Summary
International Technical Conference on Circuits/Systems, Computers and Communications
2016
Session Number:W1-2
Session:
Number:W1-2-2
Advanced Traffic Prediction System by Socio-Technical Sensor Fusion using Machine Learning
Swe Swe Aung , Shiro Tamaki, Itaru Nagayama ,
pp.709-712
Publication Date:2016/7/10
Online ISSN:2188-5079
Summary:
Nowadays, as traffic jam is an everyday facing problem in the developed and developing countries, monitoring, predicting and detection current traffic condition systems are playing an important role in research fields. The paper mainly focus on predicting traffic condition based on multiple points of view such as the data from road side camera, weather condition, weekday or weekend, rush hour time and special day. The responsibility of Traffic Prediction Server is to the integrate history data and the current input data by applying Naive Bayes Classifier, using m-estimate of probabilities.