Malkhamah, S., Tight, M.R. and Montgomery, F.O. (2005) The development of an automatic method of safety monitoring at Pelican Crossings. Accident Analysis and Prevention, 37 (5). pp. 938-946. ISSN 0001-4575
Abstract
This paper reports on the development of a method for automatic monitoring of safety at Pelican crossings. Historically, safety monitoring has typically been carried out using accident data, though given the rarity of such events it is difficult to quickly detect change in accident risk at a particular site. An alternative indicator sometimes used is traffic conflicts, though this data can be time consuming and expensive to collect. The method developed in this paper uses vehicle speeds and decelerations collected using standard in-situ loops and tubes, to determine conflicts using vehicle decelerations and to assess the possibility of automatic safety monitoring at Pelican crossings. Information on signal settings, driver crossing behaviour, pedestrian crossing behaviour and delays, and pedestrian-vehicle conflicts was collected synchronously through a combination of direct observation, video analysis, and analysis of output from tube and loop detectors. Models were developed to predict safety, i.e. pedestrian-vehicle conflicts using vehicle speeds and decelerations.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2005 Elsevier B.V. This is an author produced version of a paper published in Accident Analysis & Prevention. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Automatic safety monitoring, pedestrian crossings, conflicts |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) |
Depositing User: | Adrian May |
Date Deposited: | 02 Aug 2007 |
Last Modified: | 30 Oct 2016 08:18 |
Published Version: | http://www.sciencedirect.com/science/journal/00014... |
Status: | Published |
Publisher: | Elsevier Science |
Refereed: | Yes |
Identification Number: | 10.1016/j.aap.2005.04.012 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:2579 |