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Assessing vehicle detection utilizing video image processing technology
| dc.creator | Hartmann, Duane E | |
| dc.date.accessioned | 2012-06-07T22:44:53Z | |
| dc.date.available | 2012-06-07T22:44:53Z | |
| dc.date.created | 1996 | |
| dc.date.issued | 1996 | |
| dc.identifier.uri | https://hdl.handle.net/1969.1/ETD-TAMU-1996-THESIS-H37 | |
| dc.description | Due to the character of the original source materials and the nature of batch digitization, quality control issues may be present in this document. Please report any quality issues you encounter to digital@library.tamu.edu, referencing the URI of the item. | en |
| dc.description | Includes bibliographical references. | en |
| dc.description | Issued also on microfiche from Lange Micrographics. | en |
| dc.description.abstract | Urban freeways are the backbone of the highway transportation system and the demand on this system is growing. The increase in demand creates an increase in traffic congestion. Past construction solutions to relieve congestion are less viable today due to rising costs and government regulations. Effectively managing the operations of the existing highway transportation network is an alternative for congestion mitigation. The research documented in this study analyzes a trip-wire video image processing system's ability and limitations in accurately detecting passenger cars with and without passenger cars traveling in the adjacent travel lane. This study also analvzes a video image processing system's ability to determine passenger car speeds. Testing was performed at Texas A&M University's Riverside Campus research facility. Testing analyzed three camera heights, 30 feet, 40 feet and 49 feet-6 inches, in conjunction with three passenger car speeds, 20 mph, 45 mph and 55 mph. The video image processing system used in the study was the Autoscop0m 2004 by Image Sensing Systems, Inc. The camera imaging device was a one-half (1/2) inch interline transfer microlens charged coupled device (CCD). The camera lens was a six (6) mm, fl.2 auto ifis lens. An analysis of variance (ANOVA) test indicated both camera height and travel lane location affected the system's ability to accurately detect passenger cars. Generally, higher camera heights and travel lanes farther from the camera produced accurate passenger car detection farther upstream from the camera. Also, it was determined that passenger cars traveling in adjacent travel lanes did not significantly influence the video image processing system's ability to accurately detect passenger cars. The paired t-test indicated that passenger car speeds determined by the video image processing system were significantly different when compared to passenger car speeds obtained by a radar speed gun. The results of this thesis research study provide some guidance on the use and placement of a video image processing system in a freeway application. This study also provides some recommendations regarding future video image processing system research and development. | en |
| dc.format.medium | electronic | en |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | en_US | |
| dc.publisher | Texas A&M University | |
| dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries in 2008. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
| dc.subject | civil engineering. | en |
| dc.subject | Major civil engineering. | en |
| dc.title | Assessing vehicle detection utilizing video image processing technology | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | civil engineering | en |
| thesis.degree.name | M.S. | en |
| thesis.degree.level | Masters | en |
| dc.type.genre | thesis | en |
| dc.type.material | text | en |
| dc.format.digitalOrigin | reformatted digital | en |
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