Simulation and control of a large scale urban traffic network

The basis of this project was to analyse the effectiveness and performance of a proposed traffic scheduling strategy, a novel model which is still being developed. As traffic jams becomes more of a problem due to high volume of vehicles, new methods to ease congestion need to be designed in order to...

Full description

Saved in:
Bibliographic Details
Main Author: Abdul Maliki Abdul Gani
Other Authors: Su Rong
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70782
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-70782
record_format dspace
spelling sg-ntu-dr.10356-707822023-07-07T15:41:53Z Simulation and control of a large scale urban traffic network Abdul Maliki Abdul Gani Su Rong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering DRNTU::Engineering::Electrical and electronic engineering The basis of this project was to analyse the effectiveness and performance of a proposed traffic scheduling strategy, a novel model which is still being developed. As traffic jams becomes more of a problem due to high volume of vehicles, new methods to ease congestion need to be designed in order to tackle this problem as part of a new Intelligent Traffic Systems. VISSIM will mostly be used in creating a network model for the scheduling strategy to be implemented. The algorithm will then be implemented in VISSIM by using MATLAB through the COM interface feature, which allows for real time data collection and calculations of the network. Afterwards, there will be discussions of the performance of the algorithm in a simple 3 by 3 network, where preliminary results show promise. Finally, there will be a conclusion and thoughts on the future work of this project. Bachelor of Engineering 2017-05-11T05:38:33Z 2017-05-11T05:38:33Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70782 en Nanyang Technological University 78 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
DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
DRNTU::Engineering::Electrical and electronic engineering
Abdul Maliki Abdul Gani
Simulation and control of a large scale urban traffic network
description The basis of this project was to analyse the effectiveness and performance of a proposed traffic scheduling strategy, a novel model which is still being developed. As traffic jams becomes more of a problem due to high volume of vehicles, new methods to ease congestion need to be designed in order to tackle this problem as part of a new Intelligent Traffic Systems. VISSIM will mostly be used in creating a network model for the scheduling strategy to be implemented. The algorithm will then be implemented in VISSIM by using MATLAB through the COM interface feature, which allows for real time data collection and calculations of the network. Afterwards, there will be discussions of the performance of the algorithm in a simple 3 by 3 network, where preliminary results show promise. Finally, there will be a conclusion and thoughts on the future work of this project.
author2 Su Rong
author_facet Su Rong
Abdul Maliki Abdul Gani
format Final Year Project
author Abdul Maliki Abdul Gani
author_sort Abdul Maliki Abdul Gani
title Simulation and control of a large scale urban traffic network
title_short Simulation and control of a large scale urban traffic network
title_full Simulation and control of a large scale urban traffic network
title_fullStr Simulation and control of a large scale urban traffic network
title_full_unstemmed Simulation and control of a large scale urban traffic network
title_sort simulation and control of a large scale urban traffic network
publishDate 2017
url http://hdl.handle.net/10356/70782
_version_ 1772827141994446848