A visualisation technique of extracting hidden patterns for maintaining road safety Online publication date: Wed, 23-Feb-2022
by C. Selvarathi; S. Subha; G. Madasamy Raja; K. Vidhya Lakshmi
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 21, No. 1/2, 2022
Abstract: Predictive analysis is a technique in the data mining which deals with extraction of hidden information from the collection of data and then it is used to predict trends and behaviour patterns. Predictive analysis extracts the relationship between explanatory variables and predicted variables from the past occurrences and exploits those variables to predict unknown outcome. This research paper is designed to enable traffic management controllers to use historical traffic and road accident data, to observe how traffic congestion and accidents are created in the roadways. The information about the accidents is collected and analysed through data mining techniques to predict the traffic congestion and accidents. The main contribution of this paper is a visualisation technique to predict the heavy traffic and highlight the history of the accidents. In this paper we introduce a risk index value that represents the history of accidents and predicts the accident prone areas.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Intelligence Paradigms (IJAIP):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook