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http://dx.doi.org/10.12815/kits.2017.16.5.134

Methodology for Estimation of Link Travel Time using Density-based Disaggregated Approach  

Chang, Hyunho (Dept. of Environmental Planning, Graduate School of Environmental Studies, Seoul National University)
Lee, Soong-bong (Dept. of Environmental Planning, Graduate School of Environmental Studies, Seoul National University)
Han, Donghee (Expressway and Transportation Research Institute, Korea Expressway Corporation)
Lee, Young-Ihn (Dept. of Environmental Planning, Graduate School of Environmental Studies, Seoul National University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.5, 2017 , pp. 134-143 More about this Journal
Abstract
In the case of highway, there may be a large number of travel time groups when there are a bus exclusive lane, a rest area, a sleeping shelter, etc. in the corresponding section. In most of the conventional travel time estimation studies, one representative travel time (assuming normal distribution) group is assumed in the low sample collection state, and if it is out of the specified range, it is determined as outliers and then the travel time is estimated. However, if there is a bus exclusive lane, a rest area, or a sleeping shelter in the relevant section, such as the highway, the distribution of travel time will be in the form of a bi-modal or a multi-modal, rather than a regular distribution. Therefore, applying the existing estimation methodology may result in distorted results. To solve this problem, first, it should be reliable even in the case of insufficient number of samples. Second, we propose a methodology to select the representative time group among a number of time groups and to estimate the representative time using individual time data of the selected time group.
Keywords
Individual Travel Data; Link Travel Time Estimation; Exploring Representative Group and Medianoid; Density-based Disaggregated Approach;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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