Multi-parameter prediction of drivers' lane-changing behaviour with neural network model

• Published in: Applied ergonomics Vol. 50; pp. 207 - 217
• Main Authors: Peng, Jinshuan, Guo, Yingshi, Fu, Rui, Yuan, Wei, Wang, Chang
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.09.2015; Elsevier Science Ltd
• Subjects: Adult; Automobile driving; Automobile Driving - psychology; Automobile Driving - statistics & numerical data; Ergonomics; Eye Movements; Female; Head Movements; Human factors research; Humans; Lane change prediction; Male; Middle Aged; Motion; Naturalistic driving experiment; Neural network model; Neural networks; Neural Networks (Computer); Predictions; Safety systems; Time Factors; Traffic accidents & safety; Transportation research; Neural network model; Naturalistic driving experiment; Lane change prediction

Accurate prediction of driving behaviour is essential for an active safety system to ensure driver safety. A model for predicting lane-changing behaviour is developed from the results of naturalistic on-road experiment for use in a lane-changing assistance system. Lane changing intent time window is...