| Improved support vector machine models for work zone crash injury severity prediction and analysis S Mokhtarimousavi, JC Anderson, A Azizinamini, M Hadi Transportation research record 2673 (11), 680-692, 2019 | 110 | 2019 |
| Factors affecting injury severity in vehicle-pedestrian crashes: A day-of-week analysis using random parameter ordered response models and Artificial Neural Networks S Mokhtarimousavi, JC Anderson, A Azizinamini, M Hadi International journal of transportation science and technology 9 (2), 100-115, 2020 | 87 | 2020 |
| A non-dominated sorting genetic algorithm approach for optimization of multi-objective airport gate assignment problem S Mokhtarimousavi, D Talebi, H Asgari Transportation research record 2672 (23), 59-70, 2018 | 47 | 2018 |
| Machine learning approach for flight departure delay prediction and analysis E Esmaeilzadeh, S Mokhtarimousavi Transportation Research Record 2674 (8), 145-159, 2020 | 44 | 2020 |
| A Time of Day Analysis of Pedestrian-Involved Crashes in California: Investigation of Injury Severity, a Logistic Regression and Machine Learning Approach Using HSIS Data S Mokhtarimousavi Institute of Transportation Engineers. ITE Journal 89 (10), 25-33, 2019 | 44 | 2019 |
| Multi-objective mathematical modeling of aircraft landing problem on a runway in static mode, scheduling and sequence determination using NSGA-II S Mokhtarimousavi, H Rahami, A Kaveh INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING 5 (1), 21-36, 2015 | 28 | 2015 |
| Severity analysis of crashes on express lane facilities using support vector machine model trained by firefly algorithm AE Kitali, S Mokhtarimousavi, C Kadeha, P Alluri Traffic injury prevention 22 (1), 79-84, 2021 | 18 | 2021 |
| A temporal investigation of crash severity factors in worker-involved work zone crashes: Random parameters and machine learning approaches S Mokhtarimousavi, JC Anderson, M Hadi, A Azizinamini Transportation research interdisciplinary perspectives 10, 100378, 2021 | 17 | 2021 |
| 8R Resilience Model: A stakeholder-centered approach of disaster resilience for transportation infrastructure and network SA Morshed, M Arafat, S Mokhtarimousavi, SS Khan, K Amine Transportation Engineering 4, 100058, 2021 | 15 | 2021 |
| Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis S Mokhtarimousavi, A Mehrabi International Journal of Transportation Science and Technology 12 (1), 230-244, 2023 | 13 | 2023 |
| Severity of worker-involved work zone crashes: A study of contributing factors S Mokhtarimousavi, A Azizinamini, M Hadi International Conference on Transportation and Development 2020, 47-59, 2020 | 11 | 2020 |
| COVID-19 and injury severity of drivers involved in run-off-road crashes: analyzing the impact of contributing factors S Mokhtarimousavi, AE Kitali, JC Anderson, P Alluri, A Mehrabi Transportation Research Record, 03611981221097093, 2022 | 10 | 2022 |
| Determination of the aircraft landing sequence by two meta-heuristic algorithms S Mokhtarimousavi, H Rahami, M Saffarzadeh, S Piri International Journal of Transportation Engineering 1 (4), 271-284, 2014 | 10 | 2014 |
| Reimagining the future of transportation with personal flight: Preparing and planning for urban air mobility A Cohen, J Guan, M Beamer, R Dittoe, S Mokhtarimousavi | 7 | 2020 |
| Evolutionary training approaches for machine learning models for analyzing classification imbalanced crash datasets S Mokhtarimousavi, M Hadi, E Sadeghvaziri, A Azizinamini Transportation Research Board 100th Annual MeetingTransportation Research …, 2021 | 2 | 2021 |
| Work Zone Safety Analysis, Investigating Benefits from Accelerated Bridge Construction (ABC) on Roadway Safety S Mokhtarimousavi | 1 | 2020 |
Jason C. AndersonSenior Research Associate, Portland State UniversityDirección de correo verificada de pdx.edu
