IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Computing Traffic Information in the Cloud

Computing Traffic Information in the Cloud
View Sample PDF
Author(s): Po-Ting Wei (National Tsing Hua University, Taiwan), Tai-Chi Wang (National Tsing Hua University, Taiwan), Shih-Yu Chang (National Tsing Hua University, Taiwan)and Yeh-Ching Chung (National Tsing Hua University, Taiwan)
Copyright: 2015
Pages: 18
Source title: Cloud Technology: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-6539-2.ch049

Purchase

View Computing Traffic Information in the Cloud on the publisher's website for pricing and purchasing information.

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.

Related Content

Dina Darwish. © 2024. 43 pages.
Kassim Kalinaki, Musau Abdullatif, Sempala Abdul-Karim Nasser, Ronald Nsubuga, Julius Kugonza. © 2024. 23 pages.
Yogita Yashveer Raghav, Ramesh Kait. © 2024. 17 pages.
Renuka Devi Saravanan, Shyamala Loganathan, Saraswathi Shunmuganathan. © 2024. 21 pages.
Veera Talukdar, Ardhariksa Zukhruf Kurniullah, Palak Keshwani, Huma Khan, Sabyasachi Pramanik, Ankur Gupta, Digvijay Pandey. © 2024. 30 pages.
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, Balakumar Muniandi, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech. © 2024. 9 pages.
Avtar Singh, Shobhana Kashyap. © 2024. 11 pages.
Body Bottom