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Human dynamics based driver model for autonomous car

Title
Human dynamics based driver model for autonomous car
Author
오희국
Keywords
automobiles; behavioural sciences; road traffic; transportation; human dynamics; autonomous car; driver model; human behaviour dynamics; behavioural features; driving process; statistical data; power law distribution; human behaviours; hardware-in-loop simulator; COMPLEX NETWORKS; GENDER; AGE
Issue Date
2016-10
Publisher
INST ENGINEERING TECHNOLOGY-IET
Citation
IET INTELLIGENT TRANSPORT SYSTEMS, v. 10, No. 8, Page. 545-554
Abstract
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.
URI
http://digital-library.theiet.org/content/journals/10.1049/iet-its.2015.0173http://repository.hanyang.ac.kr/handle/20.500.11754/70683
ISSN
1751-956X; 1751-9578
DOI
10.1049/iet-its.2015.0173
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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