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The Quality of Behavioral and Environmental Indicators Used to Infer the Intention to Change Lanes
Author(s) -
Matthias Henning,
Oliver Georgeon,
Josef F. Krems
Publication year - 2007
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/drivingassessment.1242
Subject(s) - alarm , computer science , field (mathematics) , quality (philosophy) , false alarm , constant false alarm rate , artificial intelligence , engineering , mathematics , philosophy , epistemology , pure mathematics , aerospace engineering
This study focuses on the examination and comparison of selected behavioural and environmental indicators that predict the intention to change lanes. These indicators were chosen from previous driving studies and driver models. The data were gathered in a field study with an instrumented car that can log data from the driver, the car, and the environment. The collected data were analysed and modelled with the help of a "knowledge discovery framework" (Georgeon, Mille, & Bellet, 2006). The first analysis of all lane changes caused by a slow leading vehicle focuses on the following indicators: glance to the left outside mirror, turn signal, and lane crossing. It is shown that the glance to the left outside mirror could serve as a predictor with a high potential to get information about the intention to change lanes in a very early stage. However, it is important to combine this predictor with additional predictors to avoid a high false alarm rate.

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