Open AccessHuman dynamics based driver model for autonomous car
Author(s) -
Li Lin,
Liu Yanheng,
Wang Jian,
Deng Weiwen,
Oh Heekuck
Publication year - 2016
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2015.0173
Subject(s) - process (computing) , dynamics (music) , computer science , human dynamics , vehicle dynamics , personality , power (physics) , simulation , driving simulator , human–computer interaction , engineering , artificial intelligence , automotive engineering , psychology , social psychology , physics , pedagogy , quantum mechanics , operating system
This study presents a new driver model based on human behaviour dynamics for autonomous cars, which allows driverless cars to move appropriately in accordance to the behavioural features of driver owners. This model is established through analysing drivers’ various properties, e.g. gender, age, driving experience, personality, and emotion. These attributes collectively determine all the actions occurred during the driving process. Through analysing the statistical data gathered during the simulation, the authors find that the proposed model can reflect the power‐law distribution with respect to the concerned human behaviours. Finally, the proposed model is validated by the hardware‐in‐loop simulator and real driving experiment.