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Towards a New Evolutionary Algorithm for the Minimum Tollbooth Problem

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Computational Data and Social Networks (CSoNet 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11280))

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Abstract

Minimum tollbooth problem is a well–known hard optimization problem from the area of intelligent transportation systems. It consists in the search for a set of optimum locations of a fixed number of tollbooths in a road network so that the behaviour of road users is affected in a way that mitigates the congestions in the network. In this short paper, we summarize the problem, outline the design of an evolutionary algorithm to solve it, and provide an initial computational evaluation of the feasibility of the proposed approach.

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Acknowledgement

This work was supported by the Czech Science Foundation under the grant no. GJ16-25694Y, by the European Regional Development Fund under the project AI&Reasoning (reg. no. CZ.02.1.01/0.0/0.0/15_003/0000466), and by the project SP2018/126 of the Student Grant System, VŠB-Technical University of Ostrava.

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Authors and Affiliations

  1. Department of Computer Science, VŠB Technical University of Ostrava, Ostrava, Czech Republic

    Pavel Krömer & Jana Nowaková

  2. IT4Innovations, VŠB Technical University of Ostrava, Ostrava, Czech Republic

    Martin Hasal

Authors
  1. Pavel Krömer
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  2. Jana Nowaková
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  3. Martin Hasal
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Corresponding author

Correspondence to Pavel Krömer .

Editor information

Editors and Affiliations

  1. Texas Southern University, Houston, TX, USA

    Xuemin Chen

  2. Ira A. Fulton School of Engineering, Tempe, AZ, USA

    Arunabha Sen

  3. Texas Southern University, Houston, TX, USA

    Wei Wayne Li

  4. University of Florida, Gainesville, AL, USA

    My T. Thai

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Krömer, P., Nowaková, J., Hasal, M. (2018). Towards a New Evolutionary Algorithm for the Minimum Tollbooth Problem. In: Chen, X., Sen, A., Li, W., Thai, M. (eds) Computational Data and Social Networks. CSoNet 2018. Lecture Notes in Computer Science(), vol 11280. Springer, Cham. https://doi.org/10.1007/978-3-030-04648-4_10

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  • DOI: https://doi.org/10.1007/978-3-030-04648-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-04647-7

  • Online ISBN: 978-3-030-04648-4

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