Analyzing the effects of congestion on planning time index–Grey models vs. random forest regression SA Zargari, N Amoei Khorshidi, H Mirzahossein, H Heidari International Journal of Transportation Science and Technology 12 (2), 578-593, 2023 | 8 | 2023 |
Comparative approach for predicting travel time reliability (a case study of Virginia interstate) S Afandizadeh Zargari, N Amoei Khorshidi, H Mirzahossein, N Kalantari Innovative Infrastructure Solutions 6 (4), 229, 2021 | 6 | 2021 |
Travel time reliability prediction by genetic algorithm and machine learning models SA Zargari, N Amoei Khorshidi, H Mirzahossein, S Shakoori, X Jin Proceedings of the Institution of Civil Engineers-Transport, 1-10, 2022 | 1 | 2022 |
Planning level estimation of travel time reliability for virginia interstate highways SA Zargari, N Amoei Khorshidi, N Kalantari Transportation Research Board 100th Annual MeetingTransportation Research …, 2021 | 1 | 2021 |
Application of Data Augmentation Techniques in Predicting Travel Time Reliability: Evidence from England SA Zargari, N Khorshidi, H Mirzahossein, X Jin Iranian Journal of Science and Technology, Transactions of Civil Engineering …, 2024 | | 2024 |
Predicting the fluctuation of travel time reliability as a result of congestion variations by bagging-based regressors S Afandizadeh, N Amoei Khorshidi, H Mirzahossein, S Shakoori Civil Engineering Infrastructures Journal, 2023 | | 2023 |
How Far Have We Delved Deep into The Travel Time Prediction Methods? A Review of the Studies from 2010 to 2020 SA Zargari, N Amoei Khorshidi, H Mirzahossein 19th International Conference on Transportation and Traffic Engineering …, 2023 | | 2023 |
Estimation of Travel Time Index Using Machine Learning Methods S Afandizadeh, N Amoei Khorshidi, N Kalantari Journal of Transportation Research 19 (1), 13-28, 2022 | | 2022 |