Issue No. 02 - March-April (2012 vol. 27)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIS.2012.42
Raymond Ghandour , Université de Technologie de Compiègne
Alessandro Victorino , Université de Technologie de Compiègne
Ali Charara , Université de Technologie de Compiègne
Daniel Lechner , French National Institute for Transport and Safety Research
Improving road safety requires the assessment of risk indicators. Predicting these indicators is of major importance to in efforts to enhance safety systems and to warn drivers of dangerous situations. This article presents a prediction algorithm for risk indicators that combines assumptions about a vehicle's trajectory, velocity, and acceleration with existing road information to calculate risk indicators and detect possibly risky conditions in imminent driving situations. The algorithm is validated through experiments with a laboratory vehicle.
vehicle dynamics, tire/road contact forces, tire/road friction, lateral load transfer, lateral skid indicator
A. Victorino, A. Charara, D. Lechner and R. Ghandour, "Risk Indicators Evaluation Based on Anticipated Vehicle Dynamics Parameters," in IEEE Intelligent Systems, vol. 27, no. , pp. 68-73, 2012.