Effects of driver sleepiness and fatigue on violations among truck drivers in India

Mahajan, Kirti; Velaga, Nagendra R.; Kumar, Akhilesh; Choudhary, Pushpa

doi:10.1080/17457300.2019.1660375

Cited by 37 publications

(22 citation statements)

References 57 publications

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Section: A Capturing the Effects Of Contextual Factorsmentioning

confidence: 99%

“…Questionnaires and surveys have been the main tools to capture the influence of contextual factors on driving behaviours [11], [24]- [27]. The tools consist of discrete-valued response-format questions asking participants (a) to rate the extent to which they agree with statements relating to how different factors affect driving behaviours [11] ; (b) how often the participants engage in risky driving [24]- [26]; and/or (c) rank factors based on their contributions to accidents [27]. Examples of such discrete-valued response-format scales are a seven-point Likert scale (from 1, 'strongly disagree', to 7, 'strongly agree') and a six-point scale (from 0, 'never', to 5, 'all the time') where participants are asked to select a single response.…”

Section: A Capturing the Effects Of Contextual Factorsmentioning

confidence: 99%

“…Historically, questionnaires and surveys have been the main tools to capture the influence of contextual factors on driving behaviours [11], [24]- [27]. However, the approaches used in previous studies have the following limitations: 1) They do not include the input of stakeholders during the identification of factors and the design of data collection tools.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving

Mase¹,

Pekaslan²,

Agrawal³

et al. 2022

Preprint

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Commercial driving is a complex multifaceted task influenced by personal traits and external contextual factors, such as weather, traffic, road conditions, etc. Previous intelligent commercial driver-assessment systems do not consider these factors when analysing the impact of driving behaviours on road safety, potentially producing biased, inaccurate, and unfair assessments. In this paper, we introduce a methodology (Expertcentered Driver Assessment) towards a fairer automatic road safety assessment of drivers' behaviours, taking into consideration behaviours as a response to contextual factors. The contextual moderation embedded within the intelligent decisionmaking process is underpinned by expert input, comprising of a range of associated stakeholders in the industry. Guided by the literature and expert input, we identify critical factors affecting driving and develop an interval-valued response-format questionnaire to capture the uncertainty of the influence of factors and variance amongst experts' views. Questionnaire data are modelled and analysed using fuzzy sets, as they provide a suitable computational approach to be incorporated into decisionmaking systems with uncertainty. The methodology has allowed us to identify the factors that need to be considered when moderating driver sensor data, and to effectively capture experts' opinions about the effects of the factors. An example of our methodology using Heavy Goods Vehicles professionals input is provided to demonstrate how the expert-centred moderation can be embedded in intelligent driver assessment systems.

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Section: A Capturing the Effects Of Contextual Factorsmentioning

confidence: 99%

Section: A Capturing the Effects Of Contextual Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving

Mase¹,

Pekaslan²,

Agrawal³

et al. 2022

Preprint

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show abstract

“…[11] However, current research on truck drivers focuses more on the relationship between fatigue and road safety issues (such as crashes and violation). [12] There is limited research investigating what causes fatigue, or how and why risk factors influence fatigue among Australian truck drivers. In this case, this literature review aims to identify the current evidence of risk factors contributing to fatigue for truck drivers.…”

Section: Rationalementioning

confidence: 99%

Factors Associated with Fatigue Among Truck Drivers

Ren¹

2021

Proceedings of the 2021 5th International Seminar on Education, Management and Social Sciences (ISEMSS 2021)

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Fatigue is a significant dominating risk factor for transport workers, especially for long-distance truck drivers. Fatigued driving can easily lead to decreasing the drivers' judgment ability, slow reaction, and an increase of operational errors, and as well as increased probability of road traffic accidents. This study's aim is to identify the current evidence of risk factors contributing to fatigue for truck drivers. A literature search was made in 2021 and included articles back to the last ten years. All the factors can be divided into three aspects: demographics, workrelated and driver-related factors. The results showed that fatigue was closely related to travel-based payment, long shift, long-distance travel, and lack of sleep. However, conflicting results were found in terms of age and smoking. Therefore, more research is needed.

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“…Criteria: Drivers of both sexes, between 25 and 60 yrs old with a valid 5 th category driving license for large trucks and coaches could participate in the study. Drivers must have a minimum of 3 years of continuous and veri able documented work experience as a professional driver in the past 5 years (44). In addition, drivers need to suffer from moderate daily sleepiness as this is documented by a value >9 in Epworth Sleepiness Scale (SSC).…”

Section: Criteria For Participation In Studymentioning

confidence: 99%

Lifestyle Medicine Strategies for Combating Sleepiness and Fatigue in Professional Drivers - The "Highway 2 Health" study

Ntoumas

Karatzaferi

Dardiotis

et al. 2021

Preprint

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Sleep has a number of health benefits, including memory and learning, vitality and energy as well as high quality of life levels. Lack of sleep impairs judgment, impacts longevity and safety, and increases the risk of a number of diseases including obesity, hypertension, heart disease, diabetes, mood disorders, and impaired immune function. In addition lack of sleep or disturbance of normal sleep cycle could have a major impact on people's lives and working performance such as driving. Daily sleepiness is a problem concerning professions with a non-fixed schedule. Specifically, professional long-haul drivers confront sleepiness problems and in combination with fatigue, they are prone to driving accidents and other incidents. Sleep quality and quantity are closed related to fatigue which is one of the most common reasons for driving and working accidents. In recent years, car accidents involving professional drives have increased significantly. The main reasons for those accidents were fatigue and sleepiness due to long hours of driving or difficult working conditions according to the recent European report (Driver Fatigue in European Road Transport - etf-europe.org).Lifestyle Medicine addresses health risk factors in primary, secondary, and tertiary prevention of developing disease rather than on acute care and reacting to illness, injury, and disease. Lifestyle Medicine strategies target modifiable risk factors, such as diet, sleep, stress, and physical activity. By applying those regimes the investigators could improve physical and mental health levels that can affect the quality of sleep, reducing daily sleepiness and fatigue, in professional drivers operating coaches and trucks. Any intervention that could improve alertness and reduce fatigue and sleepiness in those people, will automatically improve safety, reduce driving accidents and save lives and resources.The study is registered on the ClinicalTrials.gov public website (NCT05096130).

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Effects of driver sleepiness and fatigue on violations among truck drivers in India

Cited by 37 publications

References 57 publications

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving

Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving

Factors Associated with Fatigue Among Truck Drivers

Lifestyle Medicine Strategies for Combating Sleepiness and Fatigue in Professional Drivers - The "Highway 2 Health" study

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