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Network effects of intelligent speed adaptation systems

Liu, R. and Tate, J.E. (2004) Network effects of intelligent speed adaptation systems. Transportation, 31 (3). pp. 297-325. ISSN 1572-9435

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Abstract

Intelligent Speed Adaptation (ISA) systems use in-vehicle electronic devices to enable the speed of vehicles to be regulated externally. They are increasingly appreciated as a flexible method for speed management and control, particularly in urban areas. On-road trials using a small numbers of ISA equipped vehicles have been carried out in Sweden, the Netherlands, Spain and the UK. This paper describes the developments made to enhance a traffic microsimulation model in order to represent ISA implemented across a network and their impact on the networks. The simulation modelling of the control system is carried out on a real-world urban network, and the impacts on traffic congestion, speed distribution and the environment assessed. The results show that ISA systems are more effective in less congested traffic conditions. Momentary high speeds in traffic are effectively suppressed, resulting in a reduction in speed variation which is likely to have a positive impact on safety. Whilst ISA reduces excessive traffic speeds in the network, it does not affect average journey times. In particular, the total vehicle-hours travelling at speeds below 10 km/hr have not changed, indicating that the speed control had not induced more slow-moving queues to the network. A significant, eight percent, reduction in fuel consumption was found with full ISA penetration. These results are in accordance with those from field trials and they provide the basis for cost-benefit analyses on introducing ISA into the vehicle fleet. Contrary to earlier findings from the Swedish ISA road trials, these network simulations showed that ISA had no significant effect on emission of gaseous pollutants CO, NOx and HC. Further research is planned to investigate the impact on emission with a more comprehensive and up to date modal emission factor database.

Item Type: Article
Copyright, Publisher and Additional Information: © 2004 Springer. This is an author produced version of a paper published in Transportation. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: intelligent speed adaptation, driver support systems, dynamic network modelling, microsimulation, congestion.
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds)
Depositing User: Adrian May
Date Deposited: 03 Aug 2007
Last Modified: 08 Feb 2013 17:04
Published Version: http://springerlink.metapress.com/content/g5081021...
Status: Published
Publisher: Springer Verlag
Refereed: Yes
Identification Number: DOI: 10.1023/B:PORT.0000025394.78857.13
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/2489

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