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http://dx.doi.org/10.12815/kits.2020.19.1.58

Detour Behavior on the Expressway using Route Travel Data  

Lee, Sujin (The Cho Chun Shik Graduate School of Green Transportation, KAIST)
Son, Sanghoon (Jeju Research Institute)
Kim, Hyungjoo (Advanced Institutes of Convergence Technology)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.19, no.1, 2020 , pp. 58-70 More about this Journal
Abstract
Detour behavior on the expressway means that the driver uses the local road by passing the part of the expressway which is stagnant at the time of the traffic demand such as holidays. Since the detour rate was estimated through the survey at toll gate in the past, there was a difficulty in estimating the actual detour rate due to the small sample of the survey. In this study, we use DSRC-based route travel data to conduct empirical studies on detour patterns such as the estimation of actual detour rate, the improvement of travel time using detour road, and the correlation between traffic conditions on the expressway and detour rate. On the day of Chuseok and the day before Chuseok, the analysis of Giheung-DongtanIC→OsanIC and Seopyeongtaek IC→Walgott JC showed that the use of detour roads increased gradually during the congestion of the main line and travel time reduced when using detour roads, However, when the traffic congestion of the main line is not severe, the travel time increases when using the detour roads. The correlation between the traffic condition of the expressway and the actual detour rate has a negative correlation, which is consistent with the congestion pattern of the main line. The results of this study can be used to overcome limitations of detour pattern research based on surveys in the past and to establish a detour strategy for expressway sections where traffic demand is concentrated.
Keywords
Route Travel Data; Detour Behavior; Detour Rate; Travel Time Reduction; Traffic Congestion;
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