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Traffic State Estimation Integrating Bluetooth Adapter and Passive Infrared Sensor Open Access


Other title
traffic state estimation
Bluetooth adapter
passive infrared sensor
segment speed estimation
Type of item
Degree grantor
University of Alberta
Author or creator
Ge, Yongfeng
Supervisor and department
Qiu, Zhijun (Civil and Environmental Engineering)
Examining committee member and department
Kim, Amy (Civil and Environmental Engineering)
Jiang, Hai (Electrical and Computer Engineering)
Department of Civil and Environmental Engineering
Transportation Engineering
Date accepted
Graduation date
Master of Science
Degree level
Active traffic control and management requires traffic state estimation with high accuracy. Although an inductive loop detector can achieve high accuracy in terms of volume, speed and occupancy estimation, it cannot provide accurate segment-based traffic parameters, such as segment speed and travel time. Additionally, its intrusive nature makes it not cost-effective for large scale deployment. This thesis first proposes a traffic detection method using passive infrared (PIR) sensors that generate point-based volume and speed data. Since Bluetooth is a promising technology, a Bluetooth-based segment speed estimation algorithm is also introduced. Finally, this research proposes a method to estimate arterial segment speed using both PIR sensors and Bluetooth adapters through the data fusion technique. All proposed algorithms have been validated and implemented in the field on urban arterials in Edmonton, Alberta, Canada. The final results show that traffic data fusion can greatly improve traffic state estimation accuracy.
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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