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  • 标题:Cloud Computing for Intelligent Transportation System
  • 本地全文:下载
  • 作者:Prashant Trivedi ; Kavita Deshmukh ; Manish Shrivastava
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2012
  • 卷号:2
  • 期号:3
  • 页码:568-572
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要: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.
  • 关键词:Adapts; Intelligent clouds; Traffic management;mobile agents.
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