Volume & Issue no: Volume 6, Issue 5, September - October 2017
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Title: |
Modified Model of Predicting Traffic using KNN and Euclidean Distance |
Author Name: |
Navreet Kaur, Meenakshi Sharma |
Abstract: |
Abstract-Adverse situations creep in as traffic enhances on
road. This leads to significant problems for users. These
problems include delay and accidents. Traffic problem is
difficult to address but users can be given prior information
about on road traffic so that user can take appropriate action in
terms of choosing path. This research paper deals with traffic
prediction to predict on road traffic using KNN and Euclidean
distance mechanism. The mechanism is implied on dataset
derived from online source(UCI). For demonstration three
lanes are considered for prediction. Implementation is done
within MATLAB. The obtained accuracy of prediction is high
and mean square error is low through the proposed literature.
Keywords-Accuracy, Euclidean Distance, KNN, Mean
Square Error, Prediction, Traffic |
Cite this article: |
Navreet Kaur, Meenakshi Sharma , "
Modified Model of Predicting Traffic using KNN and Euclidean Distance" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 6, Issue 5, September - October 2017 , pp.
127-130 , ISSN 2278-6856.
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