Low speed car following behaviour from floating vehicle data
Piao, J. and McDonald, M. (2003) Low speed car following behaviour from floating vehicle data. In, Proceedings of Intelligent Vehicles Symposium 2003. IEEE Intelligent Vehicles Symposium 2003 , IEEE, 462-467. (doi:10.1109/IVS.2003.1212955).
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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.
|Item Type:||Book Section|
|Subjects:||T Technology > TE Highway engineering. Roads and pavements
H Social Sciences > HE Transportation and Communications
T Technology > TA Engineering (General). Civil engineering (General)
|Divisions:||University Structure - Pre August 2011 > School of Civil Engineering and the Environment
|Date Deposited:||29 Jul 2008|
|Last Modified:||06 Aug 2015 02:42|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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