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An efficient traffic forecasting system based on spatial data and decision trees
Joint Authors
Prasad, Kalli Srinivasa Nageswara
Ramakrishna, Seelam
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 3 (31 May. 2014)9 p.
Publisher
Publication Date
2014-05-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
The rapid proliferation of Global Position Service (GPS) devices and mounting number of traffic monitoring systems employed by municipalities have opened the door for advanced traffic control and personalized route planning.
Most state of the art traffic management and information systems focus on data analysis, and very little has been done in the sense of prediction.
In this article, we devise an efficient system for the prediction of peak traffic flow using machine learning techniques.
In the proposed system, the traffic flow of a locality is predicted with the aid of the geospatial data obtained from aerial images.
The proposed system comprises of two significant phases : 1).
Geospatial data extraction from aerial images and 2).
Traffic flow prediction using See5.0 decision tree.
Firstly, geographic information essential for traffic flow prediction are extracted from aerial images like traffic maps, using suitable image processing techniques.
Subsequently, for a user query, the trained See5.0 decision tree predicts the traffic state of the intended location with relevance to the date and time specified.
The experimental results portray the effectiveness of the proposed system in predicting traffic flow.
American Psychological Association (APA)
Prasad, Kalli Srinivasa Nageswara& Ramakrishna, Seelam. 2014. An efficient traffic forecasting system based on spatial data and decision trees. The International Arab Journal of Information Technology،Vol. 11, no. 3.
https://search.emarefa.net/detail/BIM-334316
Modern Language Association (MLA)
Prasad, Kalli Srinivasa Nageswara& Ramakrishna, Seelam. An efficient traffic forecasting system based on spatial data and decision trees. The International Arab Journal of Information Technology Vol. 11, no. 3 (May. 2014).
https://search.emarefa.net/detail/BIM-334316
American Medical Association (AMA)
Prasad, Kalli Srinivasa Nageswara& Ramakrishna, Seelam. An efficient traffic forecasting system based on spatial data and decision trees. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 3.
https://search.emarefa.net/detail/BIM-334316
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-334316