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A Novel Wireless Mobility Monitoring and Tracking System: Applications for Smart Traffic

A Novel Wireless Mobility Monitoring and Tracking System: Applications for Smart Traffic

Antonio J. Fernández-Ares, Antonio Miguel Mora-Garcia, María I. García-Arenas, Pablo García-Sánchez, Gustavo Romero, Suhail M. Odeh, Pedro A. Castillo
Copyright: © 2016 |Volume: 4 |Issue: 2 |Pages: 17
ISSN: 2166-7292|EISSN: 2166-7306|EISBN13: 9781466693739|DOI: 10.4018/IJCSSA.2016070104
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MLA

Fernández-Ares, Antonio J., et al. "A Novel Wireless Mobility Monitoring and Tracking System: Applications for Smart Traffic." IJCSSA vol.4, no.2 2016: pp.55-71. http://doi.org/10.4018/IJCSSA.2016070104

APA

Fernández-Ares, A. J., Mora-Garcia, A. M., García-Arenas, M. I., García-Sánchez, P., Romero, G., Odeh, S. M., & Castillo, P. A. (2016). A Novel Wireless Mobility Monitoring and Tracking System: Applications for Smart Traffic. International Journal of Conceptual Structures and Smart Applications (IJCSSA), 4(2), 55-71. http://doi.org/10.4018/IJCSSA.2016070104

Chicago

Fernández-Ares, Antonio J., et al. "A Novel Wireless Mobility Monitoring and Tracking System: Applications for Smart Traffic," International Journal of Conceptual Structures and Smart Applications (IJCSSA) 4, no.2: 55-71. http://doi.org/10.4018/IJCSSA.2016070104

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Abstract

This paper presents a mobility monitoring system, based on the detection of Bluetooth and WiFi signals emitted by personal portable devices. The work also describes its possibilities of tracking in two real scenarios, one inside the Spanish city of Granada, and another one in a highway between Granada and Málaga, both with several detection nodes. They have been deployed trying to solve one of the most difficult issues in the city, namely the automatic and accurate hourly monitoring of traffic, in order to synchronise the traffic lights, for instance. Moreover, their deployment in a highway might be very useful for other traffic issues, such as computing the average speed in a section of the road. Thus, this system could be used as a tool for smart city and smart traffic. In the experiments, the datasets gathered by the system nodes are analysed, yielding useful information for the automatic detection of rush hours, the identification of traffic flows and computing speed rates.

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