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Ant Colony Optimization Algorithm for Traffic Flow Estimation

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Published:23 June 2017Publication History

ABSTRACT

The paper presents a study of the effectiveness of the multithreading implementation of an ant colony optimization algorithm for solving the traffic flow estimation problem. A model of the problem, using graph of the city map, and mathematical formulation of the algorithm, using simulated ants, are described. Experimental results from comparison of the sequential and the multithreading implementation of the algorithm with varying number of graph nodes and ants are summarized.

References

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  • Published in

    cover image ACM Other conferences
    CompSysTech '17: Proceedings of the 18th International Conference on Computer Systems and Technologies
    June 2017
    358 pages
    ISBN:9781450352345
    DOI:10.1145/3134302

    Copyright © 2017 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 23 June 2017

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    • research-article
    • Research
    • Refereed limited

    Acceptance Rates

    CompSysTech '17 Paper Acceptance Rate42of107submissions,39%Overall Acceptance Rate241of492submissions,49%

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