| Graph Neural Networks for Intelligent Transportation Systems: A Survey S Rahmani, A Baghbani, N Bouguila, Z Patterson IEEE Transactions on Intelligent Transportation Systems 24 (8), 8846 - 8885, 2023 | 114 | 2023 |
| Incorporating instantaneous reaction delay in car-following models: a hybrid approach M Rafati Fard, S Rahmani, A Shariat Mohaymany Transportation research record 2675 (10), 1297-1311, 2021 | 7 | 2021 |
| A Bi-Level Real-Time Microsimulation Framework for Modeling Two-Dimensional Vehicular Maneuvers at Intersections S Rahmani, J Neumann, LE Suryana, C Theunisse, SC Calvert, ... 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 2 | 2023 |
| Predictors of Walking Duration Time and Walking Mode: Duration and Logit Models On Tour-Based Data A Baghbani, MA SHARIAT, S RAHMANI, A Sayad, M MEHDIZADEH JOURNAL OF TRANSPORTATION ENGINEERING 11 (24300809), 283-298, 2020 | 2 | 2020 |
| Characterizing Behavioral Differences and Adaptations of Automated Vehicles and Human Drivers at Unsignalized Intersections: Insights from Waymo and Lyft Open Datasets S Rahmani, Z Xu, SC Calvert, B van Arem arXiv preprint arXiv:2410.12538, 2024 | | 2024 |
| A Systematic Review of Edge Case Detection in Automated Driving: Methods, Challenges and Future Directions S Rahmani, S Rieder, E de Gelder, M Sonntag, JL Mallada, S Kalisvaart, ... arXiv preprint arXiv:2410.08491, 2024 | | 2024 |
| Hi-Drive D4. 5 Effects evaluation methods L Vater, E Aittoniemi, A Bjorvatn, F Fahrenkrog, C Flechon, S Innamaa, ... | | 2023 |
| Predicting Passenger Flow Using Graph Neural Networks with Scheduled Sampling on Bus Networks A Baghbani, S Rahmani, N Bouguila, Z Patterson 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | | 2023 |
| Inferring City-wide Travel Patterns Using Mobile Phone Data (Call Detail Records): Case Study of Tehran M Darvishzadeh Kakhki, S Rahmani, A Shariat Mohaymany, C Abdollahi Quarterly Journal of Transportation Engineering 14 (3), 2727-2749, 2023 | | 2023 |
| Hi-Drive Deliverable D4. 1/Research Questions B Metz, J Wörle, M Metzulat, E Aittoniemi, S Innamaa, T Itkonen, ... | | 2023 |
| Hi-Drive D4. 1 Research questions: Version 1.0 B Metz, J Wörle, M Metzulat, E Aittoniemi, S Innamaa, T Itkonen, ... | | 2023 |
| Multi-Step Short-Term Passenger Flow Prediction in Bus Networks Using Graph-Based Deep Learning Model A Baghbani, S Rahmani, N Bouguila, Z Patterson Transportation Research Board 102nd Annual Meeting, 2023 | | 2023 |
| Hi-Drive D4. 2 Data for Evaluation: Version 1.0 F Fahrenkrog, S Innamaa, H Weber, E Lehtonen, T Itkonen, A Bolovinou, ... | | 2022 |
| A Hybrid Neural Network Based Car-Following Model With Variable Reaction Delay MR Fard, AS Mohaymany, S Rahmani Transportation Research Board 97th Annual MeetingTransportation Research Board, 2019 | | 2019 |
| Spatio-temporal analyses of motorcycle traffic accidents; case study: Mashhad, Iran M Shahri, A Shariat Mohaymany, S Rahmani Road Safety & Simulation International Conference, Delft University of …, 2017 | | 2017 |
| Explanatory spatial analysis of urban traffic crashes by developing semi-parametric geographically weighted Poisson regression A Shariat Mohaymany, M Shahri, S Rahmani Road Safety & Simulation International Conference, Delft University of …, 2017 | | 2017 |
| Studying the dynamics and spatiotemporal interdependencies of traffic flow in heterogeneous conditions S Rahmani Iran University of Science and Technology, 2017 | | 2017 |
| Analyzing lateral position of vehicles using image processing techniques—Case Study: Tehran, Iran S Rahmani, AS Mohaymany 16th International Conference on Traffic and Transportation Engineering, 2016 | | 2016 |
| Developing an AI-Based Framework for Modeling Autonomous Vehicles in Microsimulation S Rahmani | | |
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