Variable Selection and Modeling of Drivers' Decision in Overtaking Behavior Based on Logistic Regression Model With Gazing Information

• Published in: IEEE access Vol. 9; pp. 127672 - 127684
• Main Authors: Nwadiuto, Jude C., Yoshino, Soichi, Okuda, Hiroyuki, Suzuki, Tatsuya
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Data models; Decision making; Driver behavior; gazing behavior; Hidden Markov models; Input variables; Intelligent vehicles; line-of-sight information; logistic regression; Logistics; Mathematical model; model selection; Overtaking behavior; Regression models; Statistical analysis; statistical test; Statistical tests; Switches; Variables; Vehicles

This paper investigates the decision-making characteristics of the driver in the overtaking on the highway road. For the research purpose, a novel method was proposed by introducing a logistic regression model accompanied by the statistical test technique, which does not require prior knowledge abou...