Curve Negotiation: Identifying Driver Behavior Around Curves with the Driver Performance Database

This pilot study tackles the overarching need for driver-state detection through real-world measurements of driver behavior and physiology in at-risk drivers with type 1 diabetes mellitus (DM). 35 drivers (19 DM, 14 comparison) participated. Real-time glucose levels were measured over four weeks with continuous glucose monitor (CGM) wearable sensors. Contemporaneous real-world driving performance and behavior were measured with in-vehicle video and electronic sensor instrumentation packages. Results showed clear links between at-risk glucose levels (particularly hypoglycemia) and changes in driver performance and behavior. DM participants often drove during at-risk glucose levels (low and high) and showed cognitive impairments in key domains for driving, which are likely linked to frequent hypoglycemia. The finding of increased driving risk in DM participants was mirrored in state records of crashes and traffic citations. Combining sensor data and phenotypes of driver behavior can inform patients, caregivers, safety interventions, policy, and design of supportive in-vehicle technology that is responsive to driver state.

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A new framework for the computer modelling and simulation of car driver behavior

SIMULATION ◽

10.1177/0037549717748747 ◽

2018 ◽

Vol 94 (12) ◽

pp. 1081-1097 ◽

Cited By ~ 1

Author(s):

Sabeur Elkosantini ◽

Saber Darmoul

Keyword(s):

Psychological Factors ◽

Computer Modelling ◽

Driver Behavior ◽

Suggested Model ◽

Physiological Factors ◽

Behavior Simulation ◽

Psychological Theories ◽

Driver Performance ◽

Simulation Based ◽

New Framework

In recent years, the simulation of personal car driver behavior has attracted increasing attention in recent research works. Such works are based on models and systems derived from social and psychological studies. The complexity of the simulation of such systems is due to the need for modeling driver behavior and the integration of psychological and physiological factors that can affect driver performance. Although there is only a limited number of models that have been proposed to simulate driver behavior, most of them suffer from limitations pertaining to the integration of some factors, an inadequacy that will be discussed in this paper. This investigation work focuses on the development of a new model for driver behavior simulation based on recent physiological and psychological theories. The model aims to reproduce the driver behavior with respect to some psychological factors. An experimental framework is also presented to build the simulation model. This article concludes by describing some examples of use or application of the suggested model.

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The Potential Value of a Front-to-Rear-End Collision Warning System Based on Factors of Driver Behavior, Visual Perception and Brake Reaction Time

Proceedings of the Human Factors Society Annual Meeting ◽

10.1177/154193129203601318 ◽

1992 ◽

Vol 36 (13) ◽

pp. 1003-1005 ◽

Cited By ~ 8

Author(s):

Daniel V. McGehee ◽

Thomas A. Dingus ◽

Avraham D. Horowitz

Keyword(s):

Reaction Time ◽

Visual Perception ◽

Motor Vehicle ◽

Driver Behavior ◽

Warning System ◽

Comfort Level ◽

Collision Warning ◽

Potential Value ◽

Driver Performance ◽

Performance Issues

The potential value of a front-to-rear-end collision warning system based on factors of driver behavior, visual perception and brake reaction time is examined in this paper. Twenty-four percent of all motor vehicle crashes involving two or more vehicles are front-to-rear-end collisions. These collisions demonstrate that several driver performance factors are common. The literature indicates that drivers use the relative size and the visual angle of the vehicle ahead when making judgments regarding depth. In addition, drivers often have difficulty gauging velocity differences and depth cues between themselves and the vehicle they are following. Finally, drivers often follow at distances that are closer than brake-reaction time permits for accident avoidance. It is apparent that the comfort level of close following behavior increases over time due to the rarity of consequences. Experience also teaches drivers that the vehicle in front does not suddenly slow down very often. On the basis of these driver behavior and human performance issues, a front-to-rear-end collision warning system that provides headway/following distance and velocity change information is considered. Based on the driver performance issues, display design recommendations are outlined. The value of such a device may be demonstrated by the added driver safety and situation awareness provided. The long-term goal would ultimately be the reduction of one of the most frequent type of automobile crashes.

