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Computing Traffic Information in the Cloud

Computing Traffic Information in the Cloud

Po-Ting Wei, Tai-Chi Wang, Shih-Yu Chang, Yeh-Ching Chung
Copyright: © 2014 |Volume: 6 |Issue: 1 |Pages: 17
ISSN: 1938-0259|EISSN: 1938-0267|EISBN13: 9781466654433|DOI: 10.4018/ijghpc.2014010102
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MLA

Wei, Po-Ting, et al. "Computing Traffic Information in the Cloud." IJGHPC vol.6, no.1 2014: pp.21-37. http://doi.org/10.4018/ijghpc.2014010102

APA

Wei, P., Wang, T., Chang, S., & Chung, Y. (2014). Computing Traffic Information in the Cloud. International Journal of Grid and High Performance Computing (IJGHPC), 6(1), 21-37. http://doi.org/10.4018/ijghpc.2014010102

Chicago

Wei, Po-Ting, et al. "Computing Traffic Information in the Cloud," International Journal of Grid and High Performance Computing (IJGHPC) 6, no.1: 21-37. http://doi.org/10.4018/ijghpc.2014010102

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Abstract

Vehicular ad hoc networks have been envisioned to be useful in road safety and commercial applications. In addition, in-vehicle capabilities could be used as a service to provide a variety of applications, for example, to provide real-time junction view of road intersections or to address traffic status for advanced traffic light control. In this work, the authors construct a cloud service over vehicular ad hoc networks to provide event data including capturing videos or Global Positioning System (GPS) data. Moreover, the authors integrate the GPS receiver and the navigation software equipped over On Board Unit to create a Geographic Information System digital map and to offer a traffic safety application. The hardware is implemented by Eeepad for integrating camera and GPS. Furthermore, the cyclic recording scheme has been addressed for data transmission and query. With the design, people can get real-time traffic information including traffic videos or geographical data in the cloud.

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