| Crowd model calibration at strategic, tactical, and operational levels: Full-spectrum sensitivity analyses show bottleneck parameters are most critical, followed by exit-choice … M Haghani, M Sarvi Transportation letters 16 (4), 354-381, 2024 | 6 | 2024 |
| A Deep Wavelet-Fourier Method for Monaural Vehicle Speed Estimation in Real-Life Settings H Parineh, M Sarvi, SA Bagloee IEEE Sensors Journal, 2024 | | 2024 |
| Spatial-temporal Forecasting for Regions without Observations X Su, J Qi, E Tanin, Y Chang, M Sarvi arXiv preprint arXiv:2401.10518, 2024 | | 2024 |
| A robust machine learning structure for driving events recognition using smartphone motion sensors M Zarei Yazd, I Taheri Sarteshnizi, A Samimi, M Sarvi Journal of Intelligent Transportation Systems 28 (1), 54-68, 2024 | 5 | 2024 |
| Temporal pattern mining of urban traffic volume data: A pairwise hybrid clustering method I Taheri Sarteshnizi, M Sarvi, SA Bagloee, N Nassir Transportmetrica B: Transport Dynamics 11 (1), 2185496, 2023 | 5 | 2023 |
| Detecting emergency vehicles With 1D-CNN using fourier processed audio signals H Parineh, M Sarvi, SA Bagloee Measurement 223, 113784, 2023 | 1 | 2023 |
| -DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments M Goudarzi, MA Rodriguez, M Sarvi, R Buyya IEEE Transactions on Services Computing, 2023 | 1 | 2023 |
| Evaluation of incremental deep learning approach on real-time traffic prediction M Ghanbari, SA Bagloee, ZM Aye, M Sarvi Australasian Transport Research Forum (ATRF), 44th, 2023, Perth, Western …, 2023 | | 2023 |
| Lightweight traffic anomaly detection: A case study with SCATS volume data of Melbourne IT Sarteshnizi, M Sarvi, SA Bagloee, N Nassir, ZMM Aye Australasian Transport Research Forum (ATRF), 44th, 2023, Perth, Western …, 2023 | | 2023 |
| Warm-starting the rolling horizon-based traffic volume prediction using neural networks ZM Aye, SA Bagloee, M Sarvi, M Yazdani Australasian Transport Research Forum (ATRF), 44th, 2023, Perth, Western …, 2023 | | 2023 |
| A Dynamic Discrete Choice Modelling Approach for Forward-Looking Travel Mode Choices J Leong, N Nassir, SS Mohri, M Sarvi Available at SSRN 4760806, 2023 | | 2023 |
| Traffic Anomaly Detection: Exploiting Temporal Positioning of Flow-Density Samples IT Sarteshnizi, SA Bagloee, M Sarvi, N Nassir IEEE Transactions on Intelligent Transportation Systems, 2023 | 1 | 2023 |
| Standards relevant to automated driving system safety: A systematic assessment S Ballingall, M Sarvi, P Sweatman Transportation Engineering 13, 100202, 2023 | 1 | 2023 |
| Transferable supervised learning model for public transport service load estimation T Yin, N Nassir, J Leong, E Tanin, M Sarvi Transportation, 1-26, 2023 | | 2023 |
| VU Research Portal F Alam, AN Toosi, MA Cheema, C Cicconetti, P Serrano, A Iosup, Z Tari, ... | | 2023 |
| Serverless vehicular edge computing for the internet of vehicles F Alam, AN Toosi, MA Cheema, C Cicconetti, P Serrano, A Iosup, Z Tari, ... IEEE Internet Computing 27 (4), 40-51, 2023 | 6 | 2023 |
| Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control M Yazdani, M Sarvi, SA Bagloee, N Nassir, J Price, H Parineh Transportation research part C: emerging technologies 149, 103991, 2023 | 24 | 2023 |
| How stair configurations in buildings affect pedestrian dynamics on stairs? A simulation study via an extended three-dimensional force-based model J Wang, J Ma, M Sarvi, T Chen, X Hu Safety science 159, 106031, 2023 | 4 | 2023 |
| Safety assurance for automated driving systems that can adapt using machine learning: a qualitative interview study S Ballingall, M Sarvi, P Sweatman Journal of safety research 84, 243-250, 2023 | 3 | 2023 |
| Value of Cross Box Data at the Intersection on Deep Reinforcement Learning based Traffic Signal M Yazdani, M Sarvi, SA Bagloee, N Nassir | | 2023 |
