The University of Southampton
University of Southampton Institutional Repository

Low speed car following behaviour from floating vehicle data

Low speed car following behaviour from floating vehicle data
Low speed car following behaviour from floating vehicle data
In this paper, an analysis of driver behaviour is reported focusing on car following separation at low speed traffic conditions. The data used for this analysis was collected using an instrumented vehicle in three European cities: Oslo (Norway), Paris (France) and Southampton (UK). The data collection covered a wide range of traffic conditions on urban motorways, urban arterial roads and urban streets. Time gaps and distance gaps in low speed traffic conditions were investigated and were compared with those in high speed traffic conditions. This research is part of the work of STARDUST, an EU project aimed at assessing the extent to which Advanced Driver Assistance Systems (ADAS) and Automated Vehicle Guidance (AVG) systems can contribute to sustainable urban development. The results obtained will be fed into simulation models in the next stage of the project, to assess the impacts of selected ADAS systems in the urban applications.
0780378482
462-467
IEEE
Piao, J.
e45bc312-b445-4b93-809a-726de0b565f6
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f
Piao, J.
e45bc312-b445-4b93-809a-726de0b565f6
McDonald, M.
cd5b31ba-276b-41a5-879c-82bf6014db9f

Piao, J. and McDonald, M. (2003) Low speed car following behaviour from floating vehicle data. In Proceedings of Intelligent Vehicles Symposium 2003. IEEE. pp. 462-467 . (doi:10.1109/IVS.2003.1212955).

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, an analysis of driver behaviour is reported focusing on car following separation at low speed traffic conditions. The data used for this analysis was collected using an instrumented vehicle in three European cities: Oslo (Norway), Paris (France) and Southampton (UK). The data collection covered a wide range of traffic conditions on urban motorways, urban arterial roads and urban streets. Time gaps and distance gaps in low speed traffic conditions were investigated and were compared with those in high speed traffic conditions. This research is part of the work of STARDUST, an EU project aimed at assessing the extent to which Advanced Driver Assistance Systems (ADAS) and Automated Vehicle Guidance (AVG) systems can contribute to sustainable urban development. The results obtained will be fed into simulation models in the next stage of the project, to assess the impacts of selected ADAS systems in the urban applications.

This record has no associated files available for download.

More information

Published date: 28 July 2003
Venue - Dates: IEEE Intelligent Vehicles Symposium 2003, Columbus, USA, 2003-06-09 - 2003-06-11

Identifiers

Local EPrints ID: 53742
URI: http://eprints.soton.ac.uk/id/eprint/53742
ISBN: 0780378482
PURE UUID: 6198db6e-3c7f-45c9-8159-f9f3aa7d40b5

Catalogue record

Date deposited: 29 Jul 2008
Last modified: 15 Mar 2024 10:42

Export record

Altmetrics

Contributors

Author: J. Piao
Author: M. McDonald

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×