Current state and future outlook of traffic data fusion in London
Current state and future outlook of traffic data fusion in London
Metropolitan areas today have become more than ever saturated with various types and sources of real-time data. Yet, the unsolved practical challenge how to most effectively combine data sources currently prevents the wide use of this data as a powerful tool to both improve the quality of the transport supply and to influence travel demand. Focusing on London, this paper investigates the current state and attempts to give an outlook into the future of traffic data fusion in dense urban network environments. Successes and gaps in the current state are identified, and extensions are proposed, along with respective deployment scenarios and impacts assessment.
1483-1488
Hu, Jun
1edec77d-bb7c-4335-aeb8-4618a9c5d917
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Bell, Michael G.H.
43cb125d-4892-4788-8bdf-471ee480d7e1
25 October 2012
Hu, Jun
1edec77d-bb7c-4335-aeb8-4618a9c5d917
Kaparias, Ioannis
e7767c57-7ac8-48f2-a4c6-6e3cb546a0b7
Bell, Michael G.H.
43cb125d-4892-4788-8bdf-471ee480d7e1
Hu, Jun, Kaparias, Ioannis and Bell, Michael G.H.
(2012)
Current state and future outlook of traffic data fusion in London.
15th IEEE Conference on Intelligent Transportation Systems, Anchorage, United States.
16 - 19 Sep 2012.
.
(doi:10.1109/ITSC.2012.6338702).
Record type:
Conference or Workshop Item
(Paper)
Abstract
Metropolitan areas today have become more than ever saturated with various types and sources of real-time data. Yet, the unsolved practical challenge how to most effectively combine data sources currently prevents the wide use of this data as a powerful tool to both improve the quality of the transport supply and to influence travel demand. Focusing on London, this paper investigates the current state and attempts to give an outlook into the future of traffic data fusion in dense urban network environments. Successes and gaps in the current state are identified, and extensions are proposed, along with respective deployment scenarios and impacts assessment.
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e-pub ahead of print date: September 2012
Published date: 25 October 2012
Venue - Dates:
15th IEEE Conference on Intelligent Transportation Systems, Anchorage, United States, 2012-09-16 - 2012-09-19
Organisations:
Transportation Group
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Local EPrints ID: 402682
URI: http://eprints.soton.ac.uk/id/eprint/402682
PURE UUID: aa2732f9-dea5-4080-9afb-52569fcc9031
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Date deposited: 16 Nov 2016 16:55
Last modified: 15 Mar 2024 03:57
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Author:
Jun Hu
Author:
Michael G.H. Bell
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