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: | |
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| Format: | Final Year Project |
| Language: | English |
| Published: |
IRC
2019
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| Subjects: | |
| Online Access: | http://utpedia.utp.edu.my/20835/1/Muhammad%20Bukhari%20Muhammed_24182.pdf http://utpedia.utp.edu.my/20835/ |
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| Institution: | Universiti Teknologi Petronas |
| Language: | English |
| Summary: | 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. |
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