01006663

Component

https://doi.org/10.3141/1910-03

http://scholar.google.com...egen&publication_year=2005

This paper presents a methodological approach for validation of advanced driver assistance systems. The methodology relies on the use of randomized algorithms that are more efficient than conventional validation that uses simulations and field tests, especially with increasing complexity of the system. The methodology first specifies the perturbation space and performance criteria. Then, a minimum number of samples and a relevant sampling space are selected. Next, an iterative randomized simulation is executed; then the simulation model is validated with the use of hardware tests to increase the reliability of the estimated performance. The proof of concept is illustrated with some examples of a case study involving an adaptive cruise control system. The case study points out some characteristic properties of randomized algorithms with respect to the necessary sample complexity and sensitivity to model uncertainty. Solutions for these issues are proposed as are corresponding recommendations for research.

01006661

English

pp 20-28

2005

Transportation Research Record: Journal of the Transportation Research Board

030909383X

Print

Figures (5) ; References (18) ; Tables (1)

Algorithms; Autonomous intelligent cruise control; Case studies; Driver support systems; Methodology; Recommendations; Research; Simulation; Uncertainty; Validation

Highways; Operations and Traffic Management; Research; I73: Traffic Control

TRIS, TRB, ATRI

Oct 26 2005 10:49AM

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