreme Traffic Conflict Threshold Determination in the Peak Over Threshold Approach” Accident Analysis and Prevention, Vol. 206, 107717.
• Zhang, C., Ma, Y., Sayed, T., Guo, Y., Chen, S., and Fu, Y. (2024) “Exploring the Impact of Right-Turn Safety Measures on E-Bike-Heavy Vehicle Conflicts at Signalized Intersections”, Accident Analysis and Prevention, Vol. 206, 107722.
• Shoman, M. Lanzaro, G., Sayed, T. and Gargoum, G. (2024) “Autonomous Vehicle-Pedestrian Interaction Modeling Platform: A Case Study in Four Major Cities”, Journal of Transportation Engineering Part A: Systems, Vol. 150(9), 04024045.
• Guo, Y., Sayed, T., Liu, P., Yue, Q., and Guo, S. (2024) “Modeling temporal correlation and heterogeneity in real-time conflict rates using Bayesian Tobit models for signalized intersections”, Accident Analysis and Prevention, Vol. 202, 107552.
• Kamel, A. Sayed, T. and Kamel. M. (2024) “Real-Time combined Safety-Mobility Assessment Using Self-Driving Vehicles Collected Data”, Accident Analysis and Prevention,  Vol. 199, 107513.
• Alsaleh, R., Lanzaro, G. and Sayed, T. (2024) “Incorporating design consistency into risk-based geometric design of horizontal curves: a reliability-based optimization framework”,  Transportmetrica A, Vol. 20, No. 2, 2174356.
• Liu, Y., Alsaleh, R. and Sayed, T. (2024) “Modelling motorized and non-motorized vehicle conflicts using multiagent inverse reinforcement learning approach”, Transportmetrica B, Vol. 12, No. 1, 2314762.
• Shoman, M., Ghoul, T., Lanzaro, G., Alsharif, T., Gargoum, S. and Sayed, T. (2024) “Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists’ Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images”, Algorithms, Vol. 17, 202.
• Fu, C. and Sayed, T. (2023) “Dynamic Bayesian hierarchical peak over threshold modeling for real-time crash-risk estimation from conflict extremes”, Analytic Methods in Accident Research, Vol. 40, 100304.
• Lanzaro, G., Sayed, T. and Fu, C. (2023) “A comparison of pedestrian behavior in interactions with autonomous and human-driven vehicles: An extreme value theory approach”, Transportation Research Part F, Vol. 99, pp.1-18.
• Li, D., Fu, C., Sayed, T. and Wang, W. (2023) “An integrated approach of machine learning and Bayesian spatial Poisson model for large-scale real-time traffic conflict prediction”, Accident Analysis and Prevention,  Vol. 192, 107286.
• Fu, C. and Sayed, T. (2023) “Identification of adequate sample size for conflict-based crash risk evaluation: An investigation using Bayesian hierarchical extreme value theory models”, Analytic Methods in Accident Research, Vol. 39, 100281.
• Ghoul, T., Sayed, T. and Fu, C. (2023) “Real-time safest route identification: Examining the trade-off between safest and fastest routes”, Analytic Methods in Accident Research, Vol. 39,100277.
• Nasernejad, P., Sayed, T. and Alsaleh, R. (2023) “Multiagent modeling of pedestrian-vehicle conflicts using Adversarial Inverse Reinforcement Learning”, Transportmetrica A,Vol. 19, No. 3, 2061081.
• Zheng, L., Hu, Z. and Sayed, T. (2023) “Traffic Conflict Prediction at Signal Cycle Level Using Bayesian Optimized Machine Learning Approaches”, Transportation Research Record,  Vol. 2677(5), pp. 183–195.
• Arun, A., Lyon, C., Sayed, T., Washington, S., Loewenherz, F., Akers, D., Ananthanarayanan, D., Shu, Y., Bandy, M. and Haque, M. (2023) “Leading Pedestrian Intervals – Yay or Nay? A Quantile Regression-based Non-stationary Bayesian Hierarchical Extreme Value Model for Before-after Evaluation of Traffic Conflicts”, Accident Analysis and Prevention, Vol. 181, 106929.
• Ghoul, T.; Sayed, T. and Fu, C. (2023) “ Dynamic identification of short-term and longer-term hazardous locations using a conflict-based real-time extreme value safety model”, Analytic Methods in Accident Research, Vol. 37, 100262.
