Taxonomy of mitigation strategies for driver distraction

Startegies for reducing driver distraction from invehicle. A datadriven methodology statistical analysis and algorithms for online change detection in realtime psychophysiological data predictive engineering in wind energy. The impact of distraction mitigation strategies on driving. These dimensions were considered critical for the development of mitigation strategies because of their potential in. In proceedings of the transportation research board 84 th annual meeting 051740, washington, d. The saveit program serves several important objectives. Addressing driver distraction demands a clear definition and theoretical orientation. Citeseerx document details isaac councill, lee giles, pradeep teregowda. Taxonomy of mitigation strategies for driver distraction. The taxonomy and the definitions provided are intended a to provide a common framework for coding different forms of driver inattention as contributing factors in. Positive valence and medium arousal values have been shown to affect driving in a negative way the least. Within this taxonomy, driver distraction can be considered as one specific mechanism of. This includes improving the quality of data nhtsa collects about distraction related crashes.

These provide the framework to identify, prioritize and implement actions to reduce risk to hazards. Previous studies show that invehicle tasks undermine driver safety and there is a need to mitigate driver distraction. The contract, known as safety vehicles using adaptive interface technology saveit, is designed to mitigate distraction with effective countermeasures and enhance the effectiveness of safety warning systems. In this paper, driver distraction and driver inattention are defined and a taxonomy is presented in which driver distraction is distinguished from other forms of driver inattention. Many definitions of driver distraction have been developed and the following reflects an integration of many of these. Theory, effects, and mitigation by this driver distraction.

Distraction detection and mitigation through driver feedback. An experiment was conducted to assess the effects of distraction mitigation strategies on drivers performance and productivity while engaged in an invehicle information system task. Drivers attitudes toward imperfect distraction mitigation. Jun 16, 2016 this paper provides an overview of the literature on adolescent cellphone use while driving, focusing on the crash risk, incidence, risk factors for engagement, and the effectiveness of current mitigation strategies. The mitigation strategy is made up of three main required components. Studies were conducted to assess driver acceptance of and trust in distraction mitigation strategies. Saveit volpe national transportation systems center. It was delivered during the human factors at the interface session, g19, at the 2008 sae governmentindustry meeting in washington, d. Titles of recent industrial engineering theses and. Risk factors of mobile phone use while driving in queensland. Drivers attitudes toward imperfect distraction mitigation strategies. Previous studies have shown that invehicle tasks undermine driver safety, and that there is a need for strategies to reduce the effects of invehicle distractions.

These dimensions include the degree of automation of the mitigation strategy, the type of initiation, and the type of task being modulated by the. This study focuses on detecting the driver cognitive distraction state based on driving performance measures. These dimensions were considered critical for the development of mitigation strategies because of their potential influence on drivers responses and attitudes. Supporting operator reliance on automation through continuous feedback risk optimization with porder conic constraints wind turbine vibration study. Pdf the impact of distraction mitigation strategies on driving. The majority of factors fell into the driver cursory attention category, with a large representation also in the misprioritised and neglected attention categories and instances of diverted attention were mainly drivingrelated. Preventing, and managing driver distraction it is estimated that up to 23 percent of crashes and nearcrashes are caused by driver distraction, and these figures will likely increase as more and more distractions, both inside and outside the vehicle, compete for driver attention.

It also brings together the wide array of literature on the topic into one. Some countermeasures and suggestions were proposed in the design of public education campaigns and driver mobile phone interaction. Theory, effects, and mitigation gives a comprehensive. Citeseerx citation query visual demand of driving and. Designing feedback to mitigate distraction a 3d taxonomy has previously been proposed to define different distraction mitigation strategies that focus on enhancing immediate driving performance. Mitigation strategies for the top 10 causes of project failure content author. A good summary of historical taxonomies is provided by regan et al. In proceedings of the human factors and ergonomics society 47th annual meeting pp.

However there has not been a clear definition or categorization of these strategies. Citeseerx proceedings of the human factors and ergonomics. This presentation provides a summary of the results of the saveit program. It also outlines strategies for distraction detection and mitigation, as well as the sensor requirements associated with those strategies. Approaches to mitigation mitigation is a cognitive but also a linguistic and a social phenomenon.

