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http://dx.doi.org/10.12815/kits.2013.12.1.136

Estimation of Expressway O/D Matrices from TCS data by Using Video Survey Data for Vehicle Classification: Focused on Truck  

Shin, Seungjin (서울시립대학교 교통공학과)
Park, Dongjoo (서울시립대학교 교통공학과)
Choi, Yoonhyeok (한국도로공사 도로교통연구원)
Jeong, Soyeong (한국도로공사 도로교통연구원)
Heo, Eunjin (한국도로공사 도로교통연구원)
Ha, Dongik (서울대학교 건설환경종합연구소)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.12, no.1, 2013 , pp. 136-146 More about this Journal
Abstract
Truck demand analysis based on TCS data has limitation in that TCS data can not provide truck O/D data for each type of truck vehicle. This study conducted video survey for classifying truck vehicle types. By using TCS data and vehicle ratio by region/cities type, truck O/D data on expressway were estimated. It was found that average travel distances of small truck, medium truck and large truck were 52km/veh, 56km/veh and 97km/veh, respectively by analysing truck O/D data estimated in this study. The reliability analysis showed that check points where error rate is lower than 30% comprise of 87.3%. It is considered that estimated O/D data by truck vehicle types would be useful for the analysis of truck demand of expressway.
Keywords
Expressway; Truck Vehicle Classification; TCS; Truck O/D; Reliability of Travel Demand;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
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