Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4968400 | Transportation Research Part C: Emerging Technologies | 2017 | 12 Pages |
Abstract
Mobile communication instruments have made detecting traffic incidents possible by using floating traffic data. This paper studies the properties of traffic flow dynamics during incidents and proposes incident detection methods using floating data collected by probe vehicles equipped with on-board global positioning system (GPS) equipment. The proposed algorithms predict the time and location of traffic congestion caused by an incident. The detection rate and false rate of the models are examined using a traffic flow simulator, and the performance measures of the proposed methods are compared with those of previous methods.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Yasuo Asakura, Takahiko Kusakabe, Long Xuan Nguyen, Takamasa Ushiki,