United States Department of Transportation
i
Effect of Real-time Traffic Data on Truck Diversion Routing on I-75
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2020-10-01
[PDF-10.11 MB]
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Edition:Final report
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Abstract:Successful development of effective real-time traffic management and information systems requires high quality traffic data in real time. The challenge over the years has been the massive expenses in both time and cost related to the collection of such data. This is true for both passenger vehicle and freight traffic where origin-destination (O/D) data collection relied heavily either on manual counts or the traditional four-step planning model where surveys and interviews are required or on expensive ITS technologies that required excessive MOT and traffic stoppages for installation. This research project aims to develop a novel method of automated real-time O–D data collection that is reliable, inexpensive, and portable using a mix of commercial off-the-shelf hardware and custom software. As such, the researchers conducted an automated license plate reading methodology at three locations on the I-75 corridor. Collected data via the system design, hardware, and software were extensively evaluated. Data collected from the two test sites were compared with the loop detector counts under the supervision of FDOT District 5. Finally, an ArcGIS-based real-time truck diversion framework methodology has been developed, and the benefits are presented along with case studies in this report.
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