Risk indicators evaluation based on anticipated vehicle dynamics parameters

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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE intelligent systems 2012-03, Vol.27 (2), p.68-73
Main Authors: Ghandour, R., Victorino, A., Charara, A., Lechner, D.
Format: Article
Language:English
Subjects:
Acceleration
Algorithms
Applied sciences
Artificial intelligence
Automatic
Computer science
control theory
systems
Engineering Sciences
Exact sciences and technology
Friction
lateral load transfer
lateral skid indicator
Risk assessment
Risk management
Road accidents
Road safety
Road traffic
tire/road contact forces
tire/road friction
Traffic accidents & safety
Vehicle dynamics
Vehicle safety
Velocity
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1541-1672
1941-1294
DOI:10.1109/MIS.2012.42