Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar
Traffic congestion was a big problem faced by road users (especially drivers) and reducing the traffic congestion in a specific location was a difficult task. Therefore, monitoring traffic congestion was one of the technique to minimize the problem. Vehicle density was the key element used to monito...
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uitm-268562019-12-16T08:06:32Z http://ir.uitm.edu.my/id/eprint/26856/ Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar Abu Bakar, Mohamad Afiq Computer software Interactive computer systems Traffic congestion was a big problem faced by road users (especially drivers) and reducing the traffic congestion in a specific location was a difficult task. Therefore, monitoring traffic congestion was one of the technique to minimize the problem. Vehicle density was the key element used to monitor traffic conditions and offer a better judgement in a congested area. The objective of the project was to implement vehicle density formula in a VANET simulation using SUMO and NS2 then analyze the result based on the vehicle density. This project using SUMO 0.32.0, NS 2.35 and Microsoft Excel. The simulation has been successfully executed with the trace file (map.tr) produced. However, there was problem in extracting the required data for generating the vehicle density. The future work will be continued to produce better results. 2019-12-11 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/26856/1/TD_MOHAMAD%20AFIQ%20ABU%20BAKAR%20CS%20R%2019_5.pdf Abu Bakar, Mohamad Afiq (2019) Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar. Degree thesis, Universiti Teknologi MARA Perlis. |
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Digital Repository |
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Local University |
institution |
Universiti Teknologi MARA |
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UiTM Institutional Repository |
collection |
Online Access |
language |
English |
topic |
Computer software Interactive computer systems |
spellingShingle |
Computer software Interactive computer systems Abu Bakar, Mohamad Afiq Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar |
description |
Traffic congestion was a big problem faced by road users (especially drivers) and reducing the traffic congestion in a specific location was a difficult task. Therefore, monitoring traffic congestion was one of the technique to minimize the problem. Vehicle density was the key element used to monitor traffic conditions and offer a better judgement in a congested area. The objective of the project was to implement vehicle density formula in a VANET simulation using SUMO and NS2 then analyze the result based on the vehicle density. This project using SUMO 0.32.0, NS 2.35 and Microsoft Excel. The simulation has been successfully executed with the trace file (map.tr) produced. However, there was problem in extracting the required data for generating the vehicle density. The future work will be continued to produce better results. |
format |
Thesis |
author |
Abu Bakar, Mohamad Afiq |
author_facet |
Abu Bakar, Mohamad Afiq |
author_sort |
Abu Bakar, Mohamad Afiq |
title |
Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar |
title_short |
Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar |
title_full |
Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar |
title_fullStr |
Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar |
title_full_unstemmed |
Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar |
title_sort |
analysis of vehicle density estimation for traffic congestion in vanet / mohamad afiq abu bakar |
publishDate |
2019 |
url |
http://ir.uitm.edu.my/id/eprint/26856/ http://ir.uitm.edu.my/id/eprint/26856/1/TD_MOHAMAD%20AFIQ%20ABU%20BAKAR%20CS%20R%2019_5.pdf |
first_indexed |
2023-09-18T23:17:30Z |
last_indexed |
2023-09-18T23:17:30Z |
_version_ |
1777419210986618880 |