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The Power of Good Old-Fashioned AI for Urban Traffic Control

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Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1980))

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Abstract

The current worldwide increasing trend in urbanisation is aggravating urban traffic congestion’s social, economic, and health burdens. The introduction of new means of transport, such as Connected Autonomous Vehicles, and the rise of Artificial Intelligence, is enabling a paradigm shift in urban traffic management and control from existing reactive to proactive traffic control: proactive control paradigms can preemptively address issues, mitigating the negative impact on mobility.

In this paper we provide an overview of the work done in the area by the Huddersfield AI for Urban Traffic Management and Control research team.

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Notes

  1. 1.

    https://www.ai4utmc.info/.

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Acknowledgements

Mauro Vallati is supported by a UKRI Future Leaders Fellowship [grant number MR/T041196/1].

Author information

Authors and Affiliations

  1. University of Huddersfield, Huddersfield, HD13DH, UK

    Mauro Vallati

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  1. Mauro Vallati
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Correspondence to Mauro Vallati .

Editor information

Editors and Affiliations

  1. University of Huddersfield, Huddersfield, UK

    Grigoris Antoniou

  2. Ukrainian Catholic University, Lviv, Ukraine

    Vadim Ermolayev

  3. Kherson State University, Kherson, Ukraine

    Vitaliy Kobets

  4. Odessa National Polytechnic University, Odesa, Ukraine

    Vira Liubchenko

  5. University of Klagenfurt, Klagenfurt, Austria

    Heinrich C. Mayr

  6. Kherson State University, Kherson, Ukraine

    Aleksander Spivakovsky

  7. University of Warmia and Mazury in Olsztyn, Olsztyn, Poland

    Vitaliy Yakovyna

  8. V. N. Karazin Kharkiv National University, Kharkiv, Ukraine

    Grygoriy Zholtkevych

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Vallati, M. (2023). The Power of Good Old-Fashioned AI for Urban Traffic Control. In: Antoniou, G., et al. Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2023. Communications in Computer and Information Science, vol 1980. Springer, Cham. https://doi.org/10.1007/978-3-031-48325-7_1

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  • DOI: https://doi.org/10.1007/978-3-031-48325-7_1

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