Road accidents prediction by using adaptive network based fuzzy inference system (ANFIS)

Samsuddin, Effa Rizan (2017) Road accidents prediction by using adaptive network based fuzzy inference system (ANFIS). Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

Text (Full text) Road accidents prediction by using adaptive network based fuzzy inference system (ANFIS).pdf - Submitted Version Download (970kB)

Abstract

One of the most essential aim of Jabatan Pengangkutan Jalan Raya is to accommodate safe environments for the road safety. Nowadays, the average statistic of road accidents is too high and amount people die in a day because of road accidents also increase. So that, the project entitled Road Accidents Prediction is developed as road accidents prediction in order to reduce the amount of severity of the future possible accidents. The Road Accidents Prediction is developed by using the Adaptive Network Based Fuzzy Inference System (ANFIS) technique. This project aims to give the awareness to the road user based on the risk of accident happen. From the road accidents data, this prediction will provide awareness to the the user be more careful. Besides that, this project also aims to give the details about the accidents to the user. In this project, a comparative study will be conducted by implement the prediction on dataset. This comparative study use real data and predicted data by make the comparison between both data to know the accuracy of the prediction. If the comparative is not the same then there is some changes on prediction model will be occur.

Actions (login required)

View Item