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http://dx.doi.org/10.12652/Ksce.2022.42.1.0067

Fusion Strategy on Heterogeneous Information Sources for Improving the Accuracy of Real-Time Traffic Information  

Kim, Jong-Jin (Yeungnam University)
Chung, Younshik (Yeungnam University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.42, no.1, 2022 , pp. 67-74 More about this Journal
Abstract
In recent, the number of real-time traffic information sources and providers has increased as increasing smartphone users and intelligent transportation system facilities installed at roadways including vehicle detection system (VDS), dedicated short-ranged communications (DSRC), and global positioning system (GPS) probe vehicle. The accuracy of such traffic information would vary with these heterogeneous information sources or spatiotemporal traffic conditions. Therefore, the purpose of this study is to propose an empirical strategy of heterogeneous information fusion to improve the accuracy of real-time traffic information. To carry out this purpose, travel speed data collection based on the floating car technique was conducted on 227 freeway links (or 892.2 km long) and 2,074 national highway links (or 937.0 km long). The average travel speed for 5 probe vehicles on a specific time period and a link was used as a ground truth measure to evaluate the accuracy of real-time heterogeneous traffic information for that time period and that link. From the statistical tests, it was found that the proposed fusion strategy improves the accuracy of real-time traffic information.
Keywords
Heterogeneous traffic information; Travel speed; Accuracy; Fusion strategy; Empirical method;
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Times Cited By KSCI : 1  (Citation Analysis)
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