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http://dx.doi.org/10.5392/JKCA.2021.21.01.277

Traffic Correction System Using Vehicle Axles Counts of Piezo Sensors  

Jung, Seung-Weon (한국건설기술연구원)
Oh, Ju-Sam (한국건설기술연구원)
Publication Information
The Journal of the Korea Contents Association / v.21, no.1, 2021 , pp. 277-283 More about this Journal
Abstract
Traffic data by vehicle classification are important data used as basic data in various fields such as road and traffic design. Traffic data is collected through permanent and temporary surveys and is provided as an annual average daily traffic (AATD) in the statistical yearbook of road traffic. permanent surveys are collected through traffic collection equipment (AVC), and the AVC consists of a loop sensor that detects traffic volume and a piezo sensor that detects the number of axes. Due to the nature of the buried type of traffic collection equipment, missing data is generated due to failure of detection equipment. In the existing method, it is corrected through historical data and the trend of traffic around the point. However, this method has a disadvantage in that it does not reflect temporal and spatial characteristics and that the existing data used for correction may also be a correction value. In this study, we proposed a method to correct the missing traffic volume by calculating the axis correction coefficient through the accumulated number of axes acquired by using a piezo sensor that can detect the axis of the vehicle. This has the advantage of being able to reflect temporal and spatial characteristics, which are the limitations of the existing methods, and as a result of comparative evaluation, the error rate was derived lower than that of the existing methods. The traffic volume correction system using axis count is judged as a correction method applicable to the field system with a simple algorithm.
Keywords
Transportation; Traffic Volume Data; Missing Data; AVC; Piezo Sensor;
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Times Cited By KSCI : 1  (Citation Analysis)
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