• Reyad, P. and Sayed, T. (2023) “Real-Time Multi-Objective Optimization of Safety and Mobility at Signalized Intersections”, Transportmetrica B, Vol. 11, No. 1, pp. 847–868.
• Kamel, A., Sayed, T. and Fu, C. (2023) “Real-time safety analysis using autonomous vehicle data: A Bayesian hierarchical extreme value model”, Transportmetrica B, Vol. 11, No. 1, pp. 826–846.
• Fu, C. and Sayed, T. (2022) “A multivariate method for evaluating safety from conflict extremes in real time”, Analytic Methods in Accident Research, Vol. 36, 100244.
• Lanzaro, G., Sayed, T. and Alsaleh, R. (2022) “Modeling motorcyclist-pedestrian near misses: A Multiagent Adversarial Inverse Reinforcement Learning (MAAIRL) Approach”, Journal of Computing in Civil Engineering, Vol. 36(6), 04022038.
• Alsaleh, R. and Sayed, T. (2022) “Do Road Users Play Nash Equilibrium? A Comparison between Nash and Logistic Stochastic Equilibriums for Multiagent Modeling of Road User Interactions in Shared Spaces “, Expert Systems with Applications, Vol. 205, 117710.
• Fu, C. and Sayed, T. (2022) “Random parameters Bayesian hierarchical extreme value modeling approach with heterogeneity in means and variances for traffic conflict-based crash estimation”, Journal of Transportation Engineering Part A: Systems, Vol. 148, Issue 9: 04022056.
• Reyad, P., Sayed, T., Essa, M. and Zheng, L. (2022) “Real-Time Crash Risk Optimization at Signalized Intersections”, Transportation Research Record, Vol. 2676(12), pp. 32–50.
• Fu, C. and Sayed, T. (2022) “Bayesian dynamic extreme value modeling for conflict-based real-time safety analysis”, Analytic Methods in Accident Research, Vol.34, 100204.
• Arun, A., Haque, M., Washington, S., Sayed, T. and Mannering, F. (2022) “How many are enough?: Investigating the effectiveness of multiple conflict indicators for crash frequency-by-severity estimation by automated traffic conflict analysis”, Transportation Research Part C, Volume 138, 103653.
• Alsaleh, R., and Sayed, T. (2022) “Microscopic Modeling of Cyclists Interactions with Pedestrians in Shared Spaces: A Gaussian Process Inverse Reinforcement Learning Approach”, Transportmetrica A, Vol. 18, No. 3, pp. 828–854.
• Liu, Y., Alsaleh, R. and Sayed, T. (2022) “Modeling Pedestrian Temporal Violations at Signalized Crosswalks: A Random Intercept Parametric Survival Model”, Transportation Research Record, Vol. 2676, pp. 707–720.
• Lanzaro, G., Sayed, T. and Alsaleh, R. (2022) “Can motorcyclist behavior in traffic conflicts be modeled? A deep reinforcement learning approach for motorcycle-pedestrian interactions”, Transportmetrica B: Transport Dynamics, Vol. 10, No. 1, pp. 396–420.
• Liu, Y., Alsaleh, R. and Sayed, T. (2022) “Modeling lateral interactions between motorized vehicles and non-motorized vehicles in mixed traffic using accelerated failure duration model”, Transportmetrica A, Vol. 18, No. 3, pp. 910–933.
• Mohammed, H., Sayed, T. and Bigazzi, A. (2022) “Microscopic modeling of cyclists on off-street paths: A stochastic imitation learning approach”, Transportmetrica A, Vol. 18, No. 3, pp. 345–366.
• Ghoul, T., and Sayed, T. (2021) “Real-time signal-vehicle coupled control: An application of connected vehicle data to improve intersection safety”, Accident Analysis and Prevention, Vol. 162, 106389.
• Fu, C., Sayed, T. and Zheng, L. (2021) “Multi-type Bayesian hierarchical modeling of traffic conflict extremes for crash estimation”, Accident Analysis & Prevention, Vol. 160,106309.
• Nasernejad, P., Sayed, T. and Alsaleh, R. (2021) “Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach”, Accident Analysis and Prevention, Vol. 161, 106355.
