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Towards situation-awareness and ubiquitous data mining for road safety: Rationale and architecture for a compelling application

Krishnaswamy, Shonali, Loke, Seng Wai, Rakotonirainy, Andry, Horovitz, Osnat, & Gaber, Mohamed Medhat (2005) Towards situation-awareness and ubiquitous data mining for road safety: Rationale and architecture for a compelling application. In Intelligent Vehicles and Road Infrastructure Conference, 16-17 February 2005, Melbourne, Victoria.

Abstract

Road crashes cost Australia $15 billion a year and 95% of these are attributed to drivers' errors. Risk assessment is at the core of the road safety problem. This paper presents an Advanced Driving Assistance System (ADAS), called SAWUR, that analyses situational driver behaviour and proposes real-time countermeasures to minimise fatalities/ casualties. The system is based on Ubiquitous Data Mining (UDM) concepts. It fuses and analyses different types of information from crash data and physiological sensors to diagnose driving risks in real-time. The novelty of our approach consists of augmenting the diagnosis through UDM with associated countermeasures based on a context awareness mechanism. In other words, our system diagnoses and chooses a countermeasure by taking into account the contextual situation of the driver and the road conditions. The types of context we exploit include vehicle dynamics, drivers' physiological condition, driver's profile and environmental conditions. The rationale for exploiting contextual information is to increase the accuracy of the diagnosis (90%) and to reduce false alarm rates (below 1%). The ultimate goal is to decrease driver's exposure to risks.

Impact and interest:

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ID Code: 9684
Item Type: Conference Paper
Additional URLs:
Keywords: Ubiquitous Data Mining, Situation Awareness, Road Safety
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100)
Australian and New Zealand Standard Research Classification > COMMERCE MANAGEMENT TOURISM AND SERVICES (150000) > TRANSPORTATION AND FREIGHT SERVICES (150700) > Road Transportation and Freight Services (150703)
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Current > QUT Faculties and Divisions > Faculty of Health
Copyright Owner: Copyright 2005 (please consult author)
Deposited On: 24 Sep 2007
Last Modified: 29 Feb 2012 23:15

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