Vigilance monitoring for operator safety: A simulation study on highway driving

Desai, Anoop; Haque, Mohammad Akramul

doi:10.1016/j.jsr.2005.11.003

Cited by 52 publications

(26 citation statements)

References 27 publications

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“…According to Zhang et al (2013), fatigue contributes to 20% of road accidents, as it stimulates vigilance loss (Desai & Haque, 2006) and performance decrement (Williamson et al, 2011). Previous research has settled on a definition of fatigue as a non-optimal psychophysiological condition that affects performance and is caused by time of day, homeostatic, and task-related factors (May & Baldwin, 2009;Williamson et al, 2011;Phillips et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Effect Of Driving Duration On Eeg Fluctuations

Puspasari¹,

Iridiastadi

Sutalaksana

et al. 2017

IJTech

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Road accidents are a major issue in Indonesia, and their number increases every year. Based on previous studies, mental fatigue is one of the biggest factors leading to road accidents and is majorly affected by mental workload. Driving duration is one of the factors that triggers mental fatigue. The prior literature cites electroencephalogram (EEG) measurement as the gold standard for measuring fatigue. However, there has been only limited study to examine the EEG indicators that are affected by driving duration, and the prior research still contains disagreements regarding the best EEG parameter for use in measuring fatigue. Therefore, this study aimed to evaluate the effect of driving duration on EEG fluctuation and determine the best EEG parameter related to fatigue. Seven participants were asked to spend three hours driving in a medium-fidelity simulator. A one-way ANOVA and correlation analysis were performed to measure the effect of driving duration on the EEG indicators and determine the correlation of the indicators. A Receiver Operating Characteristics (ROC) curve was also utilized to determine the variable with the greatest correlation with the subjective sleepiness indices. The results showed that at the end of three hours' driving, there was an increment in delta and theta activities, followed by a decrement in alpha and beta activities. In addition, the correlation of all bands was significant, with positive results for the alpha-beta and theta-delta bands, and a negative result in relation to each other. Furthermore, the results from the ROC curve revealed the Relative Power Ratio (RPR) of theta, the RPR of alpha, and the ratio of θ/α+β to be the best indicators among others, demonstrating a high degree of accuracy (above 85%).

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Section: Introductionmentioning

confidence: 99%

Effect Of Driving Duration On Eeg Fluctuations

Puspasari¹,

Iridiastadi

Sutalaksana

et al. 2017

IJTech

View full text Add to dashboard Cite

show abstract

“…Behavioural Measures [2][25] [23] are also accurate and objective. This category of devices, most commonly known as acti-graph, is used to measure sleep based on the frequency of body movement.…”

Section: Behavioural Measuresmentioning

confidence: 99%

“…In [23], jerk profiles for the machine-human interfaces of vehicle are sensed as measures for assessing vigilance of the vehicle driver. Responding to the stimulus was considered as sign of vigilance.…”

Section: Behavioural Measuresmentioning

confidence: 99%

Current Status and Future Research Directions in Monitoring Vigilance of Individual or Mass Audience in Monotonous Working Environment

Momin¹

2012

IJSC

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“…Heitmann et al (2001) have developed a multi-parametric approach to monitor and prevent driver fatigue based on various auxiliary sensors, including a head position sensor, an eye-gaze system, a two pupil-based system and an in-seat vibration system, for alertness monitoring. Desai and Haque (2006) proposed a system to define the level of driver alertness based on the time derivative of force exerted by the driver at the vehicle-human interface, such as pressure on the accelerator pedal. Sandberg et al (2011) have proposed a physiological signals based method for abnormal driving detection.…”

Section: Introductionmentioning

confidence: 99%

An integrated solution for lane level irregular driving detection on highways

Sun

Ochieng

Feng

2015

Transportation Research Part C: Emerging Technologies

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Global Navigation Satellite Systems (GNSS) has been widely used in the provision of Intelligent Transportation System (ITS) services. Current meter level system availability can fulfill the road level applications, such as route guide, fleet management and traffic control. However, meter level of system performance is not sufficient for the advanced safety applications. These lane level safety applications requires centimeter/decimeter positioning accuracy, with high integrity, continuity and availability include lane control, collision avoidance and intelligent speed assistance, etc. Detecting lane level irregular driv-ing behavior is the basic requirement for these safety related ITS applications. The two major issues involved in the lane level irregular driving identification are accessing to high accuracy positioning and vehicle dynamic parameters and extraction of erratic driving behaviour from this and other related information. This paper proposes an integrated solu-tion for the lane level irregular driving detection. Access to high accuracy positioning is enabled by GNSS and Inertial Navigation System (INS) integration using filtering with precise vehicle motion models and lane information. The detection of different types of irregular driving behaviour is based on the application of a Fuzzy Inference System (FIS). The evaluation of the designed integrated systems in the field test shows that 0.5 m accu-racy positioning source is required for lane level irregular driving detection algorithm and the designed system can detect irregular driving styles.

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Vigilance monitoring for operator safety: A simulation study on highway driving

Cited by 52 publications

References 27 publications

Effect Of Driving Duration On Eeg Fluctuations

Effect Of Driving Duration On Eeg Fluctuations

Current Status and Future Research Directions in Monitoring Vigilance of Individual or Mass Audience in Monotonous Working Environment

An integrated solution for lane level irregular driving detection on highways

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