DocumentCode :
3681686
Title :
DriveBlue: Traffic Incident Prediction through Single Site Bluetooth
Author :
Ahmed Salem;Tamer Nadeem;Mecit Cetin;Samy El-Tawab
Author_Institution :
Comput. Sci. Dept., Old Dominion Univ., Norfolk, VA, USA
fYear :
2015
Firstpage :
725
Lastpage :
730
Abstract :
Transportation authorities, and traffic management aim to have a free-flow traffic on highways as well as in cities. This paper proposes DriveBlue, a real time system that uses Bluetooth adapters in a single site to predict traffic incidents in various conditions (e.g. congestion), and inform the responsible authorities. DriveBlue leverages the capabilities of co-located Bluetooth adapters to monitors vehicles on roads, categorize them, analyze their behavior over time, and reports any suspicious change. Moreover, DriveBlue has a simple design that is scalable using the infrastructure currently deployed by transportation authorities. In our experiments, we collected real data from highways to evaluate the feasibility of using single site Bluetooth adapters for transportation applications. DriveBlue spotted almost 10 devices per minute, and showed an accuracy of approximately 80% in detecting vehicle´s motion.
Keywords :
"Bluetooth","Vehicles","Roads","Accuracy","Smart phones"
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems (ITSC), 2015 IEEE 18th International Conference on
ISSN :
2153-0009
Electronic_ISBN :
2153-0017
Type :
conf
DOI :
10.1109/ITSC.2015.123
Filename :
7313215
Link To Document :
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