Validation for intersection conflict models governed by the volumes of conflicting streams in multiplication terms
by Liang-Tay Lin, Hung-Jen Huang
International Journal of Applied Management Science (IJAMS), Vol. 2, No. 2, 2010

Abstract: Some researchers have developed a probabilistic model, a traffic multiplication term, for conflicts at urban uncontrolled intersections. However, such estimates lack theoretical bases and depend only on researchers' professional judgements. Few researchers have empirically observed the behaviour of vehicles traversing intersections before deriving models and previous models merely calculate multiplication terms from traffic volumes approaching intersections. This study utilises the expected value principle to derive quantitative conflict models for evaluating intersection safety. Validation shows that these models can reasonably estimate intersection conflicts even when distributions of conflicting arrivals are ignored. Comparison with other models demonstrates that the proposed models can easily analyse intersection safety without the need for initial calibration of the coefficient of the models. Engineers may simply substitute real-world conflicting traffic volumes into the proposed models to judge intersection safety offline or during the planning process. The findings are helpful for reducing the complexity of the conflict technique.

Online publication date: Wed, 20-Jan-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Applied Management Science (IJAMS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com