scholarly journals Driver behaviour models for a driving simulator-based intelligent speed adaptation system

2009 ◽  
Author(s):  
S. A. Arhin ◽  
A. Eskandarian
Keyword(s):  
Driving Simulator ◽  
Driver Behaviour ◽  
Behaviour Models ◽  
Intelligent Speed Adaptation

scholarly journals Report on validation of the stochastic traffic simulation (Part A)

2021 ◽  
Author(s):  
Madlen Ringhand ◽  
◽  
Maximilian Bäumler ◽  
Christian Siebke ◽  
Marcus Mai ◽  
...  
Keyword(s):  
Urban Areas ◽  
Human Subject ◽  
Driving Simulator ◽  
Traffic Simulation ◽  
Relevant Literature ◽  
Driver Behaviour ◽  
Automotive Engineering ◽  
Driving Behaviour ◽  
Simulator Study ◽  
Behaviour Models

This document is intended to give an overview of the human subject study in a driving simulator that was conducted by the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD) to provide the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD with the necessary input for the validation of a stochastic traffic simulation, especially for the parameterization, consolidation, and validation of driver behaviour models. VPSY planned, conducted, and analysed a driving simulator study. The main purpose of the study was to analyse driving behaviour and gaze data at intersections in urban areas. Based on relevant literature, a simulated driving environment was created, in which a sample of drivers passed a variety of intersections. Considering different driver states, driving tasks, and traffic situations, the collected data provide detailed information about human gaze and driving behaviour when approaching and crossing intersections. The collected data was transferred to LKT for the development of the stochastic traffic simulation.

scholarly journals AN EVALUATION OF AIRPORT WAYFINDING AND SIGNAGE ON SENIOR DRIVER BEHAVIOUR AND SAFETY OF AIRPORT ROAD ACCESS DESIGN

2017 ◽  
Vol 8 (1) ◽  
pp. 108-129
Author(s):  
Nur Khairiel Anuar ◽  
Romano Pagliari ◽  
Richard Moxon
Keyword(s):  
Road Safety ◽  
Driving Simulator ◽  
Age Groups ◽  
Driver Behaviour ◽  
Driving Behaviour ◽  
Road Design ◽  
Driver Performance ◽  
Study Participants ◽  
The Impact ◽  
Car Driving

The purpose of this study was to investigate the impact of different wayfinding provision on senior driving behaviour and road safety. A car driving simulator was used to model scenarios of differing wayfinding complexity and road design. Three scenario types were designed consisting of 3.8 miles of airport road. Wayfinding complexity varied due to differing levels of road-side furniture. Experienced car drivers were asked to drive simulated routes. Forty drivers in the age ranges: 50 to 54, 55 to 59 and those aged over 60 were selected to perform the study. Participants drove for approximately 20 minutes to complete the simulated driving. The driver performance was compared between age groups. Results were analysed by Mean, Standard Deviation and ANOVA Test, and discussed with reference to the use of the driving simulator. The ANOVA confirmed that age group has a correlation between road design complexity, driving behaviour and driving errors.

A Driver's Mind

2019 ◽  
pp. 429-454
Author(s):  
Marco Lützenberger
Keyword(s):  
Point Of View ◽  
Human Behaviour ◽  
Infrastructure Management ◽  
Driver Behaviour ◽  
Human Driver ◽  
Psychological Point ◽  
Factors Of Influence ◽  
Traffic Systems ◽  
Behaviour Models ◽  
Traffic Simulations

Over the last decade, traffic simulation frameworks have advanced into an indispensible tool for traffic planning and infrastructure management. For these simulations, sophisticated models are used to “mimic” traffic systems in a lifelike fashion. In most cases, these models focus on a rather technical scope. Human factors, such as drivers' behaviours are either neglected or “estimated” without any proven connection to reality. This chapter presents an analysis of psychological driver models in order to establish such a connection. In order to do so, human driver behaviour is introduced from a psychological point of view, and state-of-the-art conceptualisations are analysed to identify factors that determine human traffic behaviour. These factors are explained in more detail, and their appliances in human behaviour models for traffic simulations are discussed. This chapter does not provide a comprehensive mapping from simulation requirements to particular characteristics of human driver behaviour but clarifies the assembly of human traffic behaviour, identifies relevant factors of influence, and thus, serves as a guideline for the development of human behaviour models for traffic simulations.

In-Vehicle Avatars to Elicit Social Response and Change Driving Behaviour

2011 ◽  
pp. 343-366
Author(s):  
Andry Rakotonirainy ◽  
Frank Feller ◽  
Narelle Haworth
Keyword(s):  
Decision Making ◽  
Driving Simulator ◽  
Eye Gaze ◽  
Personal Characteristics ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Driver Behaviour ◽  
Social Responses ◽  
Mutual Awareness ◽  
The Right

