Organization

  • About KRIHS
  • Organization

The organization of KRIHS is composed of the Board of Directors, Research Advisory Council, President, Vice-President, Architecture & Urban Research Institute, five divisions, and eighteen centers.

사진
Yohan Chang /
Center for Bigdata & Knowledge Management

Contact
Tel : 044-960-0406 / Fax : qz5/Kh3KPb7PdRLKCl4Log==
Email
ycanns@krihs.re.kr
Research Areas
Big Data, Data Analytics, Machine Learning, Naturalistic Driving Study
SNS/Homepage

Education

• 2018 University of Missouri – Columbia, Ph.D. (Civil Engineering)
• 2010 Chonnam National University, M.S. (Civil & Environmental Engineering)
• 2008 Chonnam National University, B.S. (Transportation & Logistics Systems Engineering)

Career

• 2019-Present Associate Research Fellow, KRIHS
• 2018-2019 Transportation Modeler, Modeling & Analytics, Washington D.C. Office, Connetics Transportation Group, USA
• 2013-2018 Graduate Research Assistant, Department of Civil Engineering, University of Missouri – Columbia, USA
• 2012-2013 Graduate Research Assistant, Department of Civil Engineering, University of Arizona, USA

Major Articles / books / Reports

• A Multidisciplinary Approach to Investigate Work Zone Safety using SHRP2 Safety Data, Federal Highway Administration (FHWA), USA, 2019
• Understanding the Impacts of Work Zone Activities on Traffic Flow Characteristics, Smart Work Zone Deployment Initiative, Iowa DOT, USA, 2018
• Data-Driven Traffic Impact Assessment Tool for Work Zones, Smart Work Zone Deployment Initiative, Iowa DOT, USA, 2017
• Hampton Roads Hurricane Evacuation: Evaluation of Incident Effects and Network Treatments, Virginia Center for Transportation Innovation and Research, USA, 2015

• Yohan Chang, Nipjyoti Bharadwaj, Praveen Edara, and Carlos Sun, “Exploring Contributing Factors of Hazardous Events in Construction Zones using Naturalistic Driving Study Data,” IEEE IV Transactions (in press), 2020
• Yohan Chang and Praveen Edara, “Evaluation of Reservation-based Intersection Control Algorithm for Hurricane Evacuation with Autonomous Vehicles,” International Journal of Disaster Risk Reduction, 31, 1152-1158, 2018
• Nipjyoti Bharadwaj, Praveen Edara, Carlos Sun, Henry Brown, and Yohan Chang, "Traffic Flow Modeling of Diverse Work Zone Activities", Transportation Research Record: Journal of the Transportation Research Board, 2018
• Yohan Chang, Praveen Edara, "Predicting Hazardous Events in Work Zones Using Naturalistic Driving Data", 20th IEEE Intelligent Transportation System, Yokohama, Japan, pp. 1-6, IEEE, 2017
• Yi Hu, Praveen Edara, and Yohan Chang, "Road Network State Estimation Using Random Forest Ensemble Learning", 20th IEEE Intelligent Transportation System, Yokohama, Japan, pp. 1-6, IEEE, 2017
• Yohan Chang, Praveen Edara, "AReBIC: Autonomous Reservation-Based Intersection Control for Emergency Evacuation", IEEE Intelligent Vehicle Symposium 2017, CA, USA, pp. 1887-1892. 2017
• Yohan Chang, Kyeongsu Kim, "Dwell Time Estimation for BRT Routes using Real-Time GTFS Data", International Journal of Transportation. Vol. 7., No. 3., pp. 1-14, 2019
• Yohan Chang, Daehyon Kim, "OPEN-DOMEiM: An Open-Data-Driven Hybrid Origin-Destination Trip Matrix Estimation Model Integrating with Machine Learning Techniques", International Journal of Transportation. Vol. 7., No. 3., pp. 35-44, 2019
• Yohan Chang, Nipjyoti Bharadwaj, Praveen Edara, and Carlos Sun, "Analysis and Classification of Crashes and Near-Crashes involving 16-19 year old drivers", International Symposium on Naturalistic Driving Research, Virginia, USA. 2018
• Yohan Chang, and Praveen Edara, "A Hybrid Origin-Destination Trip Matrices Estimation Model Using Machine Learning Techniques", Transportation Research Circular E-C233: Applying Census Data for Transportation, TRB, 2017
• Ashutosh Kumar, Yohan Chang, Kyeongsu Kim, Ayberk Kocatepe, and Sujith Rapolu, "Displaying Key Project Ridership Measures from STOPS through Interactive Reporting", 98th Transportation Research Meeting (TRB), Washington D.C. 2019
• Kyeongsu Kim and Yohan Chang, "GENESIS: Trip Generation Model using ACS, CTPP and NHTS data", 98th Transportation Research Meeting (TRB), Washington D.C. 2019
• Yohan Chang, Kyeongsu Kim and Ashutosh Kumar, "South Florida Park and Ride (PNR) Market Size/ Demand Estimation Using ACS CTPP 2012-2016 and LODES", 99th Transportation Research Meeting (TRB), Washington D.C. 2020
• Yohan Chang, "SynTIS: Synthetic Traveler Information in Smart City", International Symposium on Transportation Data and Modelling (ISTDM). 2020