Adaptive intelligent traffic control systems for improving traffic quality and congestion in smart cities

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dc.contributor.authorAhmed, Aminah Hardwan
dc.contributor.authorFragonara, Luca Zanotti
dc.date.accessioned2021-03-30T14:03:57Z
dc.date.available2021-03-30T14:03:57Z
dc.date.issued2021-01-31
dc.description.abstractA systematic review was undertaken to examine the solutions available for traffic congestion and associated problems in smart cities. Google Scholar and Google were used as search engines, leading to the final selection of 35 eligible papers for inclusion in this review, after a serious of screening based on definite criteria. Intelligent transport systems were found to be the most suitable solution to traffic congestion and associated problems in smart cities. Certain models and frameworks of smart cities include smart mobility and transport management systems. These can be approximated to intelligent transport systems. True intelligent transport systems are infrastructure-based or intelligent vehicle based or more preferably, a combination of both. The Internet of Things and cloud computing should be built into the system as they enable the operation of smart transport networks. Some methods of designing traffic control systems combining both Eulerian and Lagrangian approaches have been discussed for the possibility of using any of them to design a new automatic traffic monitoring and control system for smart cities. The practical implication of this research is that it can improve quality of life of people by minimizing traffic congestion. Limitations of this paper include this being a systematic review, availability of very few papers and not considering adaptive intelligent traffic control systems. Explanations for these limitations have been provideden_UK
dc.identifier.citationAhmed AH, Zanotti Fragonara L. (2020) Adaptive intelligent traffic control systems for improving traffic quality and congestion in smart cities. International Journal for Quality Research, Volume 15, Issue 1, 2021, pp.139-154en_UK
dc.identifier.issn1800-6450
dc.identifier.urihttps://doi.org/10.24874/IJQR15.01-08
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16520
dc.language.isoenen_UK
dc.publisherUniversity of Montenegroen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectSmart citiesen_UK
dc.subjectIntelligent traffic systemen_UK
dc.subjectAdaptive traffic controlen_UK
dc.titleAdaptive intelligent traffic control systems for improving traffic quality and congestion in smart citiesen_UK
dc.typeArticleen_UK

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