| Comparing traffic state estimators for mixed human and automated traffic flows R Wang, Y Li, DB Work Transportation Research Part C: Emerging Technologies 78, 95-110, 2017 | 91 | 2017 |
| Multiple model particle filter for traffic estimation and incident detection R Wang, DB Work, R Sowers IEEE Transactions on Intelligent Transportation Systems 17 (12), 3461-3470, 2016 | 78 | 2016 |
| Efficient multiple model particle filtering for joint traffic state estimation and incident detection R Wang, S Fan, DB Work Transportation Research Part C: Emerging Technologies 71, 521-537, 2016 | 65 | 2016 |
| Data driven approaches for passenger train delay estimation R Wang, DB Work 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 52 | 2015 |
| Interactive multiple model ensemble Kalman filter for traffic estimation and incident detection R Wang, DB Work 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 37 | 2014 |
| Application of robust optimization in matrix-based LCI for decision making under uncertainty R Wang, D Work The International Journal of Life Cycle Assessment 19, 1110-1118, 2014 | 25 | 2014 |
| Joint parameter and state estimation algorithms for real-time traffic monitoring R Wang, DB Work NEXTRANS Center (US), 2013 | 3 | 2013 |
| Improving railroad grade crossing safety: accurate prediction of train arrival times for emergency response management and driver decision support DB Work, R Wang, W Barbour United States. Dept. of Transportation. Office of the Assistant Secretary …, 2019 | 2 | 2019 |
| Spillover detection for urban traffic networks using signal timing and stop line detector data R Wang, R Nair, A Pascale, D Work Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 2 | 2017 |
| Systems and methods for resolving points of interest on maps SA Weilert, R Studelska, R Wang, I Gutenko, F Ji, A Makhanov, A Rane, ... US Patent App. 18/200,254, 2024 | | 2024 |
| Hybrid state estimation applications for joint traffic monitoring and incident detection R Wang University of Illinois at Urbana-Champaign, 2015 | | 2015 |
| Application of High Order Traffic Flow Models for Incident Detection and Modeling Multiclass Flow S Fan, R Wang, DB Work | | 2014 |
Dan WorkVanderbilt UniversityVerified email at vanderbilt.edu
