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http://dx.doi.org/10.12815/kits.2017.16.5.38

A Network Sensor Location Model Considering Discrete Characteristics of Data Collection  

Yang, Jaehwan (Dept. of Civil and Environmental Eng., Seoul National University)
Kho, Seung-Young (Dept. of Civil and Environmental Eng., Institute of Construction and Environmental Eng., Seoul National University)
Kim, Dong-Kyu (Dept. of Civil and Environmental Eng., Seoul National University)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.16, no.5, 2017 , pp. 38-48 More about this Journal
Abstract
Link attributes, such as speed, occupancy, and flow, are essential factors for transportation planning and operation. It is, therefore, one of the most important decision-making problems in intelligent transport system (ITS) to determine the optimal location of a sensor for collecting the information on link attributes. This paper aims to develop a model to determine the optimal location of a sensor to minimize the variability of traffic information on whole networks. To achieve this, a network sensor location model (NSLM) is developed to reflect discrete characteristics of data collection. The variability indices of traffic information are calculated based on the summation of diagonal elements of the variance-covariance matrix. To assess the applicability of the developed model, speed data collected from the dedicated short range communication (DSRC) systems were used in Daegu metropolitan area. The developed model in this study contributes to the enhancement of investment efficiency and the improvement of information accuracy in intelligent transport system (ITS).
Keywords
Intelligent Transport System (ITS); Network Sensor Location Model (NSLM); Variability of traffic information; Discrete Characteristics of Data Collection; Dedicated Short Range Communication (DSRC);
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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