Big Data, Technology and Transport: The State of Play

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Newman, Peter
Hargroves, Karlson Charlie
Stantic, Bela
Conley, Daniel
Ho, Daena
Grant, Georgia
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2016
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Abstract

Traffic congestion and disaster response are key issues facing transport planners and managers around the world with many now asking if there are promising technologies emerging that are offering new solutions. For instance, in the US alone the cost of congestion was estimated to be over $120 billion in 2012. Australia’s capital cities were estimated to have a combined congestion cost of $16 billion in 2015, which is expected to increase to $37 billion by 2030.1 The rapidly growing level of technology enablement of vehicles and urban infrastructure, combined with the growing ability to analyse larger and larger data sets, presents a significant opportunity for transport planning, design, and operation in the future. However, like many emerging technology areas, there is both great interest and great hype around ‘Big Data’. Building on two academic reports,2 the purpose of this industry report is to provide a clear summary of how real value can be developed with evidence of actual implementation. It is clear that despite the opportunities of Big Data not yet being fully realised it presents a valuable tool for transport planners and managers around the world.

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© The Author(s) 2016. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the publisher’s website for further information.

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Information and Computing Sciences not elsewhere classified

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