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Predicting Driver Behavior using Advanced Traveler Information Systems

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/154193129403801614 ◽

1994 ◽

Vol 38 (16) ◽

pp. 1057-1061

Author(s):

William A. Wheeler ◽

John D. Lee ◽

Mireille Raby ◽

Rhonda A. Kinghorn ◽

Alvah C. Bittner ◽

...

Keyword(s):

Information Systems ◽

System Design ◽

Driver Behavior ◽

Intelligent Vehicle ◽

Navigation Systems ◽

Advanced Traveler Information Systems ◽

Traveler Information ◽

Traveler Information Systems ◽

Driver Performance ◽

Highway System

As a part of the Intelligent Vehicle Highway System (IVHS), Advanced Traveler Information Systems (ATIS) will offer tomorrow's drivers significantly expanded capabilities for getting where they want to go safely and efficiently. Vehicle-based navigation systems combined with information on highway conditions and services have the potential for improving driver performance. Though ATIS may offer considerable advantages, the system design must be consistent with the primary tasks of controlling and operating the vehicle. This paper describes an attempt to identify the likely interaction between what a driver must do to operate the vehicle safely while at the same time using the various ATIS systems. As such, it is an attempt to visualize what driving with these advanced systems will be like and to translate that vision into standard human factors task analytic techniques. Though a broad range of ATIS systems and functions were addressed in this project, this paper will address the macro-level task analyses that resulted from the examination of 165 tasks related to ATIS use.

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Developing an Unreal Engine 4-Based Vehicle Driving Simulator Applicable in Driver Behavior Analysis—A Technical Perspective

Safety ◽

10.3390/safety7020025 ◽

2021 ◽

Vol 7 (2) ◽

pp. 25

Author(s):

David Michalík ◽

Miroslav Jirgl ◽

Jakub Arm ◽

Petr Fiedler

Keyword(s):

Driving Simulator ◽

Driver Behavior ◽

Measured Data ◽

Vehicle Safety ◽

Control Performance ◽

Driver Performance ◽

Major Interest ◽

Assistance Systems ◽

Vehicle Driving Simulator ◽

High Level

Vehicle safety remains a topic of major interest, and diverse assistance systems are implemented that focus primarily on analyzing the immediate vicinity of the car and the driver’s control inputs. In this paper, by contrast, we emphasize understanding the driver’s control performance via obtaining valuable data and relevant characteristics. To acquire the data, we employed an in-house-designed, laboratory-built vehicle driving simulator. This simulator exploits the Unreal Engine 4 framework to deliver a high level of realism. The fact that the actual designing and associated processes were materialized through our own efforts has brought advantages such as simplified data acquisition, possibility of creating custom scenarios, and modification of the virtual elements according to our specific needs. We also developed an application to analyze the measured data from the perspective of control theory, establishing a set of parameters that provided the basis for an early version of a driver performance index indicator.

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Model for Situation Awareness and Driving: Application to Analysis and Research for Intelligent Transportation Systems

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1779-04 ◽

2001 ◽

Vol 1779 (1) ◽

pp. 26-32 ◽

Cited By ~ 54

Author(s):

Michael L. Matthews ◽

David J. Bryant ◽

Robert D. G. Webb ◽

Joanne L. Harbluk

Keyword(s):

Situation Awareness ◽

Intelligent Transportation Systems ◽

Nuclear Power ◽

Driver Behavior ◽

Intelligent Transportation ◽

Transportation Systems ◽

Nuclear Power Generation ◽

Strategic Decisions ◽

Driver Performance ◽

Underlying Processes

The concept of situation awareness (SA)—applied broadly over the last decade to human factors issues in aviation, nuclear power generation, and military combat systems—has only recently been introduced to the analysis of driver behavior. In a driving context, SA involves spatial, temporal, goal, and system awareness. These aspects of SA have been integrated into a goal-oriented model of driver behavior that encompasses strategic, tactical, and operational goals of driving. Maintenance of appropriate SA for each type of goal is based on three underlying processes: perception, comprehension of disparate information, and projection and prediction. The model can be used as a basis for understanding the possible impact of new generations of intelligent transportation systems (ITSs) on driver performance. The model allows ITSs to be analyzed for how they are likely to enhance or impair a driver’s performance in pursuit of each type of driving goal. The model may provide a way to determine how an ITS supports or interferes with the required SA to meet a driving goal (e.g., an onboard navigation system that assists strategic decisions).

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