COOPERATIVE TRAFFIC MONITORING

Travelers’ rationality in anticipatory online emergency response.Sole PI Park (NCA&T) Sponsor: USDOT Tier 1 CATM 2/2018 – 8/2019 Abstract Exhibit F

Deep Learning Software for Traffic State Prediction. PI, Co-PI Park (NCA&T) Sponsor: NC Transportation Center of Excellence in Advanced Technology Mobility and Congestion. 8/2020 – 7/2022.

Information-theoretic Route Planning for Aerial and Ground Vehicles. 2019 Visiting Professor Park (NCA&T) Sponsor: NASA JPL Collaboration with Robotics Group PI Ono 5/2019 – 8/2019 Abstract.

Roadside Truck Placard Readers for Advanced Notice and Response at Safety- Critical Facilities. Co-PI Park (NCA&T) PI: Alden (VTTI) VTRC 114591, Sponsor: VDOT 11/2018 – 9/2019 Abstract VTRC WEBSITE.

Advanced Traffic Analysis of Aerial Video Data. PI Park (NCA&T), Co-PI: Yi (NCA&T) Sponsor: NCDOT, 3/2019 – 8/2019

Research Output

Simulation-Based Optimization of Emergency Response Considering Rationality of Travelers, D. Waddell, N. Pugh, K. Shirzad, H. Park, Proceedings of the The 98th Annual Meeting of TRB2019, #19-05975, 2019.

Online Optimization with Look-Ahead for Freeway Emergency Vehicle Dispatching considering Availability, H. Park, D., Waddel, A. Haghani, Transportation Research Part C: Emerging Technologies, in Production.

Real-time crash prediction and avoidance under unexpected traffic congestion, H. Park, A. Haghani, M.A. Knodler, S. Samuel, Accident Analysis & Prevention 112, 39-49, 2018

Visualization-based Dynamic Dispatching of First Responders.D. Waddell, N. Pugh, H. Park. Proceedings of theThe 98th Annual Meeting of TRB2019, #19-05569, 2019.

Prediction of Secondary Crash Likelihood considering Incident Duration using High Order Markov Model. N. Pugh, H. Park. Proceedings of the IEEE SoutheastCon 2019, Huntsville, AL, April 2019.

Stochastic emergency response location model considering secondary incidents on freeways. H. Park. Ali Shafahi, Ali Haghani, IEEE Transactions on Intelligent Transportation Systems, 17 (9), 2528-2540, 2016.

Real-time prediction of secondary incident occurrences using vehicle probe data. H. Park. Ali Haghani, Transportation Research Part C: Emerging Technologies, 70, 69–85, 2016.

Stochastic Capacity Adjustment Considering Secondary Incidents. H. Park. Ali Haghani, IEEE Transactions on Intelligent Transportation Systems, 17 (10), 2843 – 2853, 2016.

Interpretation of Bayesian neural networks for predicting the duration of detected incidentsl. H. Park, Ali Haghani, Xin Zhang, Journal of Intelligent Transportation Systems, 20 (4), 385-400, 2016.