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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationIntelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2
EditorsYaxin Bi, Rahul Bhatia, Supriya Kapoor
PublisherSpringer
Chapter6
Pages70-89
Number of pages20
Volume1038
ISBN (Electronic)978-3-030-29513-4
ISBN (Print)978-3-030-29512-7
DOIs
Publication statusE-pub ahead of print - 24 Aug 2019

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1038
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Fingerprint

Air quality
Pollution
Ant colony optimization
Air pollution
Genetic algorithms
Air
Costs
Industry

Bibliographical note

Funding: System Analytics for Innovation project, part-funded by the European Regional Development Fund (ERDF).

Keywords

  • Emission reduction
  • Heuristic optimisation
  • Vehicle Routing

Cite this

Chitty, D. M., Parmar, R., & Lewis, P. R. (2019). Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets. In Y. Bi, R. Bhatia, & S. Kapoor (Eds.), Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2 (Vol. 1038, pp. 70-89). (Advances in Intelligent Systems and Computing; Vol. 1038). Springer. https://doi.org/10.1007/978-3-030-29513-4_6
Chitty, Darren M. ; Parmar, Rakhi ; Lewis, Peter R. / Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets. Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2. editor / Yaxin Bi ; Rahul Bhatia ; Supriya Kapoor. Vol. 1038 Springer, 2019. pp. 70-89 (Advances in Intelligent Systems and Computing).
@inproceedings{742c0f6290174dbf8a27dab16ce8e745,
title = "Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets",
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.",
keywords = "Emission reduction, Heuristic optimisation, Vehicle Routing",
author = "Chitty, {Darren M.} and Rakhi Parmar and Lewis, {Peter R.}",
note = "Funding: System Analytics for Innovation project, part-funded by the European Regional Development Fund (ERDF).",
year = "2019",
month = "8",
day = "24",
doi = "10.1007/978-3-030-29513-4_6",
language = "English",
isbn = "978-3-030-29512-7",
volume = "1038",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer",
pages = "70--89",
editor = "Yaxin Bi and Rahul Bhatia and Supriya Kapoor",
booktitle = "Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2",
address = "Germany",

}

Chitty, DM, Parmar, R & Lewis, PR 2019, Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets. in Y Bi, R Bhatia & S Kapoor (eds), Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2. vol. 1038, Advances in Intelligent Systems and Computing, vol. 1038, Springer, pp. 70-89. https://doi.org/10.1007/978-3-030-29513-4_6

Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets. / Chitty, Darren M.; Parmar, Rakhi; Lewis, Peter R.

Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2. ed. / Yaxin Bi; Rahul Bhatia; Supriya Kapoor. Vol. 1038 Springer, 2019. p. 70-89 (Advances in Intelligent Systems and Computing; Vol. 1038).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets

AU - Chitty, Darren M.

AU - Parmar, Rakhi

AU - Lewis, Peter R.

N1 - Funding: System Analytics for Innovation project, part-funded by the European Regional Development Fund (ERDF).

PY - 2019/8/24

Y1 - 2019/8/24

N2 - 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.

AB - 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.

KW - Emission reduction

KW - Heuristic optimisation

KW - Vehicle Routing

UR - http://link.springer.com/10.1007/978-3-030-29513-4_6

UR - http://www.scopus.com/inward/record.url?scp=85072830483&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-29513-4_6

DO - 10.1007/978-3-030-29513-4_6

M3 - Conference contribution

SN - 978-3-030-29512-7

VL - 1038

T3 - Advances in Intelligent Systems and Computing

SP - 70

EP - 89

BT - Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2

A2 - Bi, Yaxin

A2 - Bhatia, Rahul

A2 - Kapoor, Supriya

PB - Springer

ER -

Chitty DM, Parmar R, Lewis PR. Improving Urban Air Quality Through Long-Term Optimisation of Vehicle Fleets. In Bi Y, Bhatia R, Kapoor S, editors, Intelligent Systems and Applications - Proceedings of the 2019 Intelligent Systems Conference IntelliSys Volume 2. Vol. 1038. Springer. 2019. p. 70-89. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-29513-4_6