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http://dx.doi.org/10.7470/jkst.2018.36.3.203

A Methodology for Estimating Large Scale Dynamic O/D of Commuter Working Trip  

HAN, He (Department of Transportation Engineering, Myongji University)
HONG, Kiman (Department of Transportation Engineering, Myongji University)
KIM, Taegyun (Department of Transportation Engineering, Myongji University)
WHANG, Junmun (Office of Transportation Policy Research, Gyeonggi Research Institute)
HONG, Young Suk (Industrial Technology, Myongji University)
CHO, Joong Rae (Department of Transportation Engineering, Myongji University)
Publication Information
Journal of Korean Society of Transportation / v.36, no.3, 2018 , pp. 203-215 More about this Journal
Abstract
This study suggests a method to construct large scale dynamic O/D reflecting the characteristic that the passengers' travel patterns change according to the land use patterns of the destination. There are limitations in the existing research about dynamic O/D estimation method, such as the difficulty of collecting data, which can be applied only to a small area, or limiting to a specific transportation network such as highway networks or public transportation networks. In this paper, we propose a method to estimate dynamic O/D without limitation of analysis area based on transportation resources that can be easily collected and used according to the big data era. Clustering analysis was used to calculate the departure time trip distribution ratio based on arrival time and departure time trip distribution function was estimated by each cluster. As a result of the comparison test with the survey data, the estimated distribution function was statistically significant.
Keywords
commuter trip; departure time distribution function; dynamic O/D; land use patterns; working trip;
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