Pattern Discovery and Rule Mining of Drivers' Perception and Operation During Lane Changing Process

To find the correlation between eye perceiving and hand-foot operating during the process of discretionary lane changing on the highway, and to explore the mechanism of the interaction between perception and operation, a driving simulator was used to carry out a highway driving experiment. Eye movement data and vehicle operation data were collected. Features of eye perceiving and hand-foot operating for an instant and during the whole process of lane changing were extracted. The Aprior algorithm was used to find frequent patterns and mine association rules of eye perceiving and hand-foot operating. For the instantaneous perception-operation, 13 frequent 3-itemset patterns were found in left lane changing and 18 frequent 3-itemset patterns were found in right lane changing. For the whole process, 4 frequent patterns were found in left lane changing and 3 frequent patterns were found in right lane changing. Six valuable association rules were found in the left lane and the right lane, respectively. Through the analysis of frequent patterns and association rules, right lane changing needs more perception time and more complicated hand-foot operating behavior than left lane changing. The frequent patterns and association rules describe the characteristics of perception-operation and the association between them in the process of discretionary lane changing, which can provide the reference for safe lane changing and support for lane changing operations of unmanned vehicles. Copyright © 2021 by Science Press.