Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Predictive Analytics of the Likelihood Of Road Accidents by Location

Muhammed, Muhammad Bukhari (2019) Predictive Analytics of the Likelihood Of Road Accidents by Location. IRC, Universiti Teknologi PETRONAS. (Submitted)

[img] PDF
Restricted to Registered users only

Download (1168Kb)

Abstract

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.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > Q Science (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 09 Sep 2021 13:57
Last Modified: 09 Sep 2021 13:57
URI: http://utpedia.utp.edu.my/id/eprint/20835

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...