Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 서원호 | - |
dc.date.accessioned | 2018-03-14T04:05:42Z | - |
dc.date.available | 2018-03-14T04:05:43Z | - |
dc.date.issued | 2015-12 | - |
dc.identifier.citation | SCIENTIA IRANICA, v. 22, No. 6, Page. 2092-2102 | en_US |
dc.identifier.issn | 1026-3098 | - |
dc.identifier.uri | https://search.proquest.com/docview/1773273907?pq-origsite=gscholar | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11754/46542 | - |
dc.description.abstract | Traffic counts are one of the fundamental data sources for a variety of transportation applications ranging from assessment of current transportation system conditions to future transportation planning and forecasting. A variety of traffic data collection methods have been used to provide continuous traffic count coverage at selected locations to estimate annual average daily traffic. This paper evaluates the performance of a Video Detection System. A video detection system was investigated under various conditions, including mounting style, height, and roadway off sets. This paper conducts a lane-by-lane analysis and the results indicate that video detection system data presents reasonably accurate data, although these data exhibit more variability compared to Automatic Traffic Recorder data. The paper provides an analysis of the strengths and weaknesses of the video detection system technology based data compared to the Automatic Traffic Recorder data and helps in the decision process of whether to use the data for specific transportation planning and strategic decision applications. (C) 2015 Sharif University of Technology. All rights reserved. | en_US |
dc.description.sponsorship | This work was sponsored by the Georgia Department of Transportation research project 11-13 Feasibility Study for Video Detection System Data to Supplement Automatic Traffic Recorder. Dr. Suh's work was sponsored by a grant NRF-2014R1A1A2054793 and Transportation & Logistics Research Program 15CTAP-C097344 of Korean government. The findings and conclusions presented herein represent the opinion of the authors and not necessarily that of the Georgia Department of Transportation. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | ELSEVIER SCIENCE BV | en_US |
dc.subject | Traffic data collection | en_US |
dc.subject | Video detection system | en_US |
dc.subject | Traffic count | en_US |
dc.title | Evaluation of video detection system as a traffic data collection method | en_US |
dc.type | Article | en_US |
dc.relation.no | 6 | - |
dc.relation.volume | 22 | - |
dc.relation.page | 2092-2102 | - |
dc.relation.journal | SCIENTIA IRANICA | - |
dc.contributor.googleauthor | Suh, W | - |
dc.contributor.googleauthor | Anderson, J | - |
dc.contributor.googleauthor | Guin, A | - |
dc.contributor.googleauthor | Hunter, M | - |
dc.relation.code | 2015009257 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF TRANSPORTATION AND LOGISTICS ENGINEERING | - |
dc.identifier.pid | wonhosuh | - |
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