REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION

This research paper will discuss about current problem that is common to urban citizens in the whole world, which is traffic congestion and the solution on how to overcome it. Emphasized has been given on the traffic congestion that occurs withont bottleneck, especially in highway. Study has been...

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Main Author: Abdul Samat, Nor Fadhilah
Format: Final Year Project
Language:English
Published: Universiti Teknologi Petronas 2011
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Online Access:http://utpedia.utp.edu.my/8359/1/2011%20-%20Reduxgo-%20context%20awarem%20recommender%20system%20to%20reduce%20stop-and-go%20during%20highway%20congestion.pdf
http://utpedia.utp.edu.my/8359/
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Institution: Universiti Teknologi Petronas
Language: English
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spelling my-utp-utpedia.83592017-01-25T09:41:30Z http://utpedia.utp.edu.my/8359/ REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION Abdul Samat, Nor Fadhilah T Technology (General) This research paper will discuss about current problem that is common to urban citizens in the whole world, which is traffic congestion and the solution on how to overcome it. Emphasized has been given on the traffic congestion that occurs withont bottleneck, especially in highway. Study has been made on the Anatomy of Traffic Congestion to identify the main canse of the problem and at the same time identifying possible ways to overcome the situation with the help of current technology tools. Research also has been made on the available options currently being used by public to avoid traffic congestion in the urllan area which includes GPS, website portal, radio and others. Though there are many technology tools that available to help public with traffic congestion, however there are no specific applications that help the user to reduce the Stop-and-Go during traffic congestion. Most of the current applications are emphasizing more on giving current updates to user in order to avoid the congested area. ReduxGO will be developed to help the driver to cope and reduce the congestion by maintaining suitable gaps distance between owner's vehicle and preceding vehicle. Context-Aware Recommender System (CARS) has been chosen as the base platform to develop special application for mobile phone users. Location, which refers to vehicle's position, has been chosen as the main Context input to be considered in the application. The application will function to recommend suitable speed to the user in order to maintain the appropriate gaps distance between vehicles. This report will discuss in detail regarding the procedure and tools required to develop the application. The methodology undertaken to conduct the project development will be Extreme Programming Methodology which involve four ( 4) main phases which are Planning, Analysis, Design and Implementation. This report is presented to deliver the background, problem statements, objectives, scope of study, literature review, and methodology of choice in the development process. Universiti Teknologi Petronas 2011-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/8359/1/2011%20-%20Reduxgo-%20context%20awarem%20recommender%20system%20to%20reduce%20stop-and-go%20during%20highway%20congestion.pdf Abdul Samat, Nor Fadhilah (2011) REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION. Universiti Teknologi Petronas. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Abdul Samat, Nor Fadhilah
REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION
description This research paper will discuss about current problem that is common to urban citizens in the whole world, which is traffic congestion and the solution on how to overcome it. Emphasized has been given on the traffic congestion that occurs withont bottleneck, especially in highway. Study has been made on the Anatomy of Traffic Congestion to identify the main canse of the problem and at the same time identifying possible ways to overcome the situation with the help of current technology tools. Research also has been made on the available options currently being used by public to avoid traffic congestion in the urllan area which includes GPS, website portal, radio and others. Though there are many technology tools that available to help public with traffic congestion, however there are no specific applications that help the user to reduce the Stop-and-Go during traffic congestion. Most of the current applications are emphasizing more on giving current updates to user in order to avoid the congested area. ReduxGO will be developed to help the driver to cope and reduce the congestion by maintaining suitable gaps distance between owner's vehicle and preceding vehicle. Context-Aware Recommender System (CARS) has been chosen as the base platform to develop special application for mobile phone users. Location, which refers to vehicle's position, has been chosen as the main Context input to be considered in the application. The application will function to recommend suitable speed to the user in order to maintain the appropriate gaps distance between vehicles. This report will discuss in detail regarding the procedure and tools required to develop the application. The methodology undertaken to conduct the project development will be Extreme Programming Methodology which involve four ( 4) main phases which are Planning, Analysis, Design and Implementation. This report is presented to deliver the background, problem statements, objectives, scope of study, literature review, and methodology of choice in the development process.
format Final Year Project
author Abdul Samat, Nor Fadhilah
author_facet Abdul Samat, Nor Fadhilah
author_sort Abdul Samat, Nor Fadhilah
title REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION
title_short REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION
title_full REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION
title_fullStr REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION
title_full_unstemmed REDUXGO- CONTEXT AWARE MOBILE RECOMMENDER SYSTEM TO REDUCE STOP-AND-GO SCENARIO DURING HIGHWAY CONGESTION
title_sort reduxgo- context aware mobile recommender system to reduce stop-and-go scenario during highway congestion
publisher Universiti Teknologi Petronas
publishDate 2011
url http://utpedia.utp.edu.my/8359/1/2011%20-%20Reduxgo-%20context%20awarem%20recommender%20system%20to%20reduce%20stop-and-go%20during%20highway%20congestion.pdf
http://utpedia.utp.edu.my/8359/
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