International Journal of Vehicle Design · 2001 · 53 citations · 0 references
EngineeringAutomotive EngineeringComputer ScienceArtificial IntelligenceAutomotive DiagnosticsMachine LearningIntelligent Transportation SystemsOn-board DiagnosticsPattern RecognitionRoad SafetyTraffic SafetyDistraction During DrivingDriver BehaviorDriver Behavior MonitoringDriver DistractionDriver Drowsiness DetectionDriver TestingDriving Simulator AssessmentFuzzy Logic Diagnosis
Apart from the driving behavioural change that can be the direct consequence of operating a car phone, phone-use related behaviour may also be a threat to traffic safety. Making notes or looking up telephone numbers while driving are examples of such behaviour. In a driving simulator experiment, 20 drivers drove in two conditions under normal driving conditions and while being distracted because of telephone engagement. In the "distracted" condition they had to handle a mobile phone while their attention was drawn off the road for up to several seconds by a telephone number search task. Results showed both a deterioration in driver performance on different vehicle parameters including behavioural (speed) compensation as a result of the demanding telephone task. In an effort to develop an on-board detection system for this type of driver inattention, the data were used to serve as input for a real time diagnosis system based on Statistics, Artificial Neural Networks (ANNs) and Fuzzy Logic (FL). System performance in recognising normal and deteriorated driving behaviour was 89%. On-line detection of driver distraction is considered feasible in the near future.