• Zheng, L., Sayed, T. and Essa, M. (2021) “Investigating the transferability of Bayesian hierarchical extreme value model for traffic conflict-based crash estimation”, Canadian Journal of Civil Engineering, Vol. 48, pp. 1071–1080.
• Zheng, L. Huang, Y., Sayed, T. and Wen, C. (2021) “Validating the Bayesian hierarchical extreme value model for traffic conflict-based crash estimation on freeway segments with site-level factors”, Accident Analysis and Prevention, Vol. 159, 106269.
• Arun, A. Haque, M., Washington, S. Sayed, T., and Mannering, F. (2021) “A systematic review of traffic conflict-based safety measures with a focus on application context”, Analytic Methods in Accident Research, Vol. 32, 100185.
• Kamel, M. and Sayed, T. (2021) “Accounting for seasonal effects on cyclist-vehicle crashes”, Accident Analysis and Prevention, Vol. 159, 106263.
• Liu, Y., Alsaleh, R. and 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, Vol. 81, pp. 115–129.  
• Alsaleh, R., and Sayed, T. (2021) “Markov-Game Modeling of Cyclist-Pedestrian Interactions at Shared Spaces: A Multi-Agent Adversarial Inverse Reinforcement Learning Approach ”, Transportation Research Part C, Vol. 128, 103191.
• Arun, A. Haque, M., Bhaskar, A., Washington, S. and Sayed, T. (2021) “A Bivariate Extreme Value Model for Estimating Crash Frequency by Severity using Traffic Conflicts”, Analytic Methods in Accident Research, Vol. 32, 100180.
• Fu, C. and Sayed, T. (2021) “Random parameters Bayesian hierarchical modeling of traffic conflict extremes for crash estimation”, Accident Analysis and Prevention, Volume 157, 106159.
• Ghoul, T. and Sayed, T. (2021) “Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning”, Sensors, Vol. 21, 3864.
• Fu, C. and Sayed, T. (2021) “Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation”, Accident Analysis and Prevention, Vol. 153, 106051.
• Kamel, M. and Sayed, T. (2021) “The impact of bike network indicators on bike kilometers traveled and bike safety: A network theory approach”, Environment and Planning B: Urban Analytics and City Science, Vol. 48, Issue 7, pp. 2055–2072.
• Fu, C. and Sayed, T. (2021) “Multivariate Bayesian hierarchical Gaussian copula modeling of the non-stationary traffic conflict extremes for crash estimation”, Analytic Methods in Accident Research, Vol. 29, 100154.
• Zheng, L., Sayed, T. and Mannering, F. (2021) “Modeling traffic conflicts for use in road safety analysis: A review of analytic methods and future directions”, Analytic Methods in Accident Research, Vol. 29, 100142.
• Ibrahim, S. and Sayed, T. (2021) “Using Bayesian Tobit Models to Understand the Impact of Mobile Automated Enforcement on Collision and Crime Rates”, Sustainability, Vol. 13, 6422.
• Guo, Y., Sayed, T., Zheng, L., and Essa, M. (2021) “An Extreme Value Theory Based Approach for the Calibration of Microsimulation Models for Safety Analysis”, Simulation Modelling Practice and Theory, Vol. 106, 102172.
• Arun. A., Haque, S., Bhaskar, A., Washington, S. and Sayed, T. (2021) “A systematic mapping review of surrogate safety assessment using traffic conflict techniques”, Accident Analysis and Prevention, Vol. 153, 106016.
• AlRukaibi, F., AlKheder, S., Sayed, T. and Alburait, A. (2021) “Injury severity influence factors and collision prediction – A case study on Kuwait highways”, Journal of Transport & Health, Vol. 20, 101025.
• Lanzaro, G., Alsaleh, R. and Sayed, T. (2021) “Investigating the Impact of Correlation on System Multimode Reliability-based Analysis of Highway Geometric Design”, Transportmetrica A, Vol. 17, No. 4, pp. 1027–1054.
• Fu, C., Sayed, T. and Zheng, L. (2020) “Multivariate Bayesian Hierarchical Modeling of the Non-Stationary Traffic Conflict Extremes for Crash Estimation”, Analytic Methods in Accident Research, Vol. 28, 100135.
