01551310

Component

https://doi.org/10.3141/2489-14

Automated driving is currently under research in various projects and research activities. These activities are clustered in different research areas. The evaluation and sign-off methodology for automated vehicles is currently a challenge to be solved. An innovative approach for such a sign-off methodology is proposed. A state-of-the-art overview of existing evaluation methods for advanced driver assistance systems, which are already available on the market today, is given in the form of a systems engineering process model. The existing evaluation methods already require great effort for real-world testing. Applying these methods to automated vehicles will exceed reasonable budget and time. The proposed method for effective evaluation of automated vehicles considers a database of relevant driving situations, which are collected and simulated on the basis of accident data and field operational and dedicated studies under controlled conditions. The database of relevant driving situations is the basis for an effective evaluation to be applied in simulation, driving simulators, and in test track scenarios. The methodology is described, and necessary building blocks are provided to implement the proposed concept.

01595098

15-4199

English

pp 123–129

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369572

Print

Figures (7) ; References (23)

Advanced vehicle control systems; Databases; Driver support systems; Driving; Evaluation; Intelligent vehicles; Methodology; Systems engineering

Data and Information Technology; Highways; Operations and Traffic Management; Research; Safety and Human Factors; Vehicles and Equipment; I91: Vehicle Design and Safety

TRIS, TRB, ATRI

Dec 30 2014 1:22PM

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