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http://dx.doi.org/10.12815/kits.2014.13.6.025

Treatment Strategy and Reliability Analysis of DSRC-Based Traffic Data under Interrupted Traffic States  

Ren, Yu (Department of Urban Planning, Dong-A University)
Kim, Hoe Kyoung (Department of Urban Planning, Dong-A University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.13, no.6, 2014 , pp. 25-33 More about this Journal
Abstract
This study investigates the reliability of DSRC-based traffic information system on the typical urban arterial with the minimum sample size method. VISSIM has been employed to calculate the required sample size. After comparing the number of hi-pass vehicles recorded from DSRC and the required sample size, this study found that the interrupted traffic state tends to generate more outliers than the uninterrupted one, the lack of the number of vehicles completely passing links with multiple driveways makes it difficult to estimate the reliable traffic information, the traffic information during peak hour is relatively more reliable than that during off-peak hour, and the reliability of DSRC-based traffic information system depends on the significance level in calculating the sample size. The driveway density and traffic signal operation due to the individual link length significantly affects the required sample size, resulting in determining the reliability of the DSRC-based traffic information system.
Keywords
DSRC; hi-pass vehicle; link traffic information; sample size; interrupted traffic state;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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