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http://dx.doi.org/10.6109/jkiice.2022.26.6.827

A Study on Application of Autonomous Traffic Information Based on Artificial Intelligence  

Oh, Am-Suk (Department of Digital Media Engineering, Tongmyong University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.26, no.6, 2022 , pp. 827-833 More about this Journal
Abstract
This study aims to prevent secondary traffic accidents with high severity by overcoming the limitations of existing traffic information collection systems through analysis of traffic information collection detectors and various algorithms used to detect unexpected situations. In other words, this study is meaningful present that analyzing the 'unexpected situation that causes secondary traffic accidents' and 'Existing traffic information collection system' accordingly presenting a solution that can preemptively prevent secondary traffic accidents, intelligent traffic information collection system that enables accurate information collection on all sections of the road. As a result of the experiment, the reliability of data transmission reached 97% based on 95%, the data transmission speed averaged 209ms based on 1000ms, and the network failover time achieved targets of 50sec based on 120sec.
Keywords
Probe; Unexpected situation detection algorithm; Traffic information collection system; Second traffic accident; Prevention;
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