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Journal ArticleDOI

Driver models in automobile dynamics application

TLDR
An overview of driver models is given with respect to their application and different methodical modelling approaches and a brief look beyond is added to better complete the view on the involved task of driving and driver modelling for automobile dynamics application.
Abstract
Understanding the driver of an automobile has been attractive to researchers from many different disciplines for more than half a century. On the basis of their acquirements, models of the (human) driver have been developed to better understand, analyse and improve the combined couple of driver and automobile. Due to distinctive demands on the models in accordance with different kinds of applications, a variety of driver models is available. An overview of driver models is given with respect to their application and different methodical modelling approaches. The emphasis is put on the interest of engineers, who generally focus on the automobile (like design and optimization of vehicle components and the overall vehicle dynamics behaviour) by applying their approved (mathematical) methods. Nonetheless, a brief look beyond is added to better complete the view on the involved task of driving and driver modelling for automobile dynamics application.

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Citations
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Journal ArticleDOI

Cognitive Cars: A New Frontier for ADAS Research

TL;DR: This paper provides a survey of recent works on cognitive cars with a focus on driver-oriented intelligent vehicle motion control and discusses how to combine the two directions into a single integrated system to obtain safety and comfort while driving.
Journal ArticleDOI

Driving Style Analysis Using Data Mining Techniques

TL;DR: This paper investigates the modeling of the personal driving style of various vehicle drivers based on several driving parameters to classify the drivers according to their risk-proneness within the larger context of increasing traffic safety, which is a major concern worldwide.
Journal ArticleDOI

Toward Computational Simulations of Behavior During Automated Driving Takeovers: A Review of the Empirical and Modeling Literatures.

TL;DR: Time budget, repeated exposure to takeovers, silent failures, and handheld secondary tasks significantly influence takeover time and post-takeover control and models that capture these effects through evidence accumulation were identified as promising directions for future work.
Proceedings ArticleDOI

Tactical driver behavior prediction and intent inference: A review

TL;DR: This paper review the field of driver behavior and intent prediction, with a specific focus on tactical maneuvers, as opposed to operational or strategic maneuvers, to provide insights into the scope of the problem.
Journal ArticleDOI

A Comprehensive Survey of Driving Monitoring and Assistance Systems.

TL;DR: A comprehensive survey of the literature related to driving processes, the main reasons for road accidents, the methods of their early detection, and state-of-the-art strategies developed to assist drivers for a safe and comfortable driving experience is presented.
References
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Book

Engineering Psychology and Human Performance

TL;DR: In this article, the authors introduce engineering psychology and human performance, and present an overview of the major aspects of engineering psychology, including: Signal Detection, Information Theory and Absolute Judgment, Attention in Perception and Display Space, Spatial Displays, Memory and Training 8. Decision Making 9. Selection of Action 10. Attention, Time sharing and Workload 11. Mental Workload, Stress, and Individual Differences: Cognitive and Neuroergonomic Perspectives 12. Automation 13. Epilogue
Journal ArticleDOI

Forward models for physiological motor control

TL;DR: The uses of such internal models for solving several fundamental computational problems in motor control are outlined and the evidence for their existence and use by the central nervous system is reviewed.
Journal ArticleDOI

A behavioural car-following model for computer simulation

TL;DR: A new model is constructed for the response of the following vehicle based on the assumption that each driver sets limits to his desired braking and acceleration rates and it is shown that when realistic values are assigned to the parameters in a simulation, the model reproduces the characteristics of real traffic flow.
Journal ArticleDOI

Nonlinear Follow-the-Leader Models of Traffic Flow

TL;DR: A variety of nonlinear follow-the-leader models of traffic flow are discussed in this article in the light of available observational and experimental data, with emphasis placed on steady-state flow equations.
Journal ArticleDOI

Traffic Dynamics: Studies in Car Following

TL;DR: In this paper, the acceleration at time t of a car attempting to follow a leader is proportional to the difference in velocity of the two cars at a time t-Δ, Δ being about 1.5 sec and the proportionality constant being about 0.37 sec-1.