The Evaluation of the Driving Capability for Drivers Based on Vehicle States and Fuzzy-ANP Model China Merchants Testing Vehicle Technology Research Institut

Format:

Book

Conference/Event

Author/Creator:

Wang, Kan, author.

Contributor:

Liu, Liwen

Zeng, Di

Zheng, Ling

Conference Name:

SAE 2021 Intelligent and Connected Vehicles Symposium Part II (2021-11-04 : Chongqing, China)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2022

Summary:

In partly autonomous driving such as level 2 or level 3 automatic driving from SAE international classification, the switching of the driving right between the human driver and the machine plays an important role in the driving process of vehicle [1]. In this paper, the data collected from vehicle states and the driving behavior of drivers is completed via a simulator and self-report questionnaires. A fuzzy analytic network process (Fuzzy-ANP) model is developed to evaluate the driving capability of the drivers in real time from vehicle states due to its direct inherent link to the change of the driving state of drivers Moreover, in this model, the idea of group decision and multi-index fusion is adopted. The questionnaire is required to identify the experimental results from the simulator. The results show that the proposed Fuzzy-ANP model can evaluate the driving capability of the participants in real time accurately. As a real and objective driving state from vehicle, it is a good mirror to reflect the driving state or the driving capability from drivers. The driving capability is an important criterion or standard to decide the switching of the driving right between human driver and machine in autonomous vehicles

Notes:

Vendor supplied data

Publisher Number:

2022-01-7000

Access Restriction:

Restricted for use by site license