A Computational Analysis of Driving Variations in a Distributed Simulated Driving Environment

This Master thesis report is the research conducted at the Linköping University (LiU) in the Cognitive Engineering group. This report describes and discusses the possible driving variations at T-intersections. In this study we tested how voice based command (GPS) system and traffic lights did influe...

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Main Authors: Yasar, Ansar-Ul-Haque, Jameel, Adeel
Format: Others
Language:English
Published: Linköpings universitet, Institutionen för datavetenskap 2007
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10009
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spelling ndltd-UPSALLA1-oai-DiVA.org-liu-100092018-01-14T05:13:37ZA Computational Analysis of Driving Variations in a Distributed Simulated Driving EnvironmentengYasar, Ansar-Ul-HaqueJameel, AdeelLinköpings universitet, Institutionen för datavetenskapLinköpings universitet, Institutionen för datavetenskapInstitutionen för datavetenskap2007SimulatorsDrivingComputational AnalysisDistributedDriving VariationsHuman Computer InteractionMänniska-datorinteraktion (interaktionsdesign)This Master thesis report is the research conducted at the Linköping University (LiU) in the Cognitive Engineering group. This report describes and discusses the possible driving variations at T-intersections. In this study we tested how voice based command (GPS) system and traffic lights did influence the driving behavior. This computational study was conducted on a multi user driving simulation environment at Linköping University. A total of 12 groups each consisting of 4 persons participated in this study. The participants also completed a survey on paper with their valuable comments. To study the driving behavior we analyzed the conflict indicators at the Tintersection. We selected Post Encroachment Time (PET), speed and acceleration as good conflict indicators. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10009application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic Simulators
Driving
Computational Analysis
Distributed
Driving Variations
Human Computer Interaction
Människa-datorinteraktion (interaktionsdesign)
spellingShingle Simulators
Driving
Computational Analysis
Distributed
Driving Variations
Human Computer Interaction
Människa-datorinteraktion (interaktionsdesign)
Yasar, Ansar-Ul-Haque
Jameel, Adeel
A Computational Analysis of Driving Variations in a Distributed Simulated Driving Environment
description This Master thesis report is the research conducted at the Linköping University (LiU) in the Cognitive Engineering group. This report describes and discusses the possible driving variations at T-intersections. In this study we tested how voice based command (GPS) system and traffic lights did influence the driving behavior. This computational study was conducted on a multi user driving simulation environment at Linköping University. A total of 12 groups each consisting of 4 persons participated in this study. The participants also completed a survey on paper with their valuable comments. To study the driving behavior we analyzed the conflict indicators at the Tintersection. We selected Post Encroachment Time (PET), speed and acceleration as good conflict indicators.
author Yasar, Ansar-Ul-Haque
Jameel, Adeel
author_facet Yasar, Ansar-Ul-Haque
Jameel, Adeel
author_sort Yasar, Ansar-Ul-Haque
title A Computational Analysis of Driving Variations in a Distributed Simulated Driving Environment
title_short A Computational Analysis of Driving Variations in a Distributed Simulated Driving Environment
title_full A Computational Analysis of Driving Variations in a Distributed Simulated Driving Environment
title_fullStr A Computational Analysis of Driving Variations in a Distributed Simulated Driving Environment
title_full_unstemmed A Computational Analysis of Driving Variations in a Distributed Simulated Driving Environment
title_sort computational analysis of driving variations in a distributed simulated driving environment
publisher Linköpings universitet, Institutionen för datavetenskap
publishDate 2007
url http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10009
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