Study on a Method for Evaluating the Safety of the Braking Control Algorithm for Automated Driving System When Following

2019-01-1015

04/02/2019

Features
Event
WCX SAE World Congress Experience
Authors Abstract
Content
The purpose of this study is to develop a method for evaluating the safety of the braking control algorithm for automated driving under mixed traffic flow of automated driving system and vehicles driven by drivers. We consider that the automated driving system should be controlled such that it blends in with mixed traffic. Therefore, in evaluating the safety of braking control for the automated driving system when following, the influence of the automated driving system on the driver of the following vehicle is an important evaluation index.
First, we analyzed past traffic accidents in Japan to determine a suitable traffic environment for evaluating the safety of the braking control algorithm for the automated driving system when following.
Second, the driver’s braking operations were measured using actual vehicles in this situation. We developed a method of generating sample algorithms of braking control based on the driver’s braking operations.
Finally, we developed a method of identifying the most suitable range of parameters of braking control algorithms by evaluating these sample algorithms based on the results of actual experiments.
This evaluation method uses a driving simulator. The automated driving system in which the sample algorithm of braking control is installed runs ahead of the vehicle driven by a subject in the driving simulator. The subject evaluates the sense of danger for braking by the automated driving system.
Meta TagsDetails
DOI
https://doi.org/10.4271/2019-01-1015
Pages
11
Citation
Gokan, M., Tanaka, N., Furukawa, Y., Iwase, T. et al., "Study on a Method for Evaluating the Safety of the Braking Control Algorithm for Automated Driving System When Following," SAE Technical Paper 2019-01-1015, 2019, https://doi.org/10.4271/2019-01-1015.
Additional Details
Publisher
Published
Apr 2, 2019
Product Code
2019-01-1015
Content Type
Technical Paper
Language
English