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Title: Accuracy of Traffic Speed and Volume Data Detected Using Radar Technology
Accession Number: 01590370
Record Type: Component
Abstract: Selecting an appropriate device for collecting accurate traffic data without creating any negative influence on traffic flow can be challenging for a traffic engineer. Understanding the tradeoffs of different data collection methods is a priority in order to conduct a successful data collection effort. This study explored the differences between three non-intrusive ITS sensors using radar technology: iCone, Radar Recorder, and Wavetronix SmartSensor HD (WSSHD) to collect a specific traffic parameter in comparison to the pneumatic road tubes (PRTs). This study compared 408 hours of sensor data along on a rural two-lane road with a posted speed limit of 55 mph and quantified the differences in accuracy of the devices used for collecting speed and volume traffic data. The results showed that the error in detected speeds and volumes for iCone and Radar Recorder in comparison with PRTs were 1.5 percent and 1.4 percent, respectively, and 2.1 percent for the WSSHD. The error in detected volumes for the iCone and Radar Recorder in comparison with the PRTs were 8.6 percent and 7.8 percent, respectively, while for the WSSHD there was no difference from the PRTs. Based on the results, to collect traffic volume data for each traffic lane separately, the WSSHD is recommended. When collecting individual vehicle data is required, the Radar Recorder is recommended. As long as individual vehicle data are not required, the iCone could be a convenient option especially for short-duration data collection and more specifically at work zones where detector placement may be a challenge.
Supplemental Notes: This paper was sponsored by TRB committee ABJ35 Standing Committee on Highway Traffic Monitoring.
Monograph Title: Monograph Accession #: 01584066
Report/Paper Numbers: 16-5652
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Mohammed, Hemin JSchrock, Steven DFitzsimmons, Eric JPagination: 12p
Publication Date: 2016
Conference:
Transportation Research Board 95th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Data and Information Technology; Highways; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2016 Paper #16-5652
Files: PRP, TRIS, TRB, ATRI
Created Date: Jan 12 2016 6:28PM
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