Cloud Computing for Intelligent Transportation Systemn
Prashant Trivedi1, Kavita Deshmukh2, Manish Shrivastava3
1Mr. Prashant Trivedi, Research Scholar IT, LNCT College, Bhopal(M.P.), India.
2Ms Kavita Deshmukh, Assistant Professor IT Depratment, LNCT College, Bhopal(M.P.), India,
3Dr. Manish Shrivastava, HOD, IT Department, LNCT College, Bhopal(M.P.), India.
Manuscript received on April 04, 2013. | Revised Manuscript received on April 28, 2013. | Manuscript published on May 05, 2013. | PP: 568-572 | Volume-3, Issue-2, May 2013. | Retrieval Number: B1474053213/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Intelligent transportation clouds could provide Services such as autonomy, mobility, decision support and the standard development Environment for traffic management strategies, and so on. With mobile agent technology, an urban-traffic management system based on Agent-Based Distributed and Adaptive Platforms for Transportation Systems (Adapts) is both feasible and effective. However, the large-scale use of mobile agents will lead to the emergence of a complex, powerful organization layer that requires enormous computing and power resources. To deal with this problem, we propose a prototype urban-traffic management system using multi agent based intelligent traffic clouds. Cloud computing can help us to handle the large amount of storage resources and mass transportation of data effectively and efficiently.
Keywords: Adapts, Intelligent clouds, Traffic management, mobile agents.