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conference paper not in proceedings

Towards a pro-active model for identifying motorway traffic risks

Pham, Minh-Hai  
•
Bhaskar, Ashish  
•
Chung, Edward
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2010
The IET Road Transport Information and Control Conference and the ITS United Kingdom Members’ Conference.

This paper presents a methodology to develop motorway traffic risk identification models using individual vehicle traffic data, meteorological data and crash database for a study site at a two-lane-per-direction section on motorway A1 in Switzerland. We define traffic situations (TSs) representing traffic status for three-minute interval and traffic regimes obtained by clustering TSs. The models are traffic regimes – based and are developed using Regression Trees to identify rear-end collision risks. Interpreting results shows that speed variance on the right lane and speed difference between two lanes are the two main causes of rear-end crashes. We also compare the results obtained from three-minute TSs with the results obtained from five-minute TSs using the same methodology.

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Type
conference paper not in proceedings
DOI
10.1049/cp.2010.0393
Author(s)
Pham, Minh-Hai  
•
Bhaskar, Ashish  
•
Chung, Edward
•
Dumont, André-Gilles  
Date Issued

2010

Subjects

Risk-sensitive active traffic management

•

traffic situation

•

traffic regime

•

rear-end crash

Peer reviewed

NON-REVIEWED

Written at

OTHER

EPFL units
LAVOC  
NEARCTIS
Event nameEvent placeEvent date
The IET Road Transport Information and Control Conference and the ITS United Kingdom Members’ Conference.

London

May 25-27, 2010

Available on Infoscience
June 4, 2010
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/50658
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