TY  - JOUR
PY  - 2016//
TI  - Pedestrian-vehicle interactions: early results from the Australian Naturalistic Driving Study (ANDS) (Safety-2016 abstract #250)
JO  - Injury prevention
A1  - Mattos, Garrett
A1  - Grzebieta, Raphael
A1  - Williamson, Ann
A1  - Olivier, Jake
A1  - Eusebio, Jan
A1  - Zheng, Wu Yi
A1  - Wall, John
A1  - Charlton, Jude
A1  - Lenné, Michael G.
A1  - Haley, Jack
A1  - Barnes, Ben
A1  - Rakotonirainy, Andry
A1  - Woolley, Jeremy
A1  - Senserrick, Teresa M.
A1  - Young, Kristie
A1  - Haworth, Narelle
A1  - Regan, Mike
A1  - Cockfield, Samanatha
A1  - Healy, David
A1  - Cavallo, Antonietta
A1  - Stefano, Marilyn Di
A1  - Wong, Hee Loong
A1  - Cameron, Iain
A1  - Cornish, Michael
A1  - Baird, Christine
SP  - A91
EP  - A92
VL  - 22
IS  - Suppl 2
N2  - BACKGROUND Typologies have been defined previously for pedestrian-vehicle interactions and are primarily based on retrospective analysis of crash data. The naturalistic driving study currently underway in Australia makes it possible to study pedestrian-vehicle interaction events that would not otherwise be identified in the crash data. This work evaluates the feasibility of using automated, manual, and semi-automated methods to identify pedestrian-vehicle interaction events.       METHODS Sensors and cameras were installed on the vehicles of volunteers in and around two major Australian cities which recorded their natural driving behaviour for 4 months. Forward video from select vehicles was reviewed independently by two reviewers to identify potential pedestrian-vehicle interaction events from which a typology of behaviours was formulated. These events served as the gold standard against which select automated and semi-automated means of identification were assessed.       RESULTS A prototype typology of pedestrian-vehicle interaction events was formulated using naturalistic driving data and categorised in terms of risk of being struck. Some case scenarios will be discussed. The feasibility of using select automated, semi-automated, and manual methods to identify these events was also evaluated.       CONCLUSIONS This work provides a first look at using Australian naturalistic driving data to study the interactions between vehicles and pedestrians. These findings will assist in the development of methods that can be used to most effectively answer research questions pertaining to interactions between vehicles and pedestrians as well as other vulnerable road users in the future.     Abstract from Safety 2016 World Conference, 18-21 September 2016; Tampere, Finland.     Copyright © 2016 The author(s), Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions   <p />  <p>Language: en</p>
LA  - en
SN  - 1353-8047
UR  - http://dx.doi.org/10.1136/injuryprev-2016-042156.250
ID  - ref1
ER  -