Automated vehicles can change the society by improved safety, mobility, and fuel efficiency. However, due to the higher cost and change in business model, over the coming decades, the highly automated vehicles likely will continue to interact with many human-driven vehicles. In the past, the control/design of the highly automated (robotic) vehicles mainly considers safety and efficiency but failed to address the “driving culture” of surrounding human-driven vehicles. Thus, the robotic vehicles may demonstrate behaviors very different from other vehicles. We study this “driving etiquette” problem in this paper. As the first step, we report the key behavior parameters of human driven vehicles derived from a large naturalistic driving database. The results can be used to guide future algorithm design of highly automated vehicles or to develop realistic human-driven vehicle behavior model in simulations.
Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior
IEEE Transactions on Intelligent Transportation Systems ; 21 , 4 ; 1393-1403
2020-04-01
4285795 byte
Article (Journal)
Electronic Resource
English
Developing Robot Driver Etiquette Based on Naturalistic Human Driving Behavior
ArXiv | 2018
|An Unsupervised Approach for Inferring Driver Behavior From Naturalistic Driving Data
Online Contents | 2015
|Driver Behavior as Affected by Static Objects: A Naturalistic Driving Approach
Springer Verlag | 2019
|British Library Conference Proceedings | 2016
|