DocumentCode :
8667
Title :
Empirical analysis of the causes of stop-and-go waves at sags
Author :
Ros, Bernat Goñi ; Knoop, Victor L. ; van Arem, Bart ; Hoogendoorn, Serge P.
Author_Institution :
Dept. of Transp. & Planning, Delft Univ. of Technol., Delft, Netherlands
Volume :
8
Issue :
5
fYear :
2014
fDate :
Aug-14
Firstpage :
499
Lastpage :
506
Abstract :
Stop-and-go waves are spatially-confined regions of low traffic speed that propagate upstream at a constant velocity. The occurrence of stop-and-go waves on freeways has negative impacts on both travel time and traffic safety. Sags are freeway sections along which gradient changes significantly from downwards to upwards. Stop-and-go waves often emerge on the uphill section of sags, both in uncongested and congested traffic conditions. According to previous studies, the formation of stop-and-go waves at sags can be caused by local changes in car-following behaviour as well as disruptive lane changes. However, it is not clear which of those two causes is more frequent. This paper aims to identify the primary factor triggering stop-and-go waves at sags. To this end, the authors analyse vehicle trajectories collected by means of video cameras on a three-lane sag of the Tomei Expressway (Japan), identifying the causes of formation and growth of stop-and-go waves on the study site. The results show that the primary factor triggering stop-and-go waves is related to car-following behaviour. This finding shows the relevance of developing systems to assist drivers in performing the acceleration task at sags.
Keywords :
data analysis; driver information systems; road traffic; video cameras; Japan; Tomei Expressway; car-following behaviour; disruptive lane changes; freeway sections; low traffic speed regions; stop-and-go waves; three-lane sag; traffic safety; travel time; uncongested traffic conditions; vehicle trajectories; video cameras;
fLanguage :
English
Journal_Title :
Intelligent Transport Systems, IET
Publisher :
iet
ISSN :
1751-956X
Type :
jour
DOI :
10.1049/iet-its.2013.0102
Filename :
6870338
Link To Document :
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