Design and development of neuro fuzzy techniques for monitoring traffic conditions

Singapore has one of the most cost-efficient and well-developed public transport networks in the world. Even though Singapore has the “first world” public transport, it is now critically suffering due to the increase in congestion, overcrowding and crowd bottleneck. With the growth of the population...

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Main Author: Lim, Cheryl Xin Yi
Other Authors: Er Meng Joo
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/72026
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-720262023-07-07T16:20:37Z Design and development of neuro fuzzy techniques for monitoring traffic conditions Lim, Cheryl Xin Yi Er Meng Joo School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Singapore has one of the most cost-efficient and well-developed public transport networks in the world. Even though Singapore has the “first world” public transport, it is now critically suffering due to the increase in congestion, overcrowding and crowd bottleneck. With the growth of the population, the trains and buses will be stretched to the capacity and thus lead to increase in the number of commuters using the public transport thus leading to further increase in overcrowding, congestion etc. In this report, we will discuss about intelligent systems that would analyse and predict traffic flow in order to curb with congestion and overcrowding. Furthermore, ‘classical’ mathematical techniques cannot accurately model the commuter’s ambiguities and uncertainties, and traditional analytical techniques are not effective when analysing the commuter’s behaviour and traffic conditions. Henceforth, this report will use fuzzy logic as the base of analysis for monitoring commuter’s behaviour. Bachelor of Engineering 2017-05-23T07:57:51Z 2017-05-23T07:57:51Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/72026 en Nanyang Technological University 46 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::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Lim, Cheryl Xin Yi
Design and development of neuro fuzzy techniques for monitoring traffic conditions
description Singapore has one of the most cost-efficient and well-developed public transport networks in the world. Even though Singapore has the “first world” public transport, it is now critically suffering due to the increase in congestion, overcrowding and crowd bottleneck. With the growth of the population, the trains and buses will be stretched to the capacity and thus lead to increase in the number of commuters using the public transport thus leading to further increase in overcrowding, congestion etc. In this report, we will discuss about intelligent systems that would analyse and predict traffic flow in order to curb with congestion and overcrowding. Furthermore, ‘classical’ mathematical techniques cannot accurately model the commuter’s ambiguities and uncertainties, and traditional analytical techniques are not effective when analysing the commuter’s behaviour and traffic conditions. Henceforth, this report will use fuzzy logic as the base of analysis for monitoring commuter’s behaviour.
author2 Er Meng Joo
author_facet Er Meng Joo
Lim, Cheryl Xin Yi
format Final Year Project
author Lim, Cheryl Xin Yi
author_sort Lim, Cheryl Xin Yi
title Design and development of neuro fuzzy techniques for monitoring traffic conditions
title_short Design and development of neuro fuzzy techniques for monitoring traffic conditions
title_full Design and development of neuro fuzzy techniques for monitoring traffic conditions
title_fullStr Design and development of neuro fuzzy techniques for monitoring traffic conditions
title_full_unstemmed Design and development of neuro fuzzy techniques for monitoring traffic conditions
title_sort design and development of neuro fuzzy techniques for monitoring traffic conditions
publishDate 2017
url http://hdl.handle.net/10356/72026
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