Social and psychological theories have provided a plethora of evidence showing that the physical difficulty to express appropriate social interactions between drivers expresses itself in aggression, selfish driving and anti-social behaviour. Therefore there is a need to improve interactions between drivers and allow clearer collective decision making between them. Personal characteristics and the driving situations play strong roles in driver’s aggression. Our approach is centered around the driving situation as opposed to focusing on personality characteristics. It examines aggression and manipulates contextual variables such as driver’s eye contact exchanges. This paper presents a new unobtrusive in-vehicle system that aims at communicating drivers’ intentions, elicit social responses and increasing mutual awareness. It uses eye gaze as a social cue to affect collective decision making with the view to contribute to safe driving. The authors used a driving simulator to design a case control experiment in which eye gaze movements are conveyed with an avatar. Participants were asked to drive through different types of intersections. An avatar representing the head of the other driver was displayed and driver behaviour was analysed. Significant eye gaze pattern difference where observed when an avatar was displayed. Drivers cautiously refer to the avatar when information is required on the intention of others (e.g. when they do not have the right of way). The majority of participants reported the perception of “being looked at”. The number of glances and time spent gazing at the avatar did not indicate an unsafe distraction by standards of in-vehicle device ergonomic design. Avatars were visually consulted primarily in less demanding driving situations, which underlines their non-distractive nature.

In-Vehicle Avatars to Elicit Social Response and Change Driving Behaviour

2009 ◽  
Vol 5 (4) ◽  
pp. 80-104 ◽  
Author(s):  
Andry Rakotonirainy ◽  
Frank Feller ◽  
Narelle Haworth
Keyword(s):  
Decision Making ◽  
Driving Simulator ◽  
Eye Gaze ◽  
Personal Characteristics ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Driver Behaviour ◽  
Safe Driving ◽  
Mutual Awareness ◽  
The Right

Social and psychological theories have provided a plethora of evidence showing that the physical difficulty to express appropriate social interactions between drivers expresses itself in aggression, selfish driving and anti-social behaviour. Therefore there is a need to improve interactions between drivers and allow clearer collective decision making between them. Personal characteristics and the driving situations play strong roles in driver’s aggression. Our approach is centered around the driving situation as opposed to focusing on personality characteristics. It examines aggression and manipulates contextual variables such as driver’s eye contact exchanges. This paper presents a new unobtrusive in-vehicle system that aims at communicating drivers’ intentions, elicit social responses and increasing mutual awareness. It uses eye gaze as a social cue to affect collective decision making with the view to contribute to safe driving. The authors used a driving simulator to design a case control experiment in which eye gaze movements are conveyed with an avatar. Participants were asked to drive through different types of intersections. An avatar representing the head of the other driver was displayed and driver behaviour was analysed. Significant eye gaze pattern difference where observed when an avatar was displayed. Drivers cautiously refer to the avatar when information is required on the intention of others (e.g. when they do not have the right of way). The majority of participants reported the perception of “being looked at”. The number of glances and time spent gazing at the avatar did not indicate an unsafe distraction by standards of in-vehicle device ergonomic design. Avatars were visually consulted primarily in less demanding driving situations, which underlines their non-distractive nature.

Behavioural Research in an Advanced Driving Simulator - Experiences of the VTI System -

1993 ◽  
Vol 37 (9) ◽  
pp. 612-616 ◽  
Author(s):  
Lena Nilsson
Keyword(s):  
Mobile Phone ◽  
Motion Sickness ◽  
Driving Simulator ◽  
Extensive Literature ◽  
Driver Behaviour ◽  
Behavioural Research ◽  
Methodological Aspects

The VTI driving simulator is described briefly, and aspects such as controllability, realism, validity, and motion sickness are discussed. The experience of using a simulator is accounted for. As an example, a study of mobile phone effects on driver behaviour is reported, focusing on methodological aspects. The paper ends with an extensive literature list containing behavioural studies performed in the simulator.

Effects of Human–Machine Interface Design for Intelligent Speed Adaptation on Driving Behavior and Acceptance

2005 ◽  
Vol 1937 (1) ◽  
pp. 79-86
Author(s):  
Arno M. Rook ◽  
Jeroen H. Hogema
Keyword(s):  
Interface Design ◽  
Driving Simulator ◽  
Driving Behavior ◽  
Human Machine Interface ◽  
Speed Limit ◽  
Compensatory Behavior ◽  
Driving Speed ◽  
Moving Base ◽  
Machine Interface ◽  
Intelligent Speed Adaptation

The effects of human–machine interface (HMI) design for intelligent speed adaptation (ISA) on driving behavior and acceptance were measured in a moving-base research driving simulator. Sixty-four experienced drivers participated in two simulator experiments (32 in each). During the simulated runs with ISA, the speed limit was communicated through the ISA system. The ISA system consisted of an indication of the speed limit on the speedometer and a gas pedal that could be used either as a haptic or tactile pedal or as a dead throttle. Two versions of the haptic gas pedal were examined in Experiment I: a low-force ISA (easy to overrule, informative in nature) and a high-force ISA (stronger counterforce, more compulsory in nature). Two other configurations were tested in Experiment II: a tactile pedal (a vibration on the gas pedal, informative in nature) and a dead throttle (completely restraining the driver from exceeding the speed limit). It was hypothesized that the closer the ISA is to an informative type, the higher the acceptance and the smaller the effects on driving behavior would be. This hypothesis appeared to be valid, although for both driving behavior and acceptance, not all four HMIs could be ranked unambiguously on the scale from no ISA to full ISA. In sharp curves, drivers appeared to choose a driving speed below the speed limit, irrespective of ISA. The specific road environment scenarios that were inserted to examine presupposed compensatory behavior for experienced delay indicated no signs of compensatory driving behavior.

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