| Evaluation of Reservation-based Intersection Control Algorithm for Hurricane Evacuation with Autonomous Vehicles Y Chang, P Edara International Journal of Disaster Risk Reduction, 2017 | 19 | 2017 |
| Traffic flow modeling of diverse work zone activities N Bharadwaj, P Edara, C Sun, H Brown, Y Chang Transportation research record 2672 (16), 23-34, 2018 | 17 | 2018 |
| Road Network State Estimation Using Random Forest Ensemble Learning Y Hu, P Edara, Y Chang 20th IEEE Intelligent Transportation System, http://ieeexplore.ieee.org …, 2017 | 16 | 2017 |
| Predicting Hazardous Events in Work Zones Using Naturalistic Driving Data Y Chang, P Edara 20th IEEE Intelligent Transportation System, http://ieeexplore.ieee.org …, 2017 | 13 | 2017 |
| Exploring contributing factors of hazardous events in construction zones using naturalistic driving study data Y Chang, N Bharadwaj, P Edara, C Sun IEEE Transactions on Intelligent Vehicles 5 (3), 519-527, 2020 | 10 | 2020 |
| AReBIC: Autonomous Reservation-Based Intersection Control for Emergency Evacuation Y Chang, P Edara Intelligent Vehicles Symposium (IV), 2017 IEEE, 2017 | 9 | 2017 |
| Neural network-based OD matrix estimation from link traffic counts D Kim, Y Chang International Journal of Urban Sciences 12 (2), 146-157, 2008 | 8 | 2008 |
| Understanding the Impacts of Work Zone Activities on Traffic Flow Characteristics P Edara, N Bharadwaj, C Sun, Y Chang, H Brown | 3 | 2018 |
| Hampton Roads Hurricane evacuation: Evaluation of Incident Effects and Network Treatments E Praveen, Y Chang Virginia Center for Transportation Innovation and Research, 2015 | 3 | 2015 |
| Data-Driven Traffic Impact Assessment Tool for Work Zones P Edara, Y Chang, C Sun, H Brown | 2 | 2017 |
| Origin-Destination Matrix Estimation Method from Partially-Observed Link Counts Using Artificial Neural Networks Y Chang Chonnam National University, 2010 | 2 | 2010 |
| Neural Network-Based Combined Synthetic Model of Trip Generation and Distribution D Kim, Y Chang, KU Yang International Journal of Urban Sciences 12 (1), 18-27, 2008 | 2 | 2008 |
| Applying an Explanatory Analysis for Hotspot Identification in Tourist Attraction SH Park, Y Chang 2021 IEEE Region 10 Symposium (TENSYMP), 1-7, 2021 | 1 | 2021 |
| Optimizing Intermediate Crossovers and Ramp Closures for Hurricane Evacuation Y Chang, P Edara International Journal of Transportation 4, 69-80, 2016 | 1 | 2016 |
| South Florida Park and Ride (PNR) Market Size/ Demand Estimation using ACS CTPP 2012-2016 and LODES Y Chang, K Kim, A Kumar, K Ffrench 99th Transportation Research Board Meeting (TRB), 2020 | | 2020 |
| Open-DOMEiM: An Open-Data-Driven Hybrid Origin-Destination Trip Matrix Estimation Model integrating with Machine Learning Techniques Y Chang, D Kim International Journal of Transportation 7 (3), 35-44, 2019 | | 2019 |
| Dwell Time Estimation for BRT routes using Real-Time GTFS Data Y Chang, K Kim International Journal of Transportation 7 (3), 1-14, 2019 | | 2019 |
| GENESIS: Trip Generation Model using ACS, CTPP and NHTS data K Kim, Y Chang 98th Transportation Research Meeting (TRB), 2019 | | 2019 |
| Displaying Key Project Ridership Measures from STOPS through Interactive Reporting A Kumar, Y Chang, K Kim, A Kocatepe, S Rapolu 98th Transportation Research Meeting (TRB), 2019 | | 2019 |
| Analysis and Classification of Crashes and Near-Crashes involving 16-19 year old drivers Y Chang, N Bharadwaj, P Edara, C Sun Seventh International Symposium on Naturalistic Driving Research (NDRS 2018), 2018 | | 2018 |
Praveen EdaraUniversity of MissouriAdresse e-mail validée de missouri.edu
