Advanced BRT Volume II: Innovative Technologies for Dedicated Roadways
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Advanced BRT Volume II: Innovative Technologies for Dedicated Roadways
Published Date
2008-06
Publisher
University of Minnesota Center for Transportation Studies
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Report
Abstract
Presented herein is a novel approach to vehicle positioning using RFID technology (Vehicle Positioning System, or
VPS). By installing in the road RFID tags encoded with road name or other designation, the specific lane, the
direction of travel, and the longitudinal distance from a known reference, a vehicle outfitted with an RFID tag
reader can determine its position each time it passes over and reads a tag, thus, providing precisely the information
needed for many ITS applications – the longitudinal position of a vehicle in a particular lane on a particular road of
the transportation network.
Knowledge of lane of travel and distance from a known reference provided by VPS enables many transit
applications, including headway control of bus platoons, merge/lane change assistance, rear-end collision
avoidance, and bay mark-up applications. For lane assist systems, VPS and a lateral positioning system can
augment DGSP in urban areas, providing seamless operation where DGPS accuracy is insufficient for lane keeping.
This research focused on designing and building a prototype VPS using existing third party RFID hardware. The
hardware was evaluated and characterized to determine if it could be used to create a viable, robust VPS. After the
development and characterization of the positioning system, an implementation of a rear-end collision avoidance
system was built to demonstrate the use of VPS. Finally, a more sophisticated rear-end collision avoidance system
was designed and simulated, after which its implications to the accuracy specifications for VPS were analyzed.
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CTS 08-07
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Cheng, Pi-Ming; Donath, Max; Gorjestani, Alec; Menon, Arvind; Newstrom, Bryan; Shankwitz, Craig. (2008). Advanced BRT Volume II: Innovative Technologies for Dedicated Roadways. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/96275.
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