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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Universiti Teknologi Petronas
2011
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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) |
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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/ |
_version_ |
1739831566715060224 |