Mobile application for real-time traffic monitoring and prediction

Mobile application for real-time traffic monitoring and prediction

In large cities, traffic congestions are quite common, especially during rush hour. However, these congestions may be avoided by guiding drivers appropriately and effectively. In order to develop an effective route guidance, we need to be able to track and predict the traffic flow in real-time. Inde...

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Main Author: Muhammad Taha Roslan
Other Authors: Justin Dauwels
Format: Final Year Project
Language:English
Published: 2014
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Online Access:http://hdl.handle.net/10356/61985
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-61985
record_format dspace
spelling sg-ntu-dr.10356-619852023-07-07T15:44:37Z Mobile application for real-time traffic monitoring and prediction Muhammad Taha Roslan Justin Dauwels School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In large cities, traffic congestions are quite common, especially during rush hour. However, these congestions may be avoided by guiding drivers appropriately and effectively. In order to develop an effective route guidance, we need to be able to track and predict the traffic flow in real-time. Indeed, if we can predict how the traffic will evolve over time accurately, we may be able to forecast potential traffic congestions and determine a route guidance schemes to avoid them. Bachelor of Engineering 2014-12-15T02:02:35Z 2014-12-15T02:02:35Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/61985 en Nanyang Technological University 49 p. application/pdf text/html
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::Control and instrumentation::Control engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Muhammad Taha Roslan
Mobile application for real-time traffic monitoring and prediction
description In large cities, traffic congestions are quite common, especially during rush hour. However, these congestions may be avoided by guiding drivers appropriately and effectively. In order to develop an effective route guidance, we need to be able to track and predict the traffic flow in real-time. Indeed, if we can predict how the traffic will evolve over time accurately, we may be able to forecast potential traffic congestions and determine a route guidance schemes to avoid them.
author2 Justin Dauwels
author_facet Justin Dauwels
Muhammad Taha Roslan
format Final Year Project
author Muhammad Taha Roslan
author_sort Muhammad Taha Roslan
title Mobile application for real-time traffic monitoring and prediction
title_short Mobile application for real-time traffic monitoring and prediction
title_full Mobile application for real-time traffic monitoring and prediction
title_fullStr Mobile application for real-time traffic monitoring and prediction
title_full_unstemmed Mobile application for real-time traffic monitoring and prediction
title_sort mobile application for real-time traffic monitoring and prediction
publishDate 2014
url http://hdl.handle.net/10356/61985
_version_ 1772827317488320512

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