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| Title: | Visual traffic movement counts at intersection for origin-destination (O-D) trip table estimation | |
| Author (s): | Lee, S. Baik, Hojong Park, J. | |
| Department/Lab Affiliations: | Civil, Architectural & Environmental Engineering | |
| Keywords: | Origin-Destination traffic transportation planning vehicle tracking system | |
| Issue Date: | 2007-10 | |
| Publisher: | Institute of Electrical and Electronics Engineers | |
| Citation: | S. Lee, H. Baik and J. Park, Visual Traffic Movement Counts at Intersection for Origin-Destination (O-D) Trip Table Estimation. The 10th International IEEE Conference on Intelligent Transportation Systems, Seattle, WA. Sep. 30-Oct.3 2007. | |
| Abstract: | A new video-based vehicle tracking system is proposed to provide accurate information on directional traffic counts at intersections. The extracted counts are fed to estimate an origin- destination trip table which is necessary information for traffic impact study and transportation planning. The system utilizes a fisheye lens to expand the area covered by a single camera and uses a particle filtering method to track an individual vehicle. The filter is designed to handle environmental changes and multiple motion dynamics. Experimental results show its strong ability on tracking in various conditions. The paper shows how to use the tracking outputs in obtaining accurate origin-destination (O-D) table. | |
| Type: | Article - Journal text | |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. FULL COPYRIGHT INFORMATION: | |
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| title | Visual traffic movement counts at intersection for origin-destination (O-D) trip table estimation | |
| contributor.author | Lee, S. | |
| contributor.author | Baik, Hojong | |
| contributor.author | Park, J. | |
| contributor.deptlab | Civil, Architectural & Environmental Engineering | |
| subject | Origin-Destination | |
| subject | traffic | |
| subject | transportation planning | |
| subject | vehicle tracking system | |
| date.issued | 2007-10 | |
| publisher | Institute of Electrical and Electronics Engineers | |
| identifier.citation | S. Lee, H. Baik and J. Park, Visual Traffic Movement Counts at Intersection for Origin-Destination (O-D) Trip Table Estimation. The 10th International IEEE Conference on Intelligent Transportation Systems, Seattle, WA. Sep. 30-Oct.3 2007. | |
| identifier.pub.URI | ||
| description.abstract | A new video-based vehicle tracking system is proposed to provide accurate information on directional traffic counts at intersections. The extracted counts are fed to estimate an origin- destination trip table which is necessary information for traffic impact study and transportation planning. The system utilizes a fisheye lens to expand the area covered by a single camera and uses a particle filtering method to track an individual vehicle. The filter is designed to handle environmental changes and multiple motion dynamics. Experimental results show its strong ability on tracking in various conditions. The paper shows how to use the tracking outputs in obtaining accurate origin-destination (O-D) table. | |
| type | Article - Journal | |
| type.DCMIType | text | |
| type.status | Final version | |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. | |
| rights.URI | ||
| date.accessioned | 2008-04-02T21:37:50Z | |
| date.available | 2008-04-02T21:37:49Z | |
| identifier.persist.URI | ||
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