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A Distributed Environment for Traffic Navigation Systems

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Complex, Intelligent, and Software Intensive Systems (CISIS 2019)

Abstract

Effective navigation and distribution of traffic flow in large cities has become a hot topic in recent years. The authors have developed an advanced server side routing system which, together with client side navigation systems, is able not only to navigate cars according to their routing requests, but also to distribute traffic flow within a city. The main goal of the paper is to propose a distributed environment used for an advanced server side navigation system with a focus on effective usage of computational resources for different tasks that need to be solved within the system. A combination of cloud and high performance computing resources in one environment is proposed. The authors also developed a simulator for testing these distributed computational resources. The system and the simulator were tested on the infrastructure at IT4Innovations National Supercomputing Center in the Czech Republic.

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Notes

  1. 1.

    http://antarex-project.eu/dissemination#tools.

  2. 2.

    https://developers.google.com/protocol-buffers.

  3. 3.

    http://zeromq.org.

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Acknowledgements

This work was supported by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPS II) project ‘IT4Innovations excellence in science - LQ1602’, by the IT4Innovations infrastructure which is supported from the Large Infrastructures for Research, Experimental Development and Innovations project ‘IT4Innovations National Supercomputing Center – LM2015070’, and partially by the SGC grant No. SP2019/108 ‘Extension of HPC platforms for executing scientific pipelines’, VŠB - Technical University of Ostrava, Czech Republic.

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Correspondence to Jan Martinovič .

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Martinovič, J. et al. (2020). A Distributed Environment for Traffic Navigation Systems. In: Barolli, L., Hussain, F., Ikeda, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2019. Advances in Intelligent Systems and Computing, vol 993. Springer, Cham. https://doi.org/10.1007/978-3-030-22354-0_27

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