Quantifying the impacts of traffic incidents on urban freeway speeds

Hojati, Ahmad Tavassoli, Ferreira, Luis, Charles, Phil and Shobeirinejad, Ameneh (2013). Quantifying the impacts of traffic incidents on urban freeway speeds. In: Australasian Transport Research Forum 2013 Proceedings. 36th Australasian Transport Research Forum (2013 ATRF), Brisbane, Australia, (1-17). 2-4 October 2013.

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Name Description MIMEType Size Downloads
Author Hojati, Ahmad Tavassoli
Ferreira, Luis
Charles, Phil
Shobeirinejad, Ameneh
Title of paper Quantifying the impacts of traffic incidents on urban freeway speeds
Conference name 36th Australasian Transport Research Forum (2013 ATRF)
Conference location Brisbane, Australia
Conference dates 2-4 October 2013
Proceedings title Australasian Transport Research Forum 2013 Proceedings
Place of Publication Canberra, Australia
Publisher Australian Government, Department of Infrastructure and Regional Development
Publication Year 2013
Sub-type Fully published paper
Start page 1
End page 17
Total pages 17
Collection year 2014
Language eng
Formatted Abstract/Summary
Planning for traffic related congestion during peak periods continues to be one of the most important challenges facing road managers. Congestion may be thought of as either recurrent or non-recurrent. The latter is caused by factors such as incidents, work zones, weather, and special events. Traffic incidents are reported as the cause of 25 per cent of total delays in the US. However, its effect varies from place to place due to the local conditions.

Different types of traffic incidents affect drivers’ behaviour and the performance of vehicles. In an incident situation, the average headway between vehicles and the speed variability increases. The resultant impact on road speed profile is the main topic of the paper. The paper describes the methodology of extracting the impacts of traffic incidents including duration and delay on traffic speed for an urban freeway network.

The analysis of data from a case study in Brisbane is reported here. A section of an urban freeway has been studied in detail using inductive loop detector data and traffic incidents related variables for a period of 12 months. A variety of probability distribution functions were employed in order to test the best model for the duration and delay frequency distribution for each category of incident. The findings of this research will be used to put forward improved predictive delay models and travel time reliability models for urban freeway conditions.
Keyword Traffic factors
Vehicle speed
Traffic incident
Recurrent and non-recurrent congestion
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Conference Paper
Collections: School of Civil Engineering Publications
Official 2014 Collection
 
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Created: Wed, 05 Feb 2014, 15:56:33 EST by Julie Hunter on behalf of School of Civil Engineering