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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Main Author: Abu Bakar, Mohamad Afiq
Format: Thesis
Language:English
Published: 2019
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/26856/1/TD_MOHAMAD%20AFIQ%20ABU%20BAKAR%20CS%20R%2019_5.pdf
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spelling my-uitm-ir.268562019-12-16T08:06:32Z Analysis of vehicle density estimation for traffic congestion in VANET / Mohamad Afiq Abu Bakar 2019-12-11 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 Thesis https://ir.uitm.edu.my/id/eprint/26856/ https://ir.uitm.edu.my/id/eprint/26856/1/TD_MOHAMAD%20AFIQ%20ABU%20BAKAR%20CS%20R%2019_5.pdf text en public degree Universiti Teknologi MARA Perlis Faculty of Computer and Mathematical Sciences
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
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
qualification_level Bachelor degree
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
granting_institution Universiti Teknologi MARA Perlis
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2019
url https://ir.uitm.edu.my/id/eprint/26856/1/TD_MOHAMAD%20AFIQ%20ABU%20BAKAR%20CS%20R%2019_5.pdf
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