@article{ref1,
title="A study on spatial pattern of impact area of intersection using digital tachograph data and traffic assignment model",
journal="Journal of Korean Society of Transportation",
year="2018",
author="Park, Seungjun and Hong, Kiman and Kim, Taegyun and Seo, Hyeon and Hong, Young Suk",
volume="36",
number="2",
pages="155-168",
abstract="n this study, we studied the directional pattern of entering the intersection from the intersection upstream link prior to predicting short future (such as 5 or 10 minutes) intersection direction traffic volume on the interrupted flow, and examined the possibility of traffic volume prediction using traffic assignment model. The analysis method of this study is to investigate the similarity of patterns by performing cluster analysis with the ratio of traffic volume by intersection direction divided by 2 hours using taxi DTG (Digital Tachograph) data (1 week). Also, for linking with the result of the traffic assignment model, this study compares the impact area of 5 minutes or 10 minutes from the center of the intersection with the analysis result of taxi DTG data. To do this, we have developed an algorithm to set the impact area of intersection, using the taxi DTG data and traffic assignment model. As a result of the analysis, the intersection entry pattern of the taxi is grouped into 12, and the Cubic Clustering Criterion indicating the confidence level of clustering is 6.92. As a result of correlation analysis with the impact area of the traffic assignment model, the correlation coefficient for the impact area of 5 minutes was analyzed as 0.86, and significant results were obtained. However, it was analyzed that the correlation coefficient is slightly lowered to 0.69 in the impact area of 10 minutes from the center of the intersection, but this was due to insufficient accuracy of O/D (Origin/Destination) travel and network data. In future, if accuracy of traffic network and accuracy of O/D traffic by time are improved, it is expected that it will be able to utilize traffic volume data calculated from traffic assignment model when controlling traffic signals at intersections.   Keywords digital tachograph; impact area; intersection; intersection traffic volumes; traffic assignment; traffic network; traffic pattern ; 운행기록계; 영향권; 교차로; 교차로 교통량; 통행배정; 교통 네트워크; 통행패턴<p /> <p>Language: ko</p>",
language="ko",
issn="1229-1366",
doi="10.7470/jkst.2018.36.2.155",
url="http://dx.doi.org/10.7470/jkst.2018.36.2.155"
}