| Risk factors in work zone safety events: a naturalistic driving study analysis N Bharadwaj, P Edara, C Sun Transportation research record 2673 (1), 379-387, 2019 | 36 | 2019 |
| Evaluation of Reservation-based Intersection Control Algorithm for Hurricane Evacuation with Autonomous Vehicles Y Chang, P Edara International Journal of Disaster Risk Reduction, 2017 | 21 | 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 | 20 | 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 | 17 | 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 | 15 | 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 | 14 | 2020 |
| Traffic impact assessment of moving work zone operations P Edara, R Rahmani, H Brown, C Sun Smart Work Zone Deployment Initiative, 2017 | 12 | 2017 |
| AReBIC: Autonomous Reservation-Based Intersection Control for Emergency Evacuation Y Chang, P Edara Intelligent Vehicles Symposium (IV), 2017 IEEE, 2017 | 11 | 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 | 9 | 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 |
| PRiSm: Policy Recommendation Systems in Cadastral Survey Using National Public Opinion Big Data K Lee, Y Chang JOIV: International Journal on Informatics Visualization 8 (3-2), 1662-1670, 2024 | | 2024 |
| Exploratory Data Analysis for Exploring a New Expressway using Mobility Big Data B LEE, Y CHANG, Y LEE, S JEONG Journal of the Eastern Asia Society for Transportation Studies 15, 2510-2520, 2024 | | 2024 |
| A Study on Regional Forecasting Framework Using Machine Learning According to the Changes in Commercial Property Behaviors with ICT Growth J Choi, C Yohan, I TaLy The Korea Spatial Planning Review 114, 111-135, 2022 | | 2022 |
| Pure-inTention: A Purpose-driven Trip Demand Estimation Model Development with Big Data and Machine Learning Y Chang, Y Lee, S hyeon Park 한국 ITS 학회 학술대회, 1135-1138, 2022 | | 2022 |
Praveen EdaraUniversity of MissouriVerified email at missouri.edu
