Novel Traffic Incident Detection System using Machine Learning |
Author(s): |
| Harshada Londhe , VPKBIET,Baramati; NiKita Durgade, VPKBIET,Baramati; Kunal Patil, VPKBIET,Baramati; Pooja Kamble, VPKBIET,Baramati |
Keywords: |
| Road Incident Detection, Machine Learning |
Abstract |
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Accident! The word which causes Goosebumps to us as it leads to loss of lives, painful injuries and it has economic and social impact. There is need to have an effective and efficient approach to overcome with traffic accidents/incidents. The proposed system involves extracting features from traffic dataset which leads to traffic accidents. A decision tree is a predictive tool for extracting features from dataset as decision tree provides a quantify outcomes. In the initial set of experiments conducted on available dataset it was preliminarily found that decision trees gives 80% accurate results which are considerably larger than most of the other classifiers. In this paper we present a review of different machine learning techniques for traffic incident/accident detection. |
Other Details |
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Paper ID: IJSRDV6I90257 Published in: Volume : 6, Issue : 9 Publication Date: 01/12/2018 Page(s): 348-349 |
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