| Data mining approach to model bus crash severity in Australia SA Samerei, K Aghabayk, A Mohammadi, N Shiwakoti Journal of safety research 76, 73-82, 2021 | 61 | 2021 |
| Using latent class clustering and binary logistic regression to model Australian cyclist injury severity in motor vehicle–bicycle crashes SA Samerei, K Aghabayk, N Shiwakoti, A Mohammadi Journal of safety research 79, 246-256, 2021 | 50 | 2021 |
| Modelling bus-pedestrian crash severity in the state of Victoria, Australia SA Samerei, K Aghabayk, N Shiwakoti, S Karimi International journal of injury control and safety promotion 28 (2), 233-242, 2021 | 42 | 2021 |
| Occupational health and job satisfaction assessment of bus rapid transit (BRT) drivers SA Samerei, K Aghabayk, A Soltani Journal of Public Transportation 24, 100002, 2022 | 15 | 2022 |
| Evaluating safety issues for taxi transport management K Aghabayk, S Rejali, SA Samerei, N Shiwakoti Journal of advanced transportation 2021 (1), 6638640, 2021 | 14 | 2021 |
| Validation of the driver behavior questionnaire in a representative sample of Iranian drivers N Parishad, K Aghabayk, R Rezaie, A Samerei, A Mohammadi Civil Engineering Infrastructures Journal 53 (1), 161-171, 2020 | 11 | 2020 |
| Analyzing the transition from two-vehicle collisions to chain reaction crashes: A hybrid approach using random parameters logit model, interpretable machine learning, and … SA Samerei, K Aghabayk Accident Analysis & Prevention 202, 107603, 2024 | 9 | 2024 |
| Underground metro drivers: Occupational problems and job satisfaction SA Samerei, K Aghabayk, MH Akbarzade Urban Rail Transit 6 (3), 171-184, 2020 | 9 | 2020 |
| Analyzing pile-up crash severity: Insights from real-time traffic and environmental factors using ensemble machine learning and shapley additive explanations method SA Samerei, K Aghabayk, A Montella Safety 10 (1), 22, 2024 | 5 | 2024 |
| Driving time prediction at freeway interchanges using artificial neural network and particle swarm optimization H Behbahani, SM Hosseini, SA Samerei, A Taherkhani, H Asadi Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2020 | 4 | 2020 |
| Proposing new methods to estimate the safety level in different parts of freeway interchanges H Behbahani, SM Hosseini, A Taherkhani, H Asadi, SA Samerei Advances in Civil Engineering 2018 (1), 8702854, 2018 | 4 | 2018 |
| Interpretable machine learning for evaluating risk factors of freeway crash severity SA Samerei, K Aghabayk International journal of injury control and safety promotion, 1-17, 2024 | 1 | 2024 |
| Exploring interacting effects of risk factors on run-off-road crash severity: An interpretable machine learning model joint with latent class clustering SA Samerei, K Aghabayk IATSS Research 48 (2), 261-274, 2024 | | 2024 |
| Factors Associated with Driver Distraction: Influence of Risk Taking, Risk Perception, and Crash History A Mehditabrizi, K Aghabayk, SA Samerei, S Saleh Namadi, A Stephens Transportation Research Board 103rd Annual MeetingTransportation Research Board, 2024 | | 2024 |
| Proposing new traffic operation index to improve interchange type selection procedure H Behbahani, SM Hosseini, H Asadi, SA Samerei, A Taherkhani Proceedings of the Institution of Civil Engineers-Transport 174 (7), 441-457, 2021 | | 2021 |
| Predicting Density in Weaving Areas by Developing Trajectory Data-Based Models Using Artificial Neural Network and Particle Swarm Optimization H Behbahani, SM Hosseini, H Asadi, SA Samerei International Journal of Engineering and Management Research (IJEMR) 7 (2 …, 2017 | | 2017 |
| Predicting Density in Merge and Diverge Areas Based on their Geometry and Traffic Characteristics using Metaheuristic Procedure H Behbahani, SM Hosseini, SA Samerei, A Taherkhani International Journal of Engineering and Management Research (IJEMR) 7 (2 …, 2017 | | 2017 |
Kayvan AghabaykAssociate Professor, University of Tehran在 ut.ac.ir 的电子邮件经过验证