Systemofsystems influences on acquisition strategy development. Trust and acceptance of such strategies strongly influence their effectiveness. Driver cognitive distraction detection using driving. An experiment was conducted to assess the effects of distraction mitigation strategies on drivers. Focus groups were conducted to help refine this taxonomy and explore driver. The impact of distraction mitigation strategies on driving performance. Development of standard measures and criteria for the assessment of the. Such invehicle systems often require the drivers visual attention, but visual workload has shown significant less eyesontheroad time and affects driving performance. A practical resource for understanding, preventing, and managing driver distraction it is estimated that up to 23 percent of crashes and nearcrashes are caused by driver distraction, and these figures will likely increase as more and more distractions, both inside and outside the vehicle, compete for driver attention. Taxonomy of driver distraction mitigation strategies. Car drivers are nowadays offered a wide array of invehicle systems i. In this paper, we provide a revised and expanded taxonomy of driver distraction mitigation strategies, discuss how the. Regan, hallett and gordon 2011 proposed a taxonomy of driver inattention in which driver distraction is conceptualized as just one of several factors that may give rise to driver inattention. Driver distraction is a diversion of attention away from activities critical for safe driving towards a competing activity.

Lee, taxonomy of mitigation strategies for driver distraction, in proceedings of the 47th annual meeting on human factors and ergonomics society, pp. Executive summary the objective of this project were to. The driver should be able to keep at least one hand on the steering wheel while performing a secondary task both drivingrelated and nondriving related 3. Many years of research have gone into studying driver distraction but difficulties arise when trying to. An advising strategy that alerts drivers to potential dangers.

This paper, therefore, proposes a taxonomy of mitigation strategies for driver distraction and relates the strategies to accumulated research in the areas of automation and adaptive. Risk factors for driver distraction and inattention in tram. Nov 23, 2014 the purpose of the research study was to determine whether adhd and textingrelated driving impairments are mediated by extended visual glances away from the roadway. Introduction telematics devices are becoming increasingly popular in vehicles and their functionality is expanding. Because invehicle technology to reduce driver distraction is a form of automation, different levels of automation guide the effectiveness and acceptance of the strategies. Susceptibility to driver distraction questionnaire. This paper, therefore, proposes a taxonomy of mitigation strategies for driver distraction and relates the strategies to accumulated research in the areas of automation and adaptive aiding to define important design tradeoffs with each strategy. The model distinguishes between two distinct levels of behavior.

Acquisition planning must acknowledge a variety of risks and their impact on acquisition strategy elements. Development of a driver distraction taxonomy understanding the human cognitive process as it relates to driving, distraction and safety 8. Risk factors for driver distraction and inattention in. Mitigation strategies provided by such systems are mostly taskoriented and can provide. The drivers eyes should usually be looking at the road ahead 2. At the human factors and statistical modeling lab, we conduct research on understanding operators behavior as they interact with complex systems, and the impact on safety. Driver state taxonomy based on russels circumplex arousalvalence model 18 and the yerkesdodson law 19. Failsafe test generation in safety critical systems. Taxonomy of mitigation strategies for driver distraction b donmez, l boyle, jd lee proceedings of the human factors and ergonomics society annual meeting 47, 2003.

Visual demand of driving and the execution of display. Driver acceptance of distraction mitigation strategies. Strategies for reducing driver distraction from invehicle telematics devices. The distraction induced by any secondary task performed while driving should not exceed that associated with a. Data were coded thematically using a recently published taxonomy for driver distraction and inattention.

We then proceed with an integrating description of mitigation theory, analysis of data, and a conclusion. Improve the understanding of the extent and nature of the distraction problem. Nhtsa driver distraction expert working group meetings. Keynote presentation at the network of employers for traffic safety, charlottsville, va october 11, 2017. While these technologies have great potential to assist drivers. Detecting distraction and degraded driver performance with. Characteristic parameters could be directly extracted. A 3d taxonomy has previously been proposed to define different distraction mitigation strategies that focus on enhancing immediate driving performance. This paper, therefore, proposes a taxonomy of mitigation strategies for driver distraction and relates the strategies to accumulated research in the. Driver cognitive distraction is a hazard state, which can easily lead to traffic accidents. The majority of factors fell into the driver cursory attention category, with a large representation also in the misprioritised and neglected attention categories. Mitigation goals are general guidelines that explain what the community wants to achieve with the.

John patton, sirius project management services manager wise investment in key projects is now more important than ever. Theory, effects, and mitigation gives a comprehensive overview of this issue, outlining the underlying theory of distraction, its effects on driving performance and safety, strategies for mitigating its effects, and directions for future research. A datamining approach application of computational intelligence in modeling. Development of a commonly accepted theoretical framework of driver attention suitable for addressing driver distraction 9. Different strategies intended to reduce distraction were categorized in a taxonomy. Enforcement of mobile phone distraction should be reengineered, as the use of taskmanagement strategies to evade police enforcement seems to dilute its effect on the prevention of this behaviour.

Human factors and statistical modeling lab university of. Future development of distraction mitigation systems should focus on. A taxonomy of driver distraction mitigation strategies was developed based on three dimensions. The science behind cognitive distraction and its impact on driver distraction. Saveit reports and articles volpe national transportation. Theory, effects, and mitigation book is not really ordinary book, you have it then the world is in your hands. Improving driver emotions with affective strategies.