Ren Wang
Ren Wang
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Zitiert von
Zitiert von
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
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
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
Data driven approaches for passenger train delay estimation
R Wang, DB Work
2015 IEEE 18th International Conference on Intelligent Transportation …, 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
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
Joint parameter and state estimation algorithms for real-time traffic monitoring
R Wang, DB Work
NEXTRANS Center (US), 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
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
Hybrid state estimation applications for joint traffic monitoring and incident detection
R Wang
University of Illinois at Urbana-Champaign, 2015
Application of High Order Traffic Flow Models for Incident Detection and Modeling Multiclass Flow
S Fan, R Wang, DB Work
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