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Rushdi Alsaleh
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Year
Assessing the effect of pedestrians’ use of cell phones on their walking behavior: A study based on automated video analysis
R Alsaleh, T Sayed, MH Zaki
Transportation research record 2672 (35), 46-57, 2018
672018
Modeling pedestrian-cyclist interactions in shared space using inverse reinforcement learning
R Alsaleh, T Sayed
Transportation research part F: traffic psychology and behaviour 70, 37-57, 2020
632020
Modeling pedestrian behavior in pedestrian-vehicle near misses: A continuous Gaussian Process Inverse Reinforcement Learning (GP-IRL) approach
P Nasernejad, T Sayed, R Alsaleh
Accident Analysis & Prevention 161, 106355, 2021
362021
Modeling the influence of mobile phone use distraction on pedestrian reaction times to green signals: A multilevel mixed-effects parametric survival model
Y Liu, R Alsaleh, T Sayed
Transportation research part F: traffic psychology and behaviour 81, 115-129, 2021
362021
Markov-game modeling of cyclist-pedestrian interactions in shared spaces: A multi-agent adversarial inverse reinforcement learning approach
R Alsaleh, T Sayed
Transportation research part C: emerging technologies 128, 103191, 2021
342021
Microscopic behavioural analysis of cyclist and pedestrian interactions in shared spaces
R Alsaleh, M Hussein, T Sayed
Canadian Journal of Civil Engineering 47 (1), 50-62, 2020
342020
Microscopic modeling of cyclists interactions with pedestrians in shared spaces: a Gaussian process inverse reinforcement learning approach
R Alsaleh, T Sayed
Transportmetrica A: transport science 18 (3), 828-854, 2022
322022
Modeling lateral interactions between motorized vehicles and non-motorized vehicles in mixed traffic using accelerated failure duration model
Y Liu, R Alsaleh, T Sayed
Transportmetrica A: transport science 18 (3), 910-933, 2022
222022
System reliability as a surrogate measure of safety for horizontal curves: Methodology and case studies
R Alsaleh, T Sayed, K Ismail, F AlRukaibi
Transportmetrica A: transport science 16 (3), 957-986, 2020
202020
Multiagent modeling of pedestrian-vehicle conflicts using Adversarial Inverse Reinforcement Learning
P Nasernejad, T Sayed, R Alsaleh
Transportmetrica A: transport science 19 (3), 2061081, 2023
172023
Can motorcyclist behavior in traffic conflicts be modeled? A deep reinforcement learning approach for motorcycle-pedestrian interactions
G Lanzaro, T Sayed, R Alsaleh
Transportmetrica B: transport dynamics 10 (1), 396-420, 2022
132022
Modeling pedestrian temporal violations at signalized crosswalks: A random Intercept parametric survival model
Y Liu, R Alsaleh, T Sayed
Transportation research record 2676 (6), 707-720, 2022
122022
Real-time travel time estimation in partial network coverage: A case study in Kuwait City
F Alrukaibi, R Alsaleh, T Sayed
Advances in transportation studies 44, 79-94, 2018
122018
Applying machine learning and statistical approaches for travel time estimation in partial network coverage
F Alrukaibi, R Alsaleh, T Sayed
Sustainability 11 (14), 3822, 2019
112019
Investigating the impact of correlation on system multimode reliability-based analysis of highway geometric design
G Lanzaro, R Alsaleh, T Sayed
Transportmetrica A: Transport Science 17 (4), 1027-1054, 2021
92021
Do road users play Nash Equilibrium? A comparison between Nash and Logistic stochastic Equilibriums for multiagent modeling of road user interactions in shared spaces
R Alsaleh, T Sayed
Expert Systems with Applications 205, 117710, 2022
82022
Incorporating design consistency into risk-based geometric design of horizontal curves: a reliability-based optimization framework
R Alsaleh, G Lanzaro, T Sayed
Transportmetrica A: transport science 20 (2), 2174356, 2024
12024
Modeling Motorcyclist–Pedestrian Near Misses: A Multiagent Adversarial Inverse Reinforcement Learning Approach
G Lanzaro, T Sayed, R Alsaleh
Journal of Computing in Civil Engineering 36 (6), 04022038, 2022
12022
Development of a multi-agent based simulation model for cyclist-pedestrian interactions in shared spaces
R Mah'd Alsaleh
University of British Columbia, 2021
12021
Modelling motorized and non-motorized vehicle conflicts using multiagent inverse reinforcement learning approach
Y Liu, R Alsaleh, T Sayed
Transportmetrica B: Transport Dynamics 12 (1), 2314762, 2024
2024
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Articles 1–20