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http://dx.doi.org/10.12815/kits.2021.20.6.66

Microscopic Traffic Analysis of Freeway Based on Vehicle Trajectory Data Using Drone Images  

Ko, Eunjeong (The Cho Chun Shik Graduate School of Green Transportation, KAIST)
Kim, Soohee (Transportation Research Division, Korea Expressway Corporation Research Institute)
Kim, Hyungjoo (Advanced Institute of Convergence Technology)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.20, no.6, 2021 , pp. 66-83 More about this Journal
Abstract
Vehicles experience changes in driving behavior due to the various facilities on the freeway. These sections may cause repetitive traffic congestion when the traffic volume increases, so safety issues may be raised. Therefore, the purpose of this study is to perform microscopic traffic analysis on these sections using drone images and to identify the causes of traffic problems. In the case of drone image, since trajectory data of individual vehicles can be obtained, empirical analysis of driving behavior is possible. The analysis section of this study was selected as the weaving section of Pangyo IC and the sag section of Seohae Bridge. First, the trajectory data was extracted through the drone image. And the microscopic traffic analysis performed on the speed, density, acceleration, and lane change through cell-unit analysis using Generalized definition method. This analysis results can be used as a basic study to identify the cause of the problem section in the freeway. Through this, we aim to improve the efficiency and convenience of traffic analysis.
Keywords
Drone; Vehicle trajectory; Driving behavior; Microscopic traffic analysis; Freeway;
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