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Fine-grained traffic state estimation and visualisation

Box, Simon, Chen, Xiaoyu, Blainey, Simon and Munro, Stuart (2014) Fine-grained traffic state estimation and visualisation Proceedings of the Institution of Civil Engineers - Civil Engineering, 167, (5), pp. 9-16. (doi:10.1680/cien.13.00023).

Record type: Article

Abstract

Tools for visualising the current traffic state are used by local authorities for strategic monitoring of the traffic network and by everyday users for planning their journey. Popular visualisations include those provided by Google Maps and by Inrix. Both employ a traffic lights colour-coding system, where roads on a map are coloured green if traffic is flowing normally and red or black if there is congestion. New sensor technology, especially from wireless sources, is allowing resolution down to lane level. A case study is reported in which a traffic micro-simulation test bed is used to generate high-resolution estimates. An interactive visualisation of the fine-grained traffic state is presented. The visualisation is demonstrated using Google Earth and affords the user a detailed three-dimensional view of the traffic state down to lane level in real time.

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More information

Published date: 1 May 2014
Keywords: traffic engineering, roads & highways, transport management
Organisations: Faculty of Engineering and the Environment

Identifiers

Local EPrints ID: 363667
URI: http://eprints.soton.ac.uk/id/eprint/363667
ISSN: 0965-089X
PURE UUID: bc0bc581-c68f-4b89-934a-232cf08f2bf5
ORCID for Simon Blainey: ORCID iD orcid.org/0000-0003-4249-8110

Catalogue record

Date deposited: 31 Mar 2014 08:25
Last modified: 08 Sep 2017 16:32

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Contributors

Author: Simon Box
Author: Xiaoyu Chen
Author: Simon Blainey ORCID iD
Author: Stuart Munro

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