| A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw M Ijaz, M Zahid, A Jamal Accident Analysis & Prevention 154, 106094, 2021 | 72 | 2021 |
| Predicting risky and aggressive driving behavior among taxi drivers: do spatio-temporal attributes matter? M Zahid, Y Chen, S Khan, A Jamal, M Ijaz, T Ahmed International journal of environmental research and public health 17 (11), 3937, 2020 | 72 | 2020 |
| Evaluation of short‐term freeway speed prediction based on periodic analysis using statistical models and machine learning models X Yang, Y Zou, J Tang, J Liang, M Ijaz Journal of Advanced Transportation 2020 (1), 9628957, 2020 | 62 | 2020 |
| A copula-based approach for accommodating the underreporting effect in wildlife‒vehicle crash analysis Y Zou, X Zhong, J Tang, X Ye, L Wu, M Ijaz, Y Wang Sustainability 11 (2), 418, 2019 | 38 | 2019 |
| Evaluating gender differences in injury severities of non-helmet wearing motorcyclists: accommodating temporal shifts and unobserved heterogeneity C Wang, M Ijaz, F Chen, Y Zhang, J Cheng, M Zahid Analytic methods in accident research 36, 100249, 2022 | 29 | 2022 |
| Investigation of factors influencing motorcyclist injury severity using random parameters logit model with heterogeneity in means and variances M Ijaz, L Lan, SM Usman, M Zahid, A Jamal International journal of crashworthiness 27 (5), 1412-1422, 2022 | 29 | 2022 |
| Comparative Analysis of the Reported Animal‐Vehicle Collisions Data and Carcass Removal Data for Hotspot Identification X Yang, Y Zou, L Wu, X Zhong, Y Wang, M Ijaz, Y Peng Journal of advanced transportation 2019 (1), 3521793, 2019 | 16 | 2019 |
| Temporal instability of factors affecting injury severity in helmet-wearing and non-helmet-wearing motorcycle crashes: a random parameter approach with heterogeneity in means … M Ijaz, L Liu, Y Almarhabi, A Jamal, SM Usman, M Zahid International journal of environmental research and public health 19 (17), 10526, 2022 | 12 | 2022 |
| Predicting Red Light Running Violation Using Machine Learning Classifiers MI Muhammad Zahid,Arshad Jamal, Yangzhou Chen,Tufail Ahmed Green Connected Automated Transportation and Safety 775, 137-148, 2022 | 6* | 2022 |
| Finite mixture survival model for examining the variability of urban arterial travel time for buses, passenger cars and taxis X Zhong, Y Zou, Z Dong, S Yuan, M Ijaz IET Intelligent Transport Systems 14 (12), 1524-1533, 2020 | 6 | 2020 |
| Implementing the Maximum Likelihood Method for Critical Gap Estimation under Heterogeneous Traffic Conditions A Jamal, M Ijaz, M Almosageah, HM Al-Ahmadi, M Zahid, I Ullah, ... Sustainability 14 (23), 15888, 2022 | 5 | 2022 |
| Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models C Wang, M Ijaz, F Chen, SM Easa, Y Zhang, J Cheng, M Zahid Journal of Transportation Safety & Security, 1-50, 2023 | 3 | 2023 |
| Differences in single-vehicle motorcycle crashes caused by distraction and overspeed behaviors: considering temporal shifts and unobserved heterogeneity in prediction C Wang, M Ijaz, F Chen, D Song, M Hou, Y Zhang, J Cheng, M Zahid International journal of injury control and safety promotion 30 (3), 375-391, 2023 | 3 | 2023 |
| Factors affecting injury severity in motorcycle crashes: Different age groups analysis using Catboost and SHAP techniques M Zahid, MF Habib, M Ijaz, I Ameer, I Ullah, T Ahmed, Z He Traffic injury prevention 25 (3), 472-481, 2024 | 1 | 2024 |
| Analysis of the injury severity of nonhelmeted motorcyclists colliding with vehicles. Y Yuwei, W Chenzhu, W Wei, C Jun, M Ijaz Journal of Southeast University (English Edition) 39 (2), 2023 | | 2023 |
Muhammad ZahidThe University of British Columbia在 ubc.ca 的电子邮件经过验证
