A bus transport system that acquires collective intelligence through information exploitation

This project studies bus systems with periodic boundary conditions using a modified Nagel-Schreckenberg (NaSch) Cellular Automata (CA) simulation model. We propose a self-organising method to control speed of the buses using passenger occupancy information of buses and bus stops. The study was done...

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Bibliographic Details
Main Author: Zhao, Zhuo
Other Authors: Chew Lock Yue
Format: Final Year Project (FYP)
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/63445
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author Zhao, Zhuo
author2 Chew Lock Yue
author_facet Chew Lock Yue
Zhao, Zhuo
author_sort Zhao, Zhuo
collection NTU
description This project studies bus systems with periodic boundary conditions using a modified Nagel-Schreckenberg (NaSch) Cellular Automata (CA) simulation model. We propose a self-organising method to control speed of the buses using passenger occupancy information of buses and bus stops. The study was done with road information from the campus of Nanyang Technological University (NTU). The simulation results shows uniform headway of buses, short waiting time of passengers and small variation of waiting time. The model is robust to very strong bunching influence, and recovers from a deliberate jam without human interference. The model is also applicable to other similar bus systems without re-training its parameters.
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spelling ntu-10356/634452023-02-28T23:16:43Z A bus transport system that acquires collective intelligence through information exploitation Zhao, Zhuo Chew Lock Yue School of Physical and Mathematical Sciences DRNTU::Science::Physics This project studies bus systems with periodic boundary conditions using a modified Nagel-Schreckenberg (NaSch) Cellular Automata (CA) simulation model. We propose a self-organising method to control speed of the buses using passenger occupancy information of buses and bus stops. The study was done with road information from the campus of Nanyang Technological University (NTU). The simulation results shows uniform headway of buses, short waiting time of passengers and small variation of waiting time. The model is robust to very strong bunching influence, and recovers from a deliberate jam without human interference. The model is also applicable to other similar bus systems without re-training its parameters. Bachelor of Science in Physics 2015-05-13T09:04:00Z 2015-05-13T09:04:00Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/63445 en 50 p. application/pdf
spellingShingle DRNTU::Science::Physics
Zhao, Zhuo
A bus transport system that acquires collective intelligence through information exploitation
title A bus transport system that acquires collective intelligence through information exploitation
title_full A bus transport system that acquires collective intelligence through information exploitation
title_fullStr A bus transport system that acquires collective intelligence through information exploitation
title_full_unstemmed A bus transport system that acquires collective intelligence through information exploitation
title_short A bus transport system that acquires collective intelligence through information exploitation
title_sort bus transport system that acquires collective intelligence through information exploitation
topic DRNTU::Science::Physics
url http://hdl.handle.net/10356/63445
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AT zhaozhuo bustransportsystemthatacquirescollectiveintelligencethroughinformationexploitation