• Guo, Y., Sayed, T. and Zheng, L. (2020) “A Hierarchical Bayesian Peak Over Threshold Approach for Conflict-based Before-after Safety Evaluation of Leading Pedestrian Intervals”, Accident Analysis and Prevention, Vol. 147, 105772.
• Essa, M., and Sayed, T. (2020) “Self-learning adaptive traffic signal control for real-time safety optimization”, Accident Analysis and Prevention, Vol. 146, 105713.
• Osama, A., Albitar, M., Sayed, T., and Bigazzi, A (2020) “Determining if Walkability and Bikeability Indices Reflect Pedestrian and Cyclist Safety”, Transportation Research Record, Vol. 2674 (9), pp. 767–775.
• Guo, Y, Sayed, T. and Essa, M. (2020) “Real-time conflict-based Bayesian Tobit models for safety evaluation of signalized intersections”, Accident Analysis and Prevention, Vol. 144, 105660.
• Zheng, L. and Sayed, T. (2020) “A novel approach for real time crash prediction at signalized intersections”, Transportation Research Part C, Vol. 117, 102683.
• Kamel, M. and Sayed, T. (2020) “Cyclist-vehicle crash modeling with measurement error in traffic exposure”, Accident Analysis and Prevention, Vol. 144, 105612.
• Alsaleh, R., and Sayed, T. (2020) “Modeling Pedestrian-cyclist Interactions in Shared Space Using Inverse Reinforcement Learning”, Transportation Research Part F, Vol. 70, pp. 37-57.
• Hussein, M., Sayed, T., El-Basyouny, K. and deLeur, P. (2020) “Investigating safety effects of wider longitudinal pavement markings”, Accident Analysis and Prevention, Vol. 142, 105527.
• Guo, Y. and Sayed, T. (2020) “A Before-After Evaluation of Left-turn Lane Extension: Considering Injury Severity and Collision Type”, Transportation Research Record, Vol. 2674. pp. 67–77.
• Essa, M., and Sayed, T. (2020) “Comparison between Surrogate Safety Assessment Model and Real-Time Safety Models in Predicting Field-Measured Conflicts at Signalized Intersections”, Transportation Research Record, Vol. 2674, 3: pp. 100-112.
• Kamel, M., Sayed, T. and Bigazzi, A. (2020) “A Composite Zonal Index for Biking Attractiveness and Safety”, Accident Analysis and Prevention, Vol. 137, 105439.
• Zheng, L. and Sayed, T. (2020) “A Bivariate Bayesian Hierarchical Extreme Value Model for Traffic Conflict-based Crash Estimation”, Analytic Methods in Accident Research, Vol. 25, 100111.
• Guo, Y., Zheng, L. and Sayed, T. (2020) “A comparison of collision-based and conflict-based safety evaluation of left-turn bay extension”, Transportmetrica A: Transport Science, Vol. 16, No. 3, pp. 676–694.
• Zaki, M., Sayed, T. and Billeh, M. (2020) “Enhancing Unsupervised Video-Based Vehicles Tracking and Modeling for Traffic Data Collection”, Canadian Journal of Civil Engineering, Volume 47, Issue 8, pp. 952-997.
• Alsaleh, R., Sayed, T., Ismail, K. and Alrukaibi, F. (2020) “System Reliability as a Surrogate Measure of Safety for Horizontal Curves: Methodology and Case Studies”, Transportmetrica A: Transport Science, Vol. 16, No. 3, pp. 957–986.
• Alsaleh, R., Hussein, M. and Sayed, T. (2020) “Microscopic Behavioural Analysis of Cyclists and Pedestrians Interactions in Shared Space”, Canadian Journal of Civil Engineering, Vol. 47, pp. 50–62.
• Zheng, L., Sayed, T. and Guo, Y. (2020) “Investigating factors that influence pedestrian and cyclist violations on shared use path: an observational study on the Brooklyn Bridge promenade”, International Journal of Sustainable Transportation, Vol. 14, No. 7, pp. 503–512.
• Guo, Y., Sayed, T. and Zaki, M. (2020) “Examining Two-wheelers’ Overtaking Behavior and Lateral Distance Choices at a Shared Roadway Facility”, Journal of Transportation Safety and Security, Vol. 12, Issue 8,pp. 1046-1066.

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