Fuzzy Probabilistic Approach to Identify Driving Behavior of Two-Wheeler Drivers Under Mixed Traffic Conditions

The identification and analysis of aggressive driving behaviour are crucial for enhancing road safety and preventing potential hazards on the roads. By closely examining patterns of aggressive behaviour, such as speeding and sudden lane changes, authorities can implement targeted interventions to mi...

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Bibliographic Details
Published in:	IEEE access Vol. 12; pp. 76169 - 76179
Main Authors:	Kumar Kushwaha, Ankit, Shinde, Kartik, Anil Kumar, B.
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Acceleration Accidents Accuracy aggressive behavior Algorithms Behavioral sciences Classification Decision trees Driver behavior Driving Driving conditions Flow control Fuzzy logic Fuzzy sets Hidden Markov models Lane changing Markov chains naturalistic driving data Principal components analysis Probabilistic logic Probability theory Regression Regression analysis Road safety Roads Statistical analysis Traffic control Traffic flow Traffic safety Transportation systems two-wheeler Uncertainty analysis Urban areas Vehicle safety Vehicles
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