| Decoding pedestrian and automated vehicle interactions using immersive virtual reality and interpretable deep learning A Kalatian, B Farooq Transportation Research Part C: Emerging Technologies 124, 102962, 2021 | 24 | 2021 |
| Travel Mode Detection Exploiting Cellular Network Data A Kalatian, Y Shafahi MATEC Web of Conferences 81, 03008, 2016 | 17 | 2016 |
| A context-aware pedestrian trajectory prediction framework for automated vehicles A Kalatian, B Farooq Transportation Research Part C: Emerging Technologies 134, 103453, 2022 | 16 | 2022 |
| DeepWait: Pedestrian Wait Time Estimation in Mixed Traffic Conditions Using Deep Survival Analysis A Kalatian, B Farooq 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2034-2039, 2019 | 10* | 2019 |
| Mobility Mode Detection Using WiFi Signals A Kalatian, B Farooq 2018 IEEE International Smart Cities Conference (ISC2), 1-7, 2018 | 10 | 2018 |
| Analysis of pedestrian stress level using GSR sensor in virtual immersive reality M Mudassar, A Kalatian, B Farooq arXiv preprint arXiv:2111.11492, 2021 | 8 | 2021 |
| A semi-supervised deep residual network for mode detection in Wi-Fi signals A Kalatian, B Farooq Journal of Big Data Analytics in Transportation 2 (2), 167-180, 2020 | 7 | 2020 |
| Analysis of distracted pedestrians' waiting time: Head-Mounted Immersive Virtual Reality application A Kalatian, A Sobhani, B Farooq Proceedings of Pedestrian and Evacuation Dynamics 2018, 2019 | 7 | 2019 |
| Ordered-logit pedestrian stress model for traffic flow with automated vehicles K Kamal, B Farooq, M Mudassar, A Kalatian 2022 IEEE Intelligent Vehicles Symposium (IV), 1831-1834, 2022 | 3 | 2022 |
| Multi-task Recurrent Neural Networks to Simultaneously Infer Mode and Purpose in GPS Trajectories A Yazdizadeh, A Kalatian, Z Patterson, B Farooq arXiv preprint arXiv:2110.12113, 2021 | | 2021 |
Bilal FarooqToronto Metropolitan UniversityVerified email at ryerson.ca
