Predictive Analytics of the Likelihood Of Road Accidents by Location

This project is regarding the problem of the inability to relate the relationship between different factors in the event of road accident to the occurrence of road accident as well as the inability to forecast the occurrence of road accident. The solution that will be introduce by this project...

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Main Author: Muhammed, Muhammad Bukhari
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.20835 /
Published: IRC 2019
Subjects:
Q Science (General)
Online Access: http://utpedia.utp.edu.my/20835/1/Muhammad%20Bukhari%20Muhammed_24182.pdf
http://utpedia.utp.edu.my/20835/
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spelling utp-utpedia.208352021-09-09T13:57:01Z http://utpedia.utp.edu.my/20835/ Predictive Analytics of the Likelihood Of Road Accidents by Location Muhammed, Muhammad Bukhari Q Science (General) This project is regarding the problem of the inability to relate the relationship between different factors in the event of road accident to the occurrence of road accident as well as the inability to forecast the occurrence of road accident. The solution that will be introduce by this project is a dashboard containing visuals of relationship between different factors to road accident. The dashboard will be created on a Microsoft software, PowerBi. The dashboard will also contain at least one visual that gives the statistic of the likelihood of future accident to happen by location which its algorithm will be coded in R programming and be embedded into the main dashboard. It will produce a very deep analytical results which will help contribute us in recognizing the likelihood of future accident locations and their factors so that the location can be improved to prevent the accidents. IRC 2019-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/20835/1/Muhammad%20Bukhari%20Muhammed_24182.pdf Muhammed, Muhammad Bukhari (2019) Predictive Analytics of the Likelihood Of Road Accidents by Location. IRC, Universiti Teknologi PETRONAS. (Submitted)
institution Universiti Teknologi Petronas
collection UTPedia
language English
topic Q Science (General)
spellingShingle Q Science (General)
Muhammed, Muhammad Bukhari
Predictive Analytics of the Likelihood Of Road Accidents by Location
description This project is regarding the problem of the inability to relate the relationship between different factors in the event of road accident to the occurrence of road accident as well as the inability to forecast the occurrence of road accident. The solution that will be introduce by this project is a dashboard containing visuals of relationship between different factors to road accident. The dashboard will be created on a Microsoft software, PowerBi. The dashboard will also contain at least one visual that gives the statistic of the likelihood of future accident to happen by location which its algorithm will be coded in R programming and be embedded into the main dashboard. It will produce a very deep analytical results which will help contribute us in recognizing the likelihood of future accident locations and their factors so that the location can be improved to prevent the accidents.
format Final Year Project
author Muhammed, Muhammad Bukhari
author_sort Muhammed, Muhammad Bukhari
title Predictive Analytics of the Likelihood Of Road Accidents by Location
title_short Predictive Analytics of the Likelihood Of Road Accidents by Location
title_full Predictive Analytics of the Likelihood Of Road Accidents by Location
title_fullStr Predictive Analytics of the Likelihood Of Road Accidents by Location
title_full_unstemmed Predictive Analytics of the Likelihood Of Road Accidents by Location
title_sort predictive analytics of the likelihood of road accidents by location
publisher IRC
publishDate 2019
url http://utpedia.utp.edu.my/20835/1/Muhammad%20Bukhari%20Muhammed_24182.pdf
http://utpedia.utp.edu.my/20835/
_version_ 1741195670734241792
score 11.62408

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