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International Workshop on Mobile Agents

MA 1998: Mobile Agents pp 99–111Cite as

An agent based application for personalized vehicular traffic management

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1477))

Abstract

Traffic telematics applications, like road traffic management, operate in an extremely dynamic mobile computing environment. The Mobile Agent paradigm here becomes a promising alternative to the conventional client/server approach. In this article we evaluate the application of Mobile Agent Technology in the area of vehicular traffic management and introduce a general application partitioning model which facilitates the combination of asynchronous and autonomous operation, data filtering and scheduling in a user specific manner. A sample application and performance results are presented.

Work was done while Wito was research assistant at the Institute for Operating Systems, Databases, and Computer Networks of Dresden University of Technology.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Institute for Operating Systems, Databases, and Computer Networks, Dresden University of Technology, Mommsenstr.13, D-01062, Dresden, Germany

    Alexander Schill, Thomas Springer & Thomas Ziegert

  2. Research and Technology 3, Daimler-Benz AG, Wilhelm-Runge-Str. 11, D-89081, Ulm, Germany

    Albert Held

Authors
  1. Alexander Schill
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  2. Albert Held
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  3. Wito Böhmak
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  4. Thomas Springer
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  5. Thomas Ziegert
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Editor information

Kurt Rothermel Fritz Hohl

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© 1998 Springer-Verlag Berlin Heidelberg

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Schill, A., Held, A., Böhmak, W., Springer, T., Ziegert, T. (1998). An agent based application for personalized vehicular traffic management. In: Rothermel, K., Hohl, F. (eds) Mobile Agents. MA 1998. Lecture Notes in Computer Science, vol 1477. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0057651

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  • DOI: https://doi.org/10.1007/BFb0057651

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-64959-5

  • Online ISBN: 978-3-540-49817-9

  • eBook Packages: Springer Book Archive

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