Realistic navigational behavior for pedestrians (part II)

It is a challenge to simulate realistic navigational behavior for pedestrians. Over the years, much research has been done in the area of pedestrian movement simulation. However, most of these models failed to include the psychological factors in humans. This is definitely necessary in order to make...

Full description

Saved in:
Bibliographic Details
Main Author: Cho, Benjamin Eng Keong.
Other Authors: Zhou Suiping
Format: Final Year Project
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/39718
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-39718
record_format dspace
spelling sg-ntu-dr.10356-397182023-03-03T20:39:49Z Realistic navigational behavior for pedestrians (part II) Cho, Benjamin Eng Keong. Zhou Suiping School of Computer Engineering Parallel and Distributed Computing Centre DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling It is a challenge to simulate realistic navigational behavior for pedestrians. Over the years, much research has been done in the area of pedestrian movement simulation. However, most of these models failed to include the psychological factors in humans. This is definitely necessary in order to make the pedestrians move more realistically. This report discusses on how we implement an agent-based pedestrian simulation model with the integration of psychological factors. Some of these factors are the pedestrian’s personality, urgency and personal space. In our system design, the pedestrian possesses vision and prediction to assess the spatial information. With this information, the pedestrian would then make decisions on what navigational path to take, and adopt appropriate actions. Additionally, cognitive capabilities of pedestrians, such as attention range and working memory, have been included in our system design. All these features help to make the simulation model appear more realistic. Through the results of the simulations, it is proven that our system design is effective in demonstrating realistic navigational behavior for pedestrians. This simulation effectively shows some basic navigational behavior (following, overtaking, and avoiding) for various agent types under different scenarios. It clearly demonstrates how different people react given the same scenario. The simulation results are promising and worth considering for future work. Bachelor of Engineering (Computer Engineering) 2010-06-03T05:52:04Z 2010-06-03T05:52:04Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/39718 en Nanyang Technological University 54 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
spellingShingle DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences
DRNTU::Engineering::Computer science and engineering::Computing methodologies::Simulation and modeling
Cho, Benjamin Eng Keong.
Realistic navigational behavior for pedestrians (part II)
description It is a challenge to simulate realistic navigational behavior for pedestrians. Over the years, much research has been done in the area of pedestrian movement simulation. However, most of these models failed to include the psychological factors in humans. This is definitely necessary in order to make the pedestrians move more realistically. This report discusses on how we implement an agent-based pedestrian simulation model with the integration of psychological factors. Some of these factors are the pedestrian’s personality, urgency and personal space. In our system design, the pedestrian possesses vision and prediction to assess the spatial information. With this information, the pedestrian would then make decisions on what navigational path to take, and adopt appropriate actions. Additionally, cognitive capabilities of pedestrians, such as attention range and working memory, have been included in our system design. All these features help to make the simulation model appear more realistic. Through the results of the simulations, it is proven that our system design is effective in demonstrating realistic navigational behavior for pedestrians. This simulation effectively shows some basic navigational behavior (following, overtaking, and avoiding) for various agent types under different scenarios. It clearly demonstrates how different people react given the same scenario. The simulation results are promising and worth considering for future work.
author2 Zhou Suiping
author_facet Zhou Suiping
Cho, Benjamin Eng Keong.
format Final Year Project
author Cho, Benjamin Eng Keong.
author_sort Cho, Benjamin Eng Keong.
title Realistic navigational behavior for pedestrians (part II)
title_short Realistic navigational behavior for pedestrians (part II)
title_full Realistic navigational behavior for pedestrians (part II)
title_fullStr Realistic navigational behavior for pedestrians (part II)
title_full_unstemmed Realistic navigational behavior for pedestrians (part II)
title_sort realistic navigational behavior for pedestrians (part ii)
publishDate 2010
url http://hdl.handle.net/10356/39718
_version_ 1759853576100773888