Abstract

Pedestrians are among the most vulnerable victims of road traffic accidents. Establishing an unsignalized
pedestrian crossing at intersections occasionally results in a high crash risk due to the fact that many vehicle
drivers do not heed the legitimate right of way of pedestrians, either deliberately or because of some kind of
distraction, speeding or deficiencies in the traffic environment. The primary objective of the OBSERVE project
was to develop a novel approach for evaluating crosswalks based on data from observed pedestrian-vehicle
driver interactions and local site conditions. Within the project, 85 unsignalized pedestrian crossings in the cities
of Graz and Vienna were investigated by means of video observation. The trajectories of different road user
categories were analysed to obtain information on driving and walking speeds, traffic behaviour, time gaps etc.
That information was subsequently used to model driving behaviour. For the modelling process, data from 54
zebra crossings were used. A beta-regression model identified the parameters ‘pedestrian crossing type’ and
‘pedestrian crossing width’ having the highest influence on the stopping probability.


Original document

The different versions of the original document can be found in:

http://dx.doi.org/10.5281/zenodo.1487526 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
http://dx.doi.org/10.5281/zenodo.1487527 under the license http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode


DOIS: 10.5281/zenodo.1487526 10.5281/zenodo.1487527

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Document information

Published on 01/01/2018

Volume 2018, 2018
DOI: 10.5281/zenodo.1487526
Licence: Other

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