Modelling and simulation of realistic pedestrian behaviours
Pedestrian simulation provides interesting challenges in the area of 3D visualization, computer animations, behaviourial modelling and real-time crowd simulation. With increasing computing power, many researchers are now proposing autonomous agent representation and behaviourial models that more clo...
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sg-ntu-dr.10356-149612023-03-04T00:40:09Z Modelling and simulation of realistic pedestrian behaviours Koh, Wee Lit Zhou Suiping School of Computer Engineering Parallel and Distributed Computing Centre DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences Pedestrian simulation provides interesting challenges in the area of 3D visualization, computer animations, behaviourial modelling and real-time crowd simulation. With increasing computing power, many researchers are now proposing autonomous agent representation and behaviourial models that more closely reflect the behaviours of real-humans. Following this trend, an accurate representation of an autonomous agent that has human-like sensory inputs and attention systems has been developed in this research. Another important consideration in this research is to balance between the accuracy of a pedestrian representation and the computational costs of using such a representation. A pedestrian simulation is primarily concerned with the generation of realistic navigation behaviours for autonomous agents. To address this challenge, a two-tier navigation model for path-planning and reactive planning in a complex and dynamic environment has been proposed to more accurately model the navigation behaviours of a pedestrian. First, a macro-level navigation model is developed to mimic the way pedestrians plan their route to reach a particular destination in the environment. Secondly, a micro-level navigation model is developed to steer the agent away from collision with structural obstacles and other agents. In addition, the micro-level navigation model ensures that the agent stays on course according to the rough path computed by the macro-level navigation model. The proposed navigation model is able to combine the different navigation considerations of a pedestrian in the form of steering constraints on the micro-level navigation model and heuristics for the macro-level navigation model. Moreover, the navigation model is computationally efficient in that it is able to compute hundreds of agent movements in a fraction of a second. DOCTOR OF PHILOSOPHY (SCE) 2009-03-16T03:33:03Z 2009-03-16T03:33:03Z 2008 2008 Thesis Koh, W. L. (2008). Modelling and simulation of realistic pedestrian behaviours. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/14961 10.32657/10356/14961 en 242 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences Koh, Wee Lit Modelling and simulation of realistic pedestrian behaviours |
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Pedestrian simulation provides interesting challenges in the area of 3D visualization, computer animations, behaviourial modelling and real-time crowd simulation. With increasing computing power, many researchers are now proposing autonomous agent representation and behaviourial models that more closely reflect the behaviours of real-humans. Following this trend, an accurate representation of an autonomous agent that has human-like sensory inputs and attention systems has been developed in this research. Another important consideration in this research is to balance between the accuracy of a pedestrian representation and the computational costs of using such a representation. A pedestrian simulation is primarily concerned with the generation of realistic navigation behaviours for autonomous agents. To address this challenge, a two-tier navigation model for path-planning and reactive planning in a complex and dynamic environment has been proposed to more accurately model the navigation behaviours of a pedestrian. First, a macro-level navigation model is developed to mimic the way pedestrians plan their route to reach a particular destination in the environment. Secondly, a micro-level navigation model is developed to steer the agent away from collision with structural obstacles and other agents. In addition, the micro-level navigation model ensures that the agent stays on course according to the rough path computed by the macro-level navigation model. The proposed navigation model is able to combine the different navigation considerations of a pedestrian in the form of steering constraints on the micro-level navigation model and heuristics for the macro-level navigation model. Moreover, the navigation model is computationally efficient in that it is able to compute hundreds of agent movements in a fraction of a second. |
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Zhou Suiping |
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Zhou Suiping Koh, Wee Lit |
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Theses and Dissertations |
author |
Koh, Wee Lit |
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Koh, Wee Lit |
title |
Modelling and simulation of realistic pedestrian behaviours |
title_short |
Modelling and simulation of realistic pedestrian behaviours |
title_full |
Modelling and simulation of realistic pedestrian behaviours |
title_fullStr |
Modelling and simulation of realistic pedestrian behaviours |
title_full_unstemmed |
Modelling and simulation of realistic pedestrian behaviours |
title_sort |
modelling and simulation of realistic pedestrian behaviours |
publishDate |
2009 |
url |
https://hdl.handle.net/10356/14961 |
_version_ |
1759853663405211648 |