Objective: The aim of this study is to introduce a methodology to assess driver's emotion stability by using bio-signals. Background: Psychophysiological analysis of driver's behavior has been conducted to improve the driving safety and comfort. However, the variability of bio-signal and individual difference made it difficult to assess the psychophysiological status of drivers that can be expressed as emotional stability of drivers. Method: Two experimental studies were reviewed and summarized. New techniques assessing emotional stability of drivers were explained. Statistical concept and multi-dimensional space were used to identify the emotionally stable conditions. Conclusion: Psychophysiological approach can provide information of driver's emotional status. The experimental methodology and algorithm used in this study showed the possibility of parameterization of psychophysiological response. Application: Currently measured statistical and geometrical data can be further applied to develop an interactive device monitoring and reacting driver's emotion when driver experiences

This project developed a prototype integrated system that combines machine vision-based drowsy driver monitoring technology and analysis of operator/vehicle performance parameters to reliably assess driver drowsiness. The purpose of this system will be to reliably quantify commercial motor vehicle driver drowsiness and provide a real-time warning to the driver and/or a control output to the commercial motor vehicle or other systems as warranted. The work performed under the project included: • Survey of the literature associated with the detection and monitoring of bouts of fatigue and drowsiness. • Preliminary focus group research to gather driver preferences for drowsiness feedback and warnings. • Machine vision-based eye closure monitor trade study. Development of an integrated prototype Driver Drowsiness Monitoring System. • On-road evaluation of the Driver Drowsiness Monitoring System.

The purpose of this research was to determine how team design and project management (planning and tracking) affected planning and design performance and the people involved in the process. A laboratory study was conducted to evaluate three factors: team design (individuals versus groups of

Summary: The differential effects of three hours of monotonous daytime driving on subjective (sleepiness, inattention, monotony), performance (choice reaction time), and physiological (EEG alpha power, P300-amplitude, heart rate) vigilance measures were examined. A linear degradation of drivers ’ subjective state, mean long reaction times (as opposed to short ones), P300-amplitude and parietal alpha power with time spent on the highway was identified. An improvement of the subjective measures towards the end of the driving task was not accompanied by any improvement in performance or physiological measures. This dissociation of self-assessment and objective vigilance measures has important implications for the design of modern driver assistant systems that aim to adapt to the driver’s state.

Abstract not found

The work performed under this project included a literature review of topics related to commercial motor vehicle driver fatigue (including topics of work hours, driving time, duty periods, and restart/recovery periods) published between 2006 and July 2010. The research also included an assessment of the tasks drivers perform in a typical workday. In addition, analyses were conducted to determine the impact of driving hours, work hours, and breaks on driving performance. NOTICE This document is disseminated under the sponsorship of the U.S. Department of Transportation in the interest of information exchange. The United States Government assumes no liability for its contents or the use thereof. The contents of this Report reflect the views of the contractor, who is responsible for the accuracy of the data presented herein. The contents do not necessarily reflect the official policy of the Department of Transportation. This Report does not constitute a standard, specification, or regulation. The United States Government does not endorse products or manufacturers named herein. Trade

Based on Coroners ' verdicts, fatigue of car or truck drivers was a contributing factor in 9.1 % of fatal accidents involving trucks. Based on the presence of factors such as extended driving hours, falling asleep at the wheel, comments about tiredness, driving right of centre and night-time driving, the authors estimated fatigue contributed to 19.9 % of the accidents. There were approximately equal numbers of fatigued car drivers and truck drivers. An analysis of casualty and fatal truck accidents by time of day (adjusted for exposure) showed that accident risks were highest during the night on all five Victorian highways studied. Driver fatigue is one of the possible factors underlying this pattern of elevated risk. The report section described in-vehicle fatigue counter-measures. The distinction between fatigue monitors and alerting devices was made and it was recommended that eye closure and head nodding monitors and an alerting device be tested in the next stage of this project. Key Words: Fatigue (human), accident rate, fatality,

Blinks and saccades as indicators of fatigue in

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It is argued that despite the large volume of vigilance research, only limited progress has been made in formulating principles and testing countermeasures aimed at minimizing the vigilance problem. In part this is because of the way we design our experiments, including the use of esoteric tasks, limited watch durations, and sterile experimental environments. More rapid progress toward knowledge that can be applied to real-world tasks requiring vigilance will be made if we pay greater heed to the critical features of operational tasks in designing our laboratory experiments. Examples are provided of how specificity of human responses to stimulus, temporal, and environmental variables in vigilance experiments could have led investigators to totally erroneous conclusions about the presence of the vigilance decrement and the effectiveness of potential countermeasures. The argument that basic re-search leads to generalizations of greater scientific power than research studies modeled after real-world conditions is challenged.