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Volume 7 , Issue 3 , September 2021 , Pages: 60 - 67
How Can “Big Data” Be Harnessed to Enhance Congestion Management
Karlson Hargroves, Curtin University Sustainability Policy Institute, Curtin University, Perth, Australia
Daena Ho, Curtin University Sustainability Policy Institute, Curtin University, Perth, Australia
Daniel Conley, Curtin University Sustainability Policy Institute, Curtin University, Perth, Australia
Peter Newman, Curtin University Sustainability Policy Institute, Curtin University, Perth, Australia
Received: Jun. 17, 2021;       Accepted: Jul. 14, 2021;       Published: Jul. 29, 2021
DOI: 10.11648/j.ijtet.20210703.11        View        Downloads  
Abstract
Traffic congestion is a key issue facing transport planners and managers around the world with many now asking if there are any promising technologies offering new solutions. In the US, the cost of congestion was $121 billion in 2012 and in 2015 alone Australia’s capital cities were estimated to have a combined congestion cost of $16 billion, expected increase to $37 billion by 2030. With the rapidly growing availability of data and the ability to analyse large data sets this paper investigates the question “What role can 'Big Data' play to assist with congestion management?” There is great interest and hype around 'Big Data' and this paper provides a summary of an investigation into its value to assist in relieving congestion. The paper explores the emerging types of large data sets, considers how data will be sourced and shared by vehicles and transport infrastructure in the future, ad explores some of the associated challenges. Despite the opportunities of Big Data not being fully realised it is already clear that it presents a significant tool for transport planners and managers around the world to assist in managing congestion. The research is based on research undertaken with the Sustainable Built Environment National Research Centre (SBEnrc).
Keywords
Big Data, Predictive Congestion Management, Technology Enabled Transport
To cite this article
Karlson Hargroves, Daena Ho, Daniel Conley, Peter Newman, How Can “Big Data” Be Harnessed to Enhance Congestion Management, International Journal of Transportation Engineering and Technology. Vol. 7, No. 3, 2021, pp. 60-67. doi: 10.11648/j.ijtet.20210703.11
Copyright
Copyright © 2021 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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