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국토연구원의 내 부서 및 해당 부서별 업무를 안내해드립니다.

사진
장요한 / 팀장
국토지식센터
국토빅데이터팀
연락처
전화 : 044-960-0406 / 팩스 : 044-211-4774
메일
ycanns@krihs.re.kr
연구분야
Big Data, Data Analytics, Machine Learning, Naturalistic Driving Study
SNS/홈페이지

학력

• 2018 University of Missouri – Columbia, Ph.D. (토목공학 박사 - 교통공학전공)

• 2010 전남대학교 건설·환경공학 석사 (교통공학 전공)

• 2008 전남대학교 교통공학 학사

경력

•2019-현재 책임연구원, 국토연구원

•2018-2019 교통수요 분석 및 모델링, Washington D.C. Office, Connetics Transportation Group, USA

•2013-2018 연구조교, Department of Civil Engineering, University of Missouri – Columbia, USA

•2012-2013 연구조교 및 DynusT 개발, Department of Civil Engineering, University of Arizona, USA

연구보고서

• 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

논문 및 저서

• 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