Validation for intersection conflict models governed by the volumes of conflicting streams in multiplication terms
AbstractSome 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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Inderscience Enterprises Ltd in its journal Int. J. of Applied Management Science.
Volume (Year): 2 (2010)
Issue (Month): 2 ()
Contact details of provider:
Web page: http://www.inderscience.com/browse/index.php?journalID=286
traffic conflict; intersection safety; conflicting streams; roads; highways; probabilistic models; traffic multiplication; motor cars; vehicles; traffic control; traffic volumes; quantitative conflict models; planning; applied management science.;
You can help add them by filling out this form.
reading list or among the top items on IDEAS.Access and download statisticsgeneral information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Graham Langley) or (Christopher F. Baum).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.