| Multisensor data fusion: A review of the state-of-the-art B Khaleghi, A Khamis, FO Karray, SN Razavi Information fusion 14 (1), 28-44, 2013 | 2365 | 2013 |
| Using a deep reinforcement learning agent for traffic signal control W Genders, S Razavi arXiv preprint arXiv:1611.01142, 2016 | 400 | 2016 |
| Traffic capacity implications of automated vehicles mixed with regular vehicles A Olia, S Razavi, B Abdulhai, H Abdelgawad Journal of Intelligent Transportation Systems 22 (3), 244-262, 2018 | 214 | 2018 |
| Assessing the Potential Impacts of Connected Vehicles: Mobility, Environmental and Safety Perspectives Olia, Arash, Abdelgawad, Hossam, Abdulhai, Baher, Razavi, Saiedeh N. Journal of Intelligent Transportation Systems: Technology, Planning, and …, 2015 | 182* | 2015 |
| Multisensor data fusion for on-site materials tracking in construction SN Razavi, CT Haas Automation in construction 19 (8), 1037-1046, 2010 | 134 | 2010 |
| Evaluating reinforcement learning state representations for adaptive traffic signal control W Genders, S Razavi Procedia computer science 130, 26-33, 2018 | 117 | 2018 |
| Impact of connected vehicle on work zone network safety through dynamic route guidance W Genders, SN Razavi Journal of Computing in Civil Engineering 30 (2), 04015020, 2016 | 114 | 2016 |
| Low false alarm rate model for unsafe-proximity detection in construction J Wang, SN Razavi Journal of Computing in Civil Engineering 30 (2), 04015005, 2016 | 92 | 2016 |
| A cognitive advanced driver assistance systems architecture for autonomous-capable electrified vehicles KP Divakarla, A Emadi, S Razavi IEEE Transactions on Transportation Electrification 5 (1), 48-58, 2018 | 89 | 2018 |
| Asynchronous n-Step Q-learning Adaptive Traffic Signal Control W Genders, S Razavi Journal of Intelligent Transportation Systems Technology, Planning, and …, 2018 | 88 | 2018 |
| Using reference RFID tags for calibrating the estimated locations of construction materials SN Razavi, CT Haas Automation in Construction 20 (6), 677-685, 2011 | 84 | 2011 |
| GPS-less indoor construction location sensing SN Razavi, O Moselhi Automation in Construction 28, 128-136, 2012 | 78 | 2012 |
| Applications of machine learning methods in port operations–A systematic literature review S Filom, AM Amiri, S Razavi Transportation Research Part E: Logistics and Transportation Review 161, 102722, 2022 | 75 | 2022 |
| Data-fusion approaches and applications for construction engineering SM Shahandashti, SN Razavi, L Soibelman, M Berges, CH Caldas, ... Journal of construction engineering and management 137 (10), 863-869, 2011 | 74 | 2011 |
| An implementation model for automated construction materials tracking and locating HNH Nasir, CTHCT Haas, DAYDA Young, SNRSN Razavi, CCC Caldas, ... Canadian Journal of Civil Engineering 37 (4), 588-599, 2010 | 52 | 2010 |
| Reliability-based hybrid data fusion method for adaptive location estimation in construction SN Razavi, CT Haas Journal of Computing in Civil Engineering 26 (1), 1-10, 2012 | 49 | 2012 |
| Factors that influence older Canadians’ preferences for using autonomous vehicle technology: A structural equation analysis HM Hassan, MR Ferguson, S Razavi, B Vrkljan Transportation research record 2673 (1), 469-480, 2019 | 46 | 2019 |
| An open-source framework for adaptive traffic signal control W Genders, S Razavi arXiv preprint arXiv:1909.00395, 2019 | 45 | 2019 |
| Evaluation of connected vehicle impact on mobility and mode choice S Minelli, P Izadpanah, S Razavi Journal of traffic and transportation engineering (English edition) 2 (5 …, 2015 | 43 | 2015 |
| Locating sensor nodes on construction projects F Caron, SN Razavi, J Song, P Vanheeghe, E Duflos, C Caldas, C Haas Autonomous Robots 22 (3), 255-263, 2007 | 43 | 2007 |