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Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets

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Intelligent Systems and Applications (IntelliSys 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1038))

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Abstract

Pollution from vehicles in congested cities is becoming increasing concern throughout the world. Indeed, many busy cities have introduced clean air policies such as congestion charges to reduce air pollution from road traffic. One contributor to traffic pollution is fleets of vehicles being used to perform scheduled tasks such as deliveries or maintenance. This paper will demonstrate how heuristic optimisation can better schedule the allocation of tasks to vehicles over longer term periods such that considerable reductions in vehicle usage can be achieved. Genetic Algorithms and Ant Colony Optimisation approaches will be compared as to their respective ability to reduce long term vehicle usage for a Birmingham based maintenance company which has a fleet of vans. Indeed, this paper demonstrates that with longer range optimisation as much as a 45% reduction in vehicle usage and hence emissions can be achieved with the associated benefit of reduced fuel costs.

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Notes

  1. 1.

    Air pollution levels rising in many of the worlds poorest cities. http://www.who.int/mediacentre/news/releases/2016/air-pollution-rising/en.

  2. 2.

    A Clean Air Zone for Birmingham

    https://www.birmingham.gov.uk/caz.

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Acknowledgment

This work was carried out under the System Analytics for Innovation project, which is part-funded by the European Regional Development Fund (ERDF).

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Authors and Affiliations

  1. Aston University, University Triangle, Birmingham, B4 7ET, UK

    Darren M. Chitty, Rakhi Parmar & Peter R. Lewis

Authors
  1. Darren M. Chitty
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  2. Rakhi Parmar
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  3. Peter R. Lewis
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Corresponding author

Correspondence to Darren M. Chitty .

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Editors and Affiliations

  1. School of Computing, Computer Science Research Institute, Ulster University, Newtownabbey, UK

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

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Chitty, D.M., Parmar, R., Lewis, P.R. (2020). Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1038. Springer, Cham. https://doi.org/10.1007/978-3-030-29513-4_6

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