Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation

This thesis documents new research into the modelling of driver vision and the integration of a new vision model into a microscopic traffic simulation tool. It is proposed and demonstrated that modelling of driver vision enhances the realism of simulated driver decision-making and behaviour, in turn...

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Bibliographic Details
Main Author: Dumbuya, Abdulai Don
Published: Loughborough University 2003
Subjects:
388
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274998
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spelling ndltd-bl.uk-oai-ethos.bl.uk-2749982018-11-08T03:20:57ZVisual perception modelling for intelligent virtual driver agents in synthetic driving simulationDumbuya, Abdulai Don2003This thesis documents new research into the modelling of driver vision and the integration of a new vision model into a microscopic traffic simulation tool. It is proposed and demonstrated that modelling of driver vision enhances the realism of simulated driver decision-making and behaviour, in turn, leading to improved simulation of driver interactions and traffic flow. Driving and traffic related research has traditionally fallen into the three distinct areas of driver psychology, traffic and highway engineering and vehicle dynamics, with modelling or experimentation in any of these areas supported by significant approximation in the others. In contrast to this, the vision research discussed here has been carried out in a context that aims to integrate all of these areas equally. This has been realised through the implementation of a new modelling environment, Synthetic Driving SIMulation, SD-SIM.388Driver visionLoughborough Universityhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274998https://dspace.lboro.ac.uk/2134/34591Electronic Thesis or Dissertation
collection NDLTD
sources NDLTD
topic 388
Driver vision
spellingShingle 388
Driver vision
Dumbuya, Abdulai Don
Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
description This thesis documents new research into the modelling of driver vision and the integration of a new vision model into a microscopic traffic simulation tool. It is proposed and demonstrated that modelling of driver vision enhances the realism of simulated driver decision-making and behaviour, in turn, leading to improved simulation of driver interactions and traffic flow. Driving and traffic related research has traditionally fallen into the three distinct areas of driver psychology, traffic and highway engineering and vehicle dynamics, with modelling or experimentation in any of these areas supported by significant approximation in the others. In contrast to this, the vision research discussed here has been carried out in a context that aims to integrate all of these areas equally. This has been realised through the implementation of a new modelling environment, Synthetic Driving SIMulation, SD-SIM.
author Dumbuya, Abdulai Don
author_facet Dumbuya, Abdulai Don
author_sort Dumbuya, Abdulai Don
title Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
title_short Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
title_full Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
title_fullStr Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
title_full_unstemmed Visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
title_sort visual perception modelling for intelligent virtual driver agents in synthetic driving simulation
publisher Loughborough University
publishDate 2003
url https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.274998
work_keys_str_mv AT dumbuyaabdulaidon visualperceptionmodellingforintelligentvirtualdriveragentsinsyntheticdrivingsimulation
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