DocumentCode :
3500417
Title :
Vehicle operation safety monitoring using context based metrics: A case study
Author :
Ward, Jamie ; Worrall, Stewart ; Agamennoni, Gabriel ; Nebot, Eduardo
Author_Institution :
Intell. Transp. & Safety Syst. Group, Univ. of Sydney, Sydney, NSW, Australia
fYear :
2013
fDate :
23-26 June 2013
Firstpage :
19
Lastpage :
24
Abstract :
This paper presents results of the deployment of vehicle safety systems developed by the Intelligent Vehicles and Safety Systems Group at the Australian Centre for Field Robotics. The technology was deployed within an active mine site in Australia undergoing standard open-cut mining operations. Data were collected from the vehicles and analysed in order to assess the overall safety and performance of the vehicle operations within the mine. Metrics calculated include distributions of vehicle paths along stretches of road for driving line analysis, and statistics around vehicle events such as overspeed and proximity to other vehicles.
Keywords :
mining equipment; safety; vehicle dynamics; context based metrics; driving line analysis; field robotics; intelligent vehicles; mine site; overspeed; standard open cut mining operations; vehicle events; vehicle operation performance; vehicle operation safety monitoring; vehicle paths; vehicle safety systems; Global Positioning System; Measurement; Monitoring; Roads; Safety; Standards; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location :
Gold Coast, QLD
ISSN :
1931-0587
Print_ISBN :
978-1-4673-2754-1
Type :
conf
DOI :
10.1109/IVS.2013.6629441
Filename :
6629441
Link To Document :
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