| Mode choice and number of non-work stops during the commute: Application of a copula-based joint model A Rasaizadi, M Kermanshah Scientia Iranica 25 (3), 1039-1047, 2018 | 13 | 2018 |
| Car ownership: A joint model for number of cars and fuel types S Seyedabrishami, A Rasaizadi, HS Rayaprolu, R Moeckel Transportation Research Procedia 41, 2019 | 11 | 2019 |
| A Copula-Based Joint Model to Capture the Interaction between Mode and Departure Time Choices in Urban Trips S Seyedabrishami, A Rasaizadi Transportation Research Procedia 41, 722-730, 2019 | 10 | 2019 |
| Short-term prediction of traffic state for a rural road applying ensemble learning process A Rasaizadi, S Seyedabrishami, M Saniee Abadeh Journal of advanced transportation 2021, 1-14, 2021 | 9 | 2021 |
| How COVID-19 pandemic affected urban trips? Structural interpretive model of online shopping and passengers trips during the pandemic M Ghodsi, A Ardestani, A Rasaizadi, S Ghadamgahi, H Yang Sustainability 13 (21), 11995, 2021 | 8 | 2021 |
| The interaction between activity choice and duration: Application of copula-based and nested-logit models F Jafari Shahdani, A Rasaizadi, S Seyedabrishami Scientia Iranica 28 (4), 2037-2052, 2021 | 8 | 2021 |
| Traffic management via traffic parameters prediction by using machine learning algorithms. A Rasaizadi, A Ardestani, SE Seyedabrishami International Journal of Human Capital in Urban Management 6 (1), 2021 | 8 | 2021 |
| Effect of family structure on urban areas modal split by using the life cycle concept MA Arash Rasaizadi International Journal of Human Capital in Urban Management 5 (2), 165-174, 2020 | 8 | 2020 |
| Machine learning approach versus probabilistic approach to model the departure time of non-mandatory trips A Rasaizadi, I Farzin, F Hafizi Physica A: Statistical Mechanics and its Applications 586, 126492, 2022 | 6 | 2022 |
| Short-term prediction of traffic state, statistical approach versus machine learning approach A Rasaizadi, E Sherafat, S Seyedabrishami Scientia Iranica, 2021 | 6 | 2021 |
| Traffic state prediction by machine learning algorithms for short-term and mid-term prediction time horizons SES Arash Rasaizadi Amirkabir Journal of Civil Engineering, 2021 | 5* | 2021 |
| Expanding the VBN theory on succeeding the transportation demand management policies A Mahpour, I Farzin, A Rasaizadi, S Ashouri Transportation Research Interdisciplinary Perspectives 21, 100903, 2023 | 4 | 2023 |
| Spatial-temporal analysis of crash severity: multisource data fusion approach A Taheri, A Rasaizadi, S Seyedabrishami Discrete dynamics in nature and society 2022, 2022 | 3 | 2022 |
| Stacking ensemble learning process to predict rural road traffic flow A Rasaizadi, S Seyedabrishami Journal of advanced transportation 2022, 2022 | 2 | 2022 |
| Analysis of the interaction between destination and departure time choices A Rasaizadi, S Seyedabrishami Scientia Iranica 28 (5), 2471-2478, 2021 | 2 | 2021 |
| Airplane selection to renovate air transportation system: a multi-criteria decision- making problem NN Arash Rasaizadi, Ali Ardestani Advance Researches in Civil Engineering 3 (3), 61-75, 2021 | 1 | 2021 |
| The effect of coronavirus restrictions on air quality and exiting daily traffic M Moghadami, A Rasaizadi, M Askari International Journal of Human Capital in Urban Management 5 (4), 331-338, 2020 | 1 | 2020 |
| Dimensions management of traffic big data for short-term traffic prediction on suburban roadways A Rasaizadi, F Hafizi, S Seyedabrishami Scientific reports 14 (1), 1484, 2024 | | 2024 |
| The ensemble learning process for short-term prediction of traffic state on rural roads A Rasaizadi, F Hafizi, S Seyedabrishami Handbook on Artificial Intelligence and Transport, 102-123, 2023 | | 2023 |
| The short-term prediction of traffic parameters: a review of parametric and nonparametric approaches A Taheri, R Moghadasi, A Rasaizadi AUT Journal of Civil Engineering 6 (3), 3-3, 2023 | | 2023 |
Seyedehsan SeyedabrishamiSenior Research Fellow in Transport EngineeringVerified email at sydney.edu.au
