Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/14591
Title: Automatic Freeway Incident Detection for Free Flow Conditions: A Vehicle Reidentification Based Approach Using Image Data from Sparsely Distributed Video Cameras
Authors: Wang, J 
Sumalee, A 
Issue Date: 2015
Publisher: Hindawi Publishing Corporation
Source: Mathematical problems in engineering, 2015, v. 2015, 102380 How to cite?
Journal: Mathematical problems in engineering 
Abstract: This paper proposes a vehicle reidentification (VRI) based automatic incident algorithm (AID) for freeway system under free flow condition. An enhanced vehicle feature matching technique is adopted in the VRI component of the proposed system. In this study, arrival time interval, which is estimated based on the historical database, is introduced into the VRI component to improve the matching accuracy and reduce the incident detection time. Also, a screening method, which is based on the ratios of the matching probabilities, is introduced to the VRI component to further reduce false alarm rate. The proposed AID algorithm is tested on a 3.6 km segment of a closed freeway system in Bangkok, Thailand. The results show that in terms of incident detection time, the proposed AID algorithm outperforms the traditional vehicle count approach.
URI: http://hdl.handle.net/10397/14591
ISSN: 1024-123X
EISSN: 1563-5147
DOI: 10.1155/2015/102380
Rights: Copyright © 2015 Jiankai Wang and Agachai Sumalee. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The following article: Wang, J., & Sumalee, A. (2015). Automatic freeway incident detection for free flow conditions: a vehicle reidentification based approach using image data from sparsely distributed video cameras. Mathematical Problems in Engineering, 2015, is available at https//doi.org/10.1155/2015/102380
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