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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

With the rapid and wide implementation of adaptive cruise control system (ACC), the testing and evaluation method becomes an important question. Based on the human driver behavior characteristics extracted from naturalistic driving studies (NDS), this paper proposed the testing and evaluation method for ACC systems, which considers safety and human-like at the same time. Firstly, usage scenarios of ACC systems are defined and test scenarios are extracted and categorized as safety test scenarios and human-like test scenarios according to the collision likelihood. Then, the characteristic of human driving behavior is analyzed in terms of time to collision and acceleration distribution extracted from NDS. According to the dynamic parameters distribution probability, the driving behavior is divided into safe, critical, and dangerous behavior regarding safety and aggressive and normal behavior regarding human-like according to different quantiles. Then, the baselines for evaluation are designed and the weights of different scenarios are determined according to exposure frequency, resulting in a comprehensive evaluation method. Finally, an ACC system is tested in the selected test scenarios and evaluated with the proposed method. The tested vehicle finally got a safety score of 0.9496 (full score: 1) and a human-like score as fail. The results revealed the tested vehicle has a remarkably different driving pattern to human drivers, which may lead to uncomfortable ride experience and user-distrust of the system.

Details

Title
Adaptive Cruise Control System Evaluation According to Human Driving Behavior Characteristics
Author
Liu, Lin 1 ; Zhang, Qiang 2 ; Liu, Rui 3 ; Zhu, Xichan 1 ; Ma, Zhixiong 1 

 School of Automotive Studies, Tongji University, Shanghai 201804, China; [email protected] (L.L.); [email protected] (Z.M.) 
 State Key Laboratory of Vehicle NVH and Safety Technology, Chongqing 401122, China; [email protected] 
 School of Automobile, Chang’an University, Xi’an 710064, China; [email protected] 
First page
90
Publication year
2021
Publication date
2021
Publisher
MDPI AG
ISSN
20760825
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2531366347
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.