Analysing and modelling train driver performance

Arguments for the importance of contextual factors in understanding human performance have been made extremely persuasive in the context of the process control industries. This paper puts these arguments into the context of the train driving task, drawing on an extensive analysis of driver performance with the Automatic Warning System (AWS). The paper summarises a number of constructs from applied psychological research which are thought to be important in understanding train driver performance. A “Situational Model” is offered as a framework for investigating driver performance. The model emphasises the importance of understanding the state of driver cognition at a specific time (“Now”) in a specific situation and a specific context

Assessing the Human Factor in Truck Driving

Human factors assessment techniques are commonly applied to a variety of workplaces to examine the nature of operations and how key functions are controlled operationally; however, these tools appear to overlook key aspects of truck driving, particularly the driver’s relationship to the driving experience. The fundamental issue is with the ability to completely decompose truck driving and accurately document the truck drivers working environment will be problematic. Therefore, to demonstrate how a truck driver moves between each series of sub-tasks will require a purpose-built assessment tool that that is both practical and relevant to truck driving

A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition

open access articleDetecting and classifying driver distractions is crucial in the prevention of road accidents. These distractions impact both driver behavior and vehicle dynamics. Knowing the degree of driver distraction can aid in accident prevention techniques, including transitioning of control to a level 4 semi- autonomous vehicle, when a high distraction severity level is reached. Thus, enhancement of Advanced Driving Assistance Systems (ADAS) is a critical component in the safety of vehicle drivers and other road users. In this paper, a new methodology is introduced, using an expert knowledge rule system to predict the severity of distraction in a contiguous set of video frames using the Naturalistic Driving American University of Cairo (AUC) Distraction Dataset. A multi-class distraction system comprises the face orientation, drivers’ activities, hands and previous driver distraction, a severity classification model is developed as a discrete dynamic Bayesian (DDB). Furthermore, a Mamdani-based fuzzy system was implemented to detect multi- class of distractions into a severity level of safe, careless or dangerous driving. Thus, if a high level of severity is reached the semi-autonomous vehicle will take control. The result further shows that some instances of driver’s distraction may quickly transition from a careless to dangerous driving in a multi-class distraction context

Applications of the theory of planned behaviour to drivers' speeding behaviour

The theory of planned behaviour (TPB; Ajzen, 1985, 1988, 1991) provides apotentially useful approach for investigating the links between drivers' attitudes andbehaviour and for informing road safety interventions that aim to promote 'safe' driving. This paper presents a review of previous research studies in which the TPBhas been applied to drivers'speeding behaviour. Some conceptual andmethodological limitations of the studies are raised. We then summarise two studiesthat we have recently conducted to overcome these limitations and discuss theimplications for road safety

The "Cognitive Turn": A Short Guide for Nervous Drivers.

In this brief primer on the emergent field of cognitive literary criticism, I aim to offer a tentative outline of its more representative lines of research after roughly twenty to twenty five years of activity. One of my main concerns will be to attend to some of the main objections that the field has been charged with in its short life, and to highlight the ways in which cognitive critics have addressed such objections. After a brief sketch of the main fields of activity, I will consider some of the possible future directions, with a focus on the different ways in which cognitive critics have embraced enactive approach-es to embodied and embedded cognition