Human Performance in Critical Scenarios as a Benchmark for Highly Automated Vehicles

Mon, 19 Jul 2021 00:00:00 +0000

Before highly automated vehicles (HAVs) become part of everyday traffic, their safety must be proven.
The use of human performance as a benchmark represents a promising approach - yet, appropriate methods to quantify and compare human and HAV performance remain rare.

By adapting the method of constant stimuli, a scenario-based approach to quantify the limit of human performance is developed.
This method is applied in a driving simulator study, where participants repeatedly face a cut-in manoeuvre on a highway.

By systematically manipulating the criticality of the manoeuvre - defined in terms of time to collision (TTC) - humans’ collision-avoidance performance can be measured.

Key Method

The limit of human performance is identified using logistic regression.
The regression curve and its inflection point allow direct comparison between human and HAV performance.

Conclusion

The presented approach provides a practical means by which HAVs’ safety performance can be evaluated and proven against human driving capabilities.

Human Driving Performance | Meng's Page

Human Performance in Critical Scenarios as a Benchmark for Highly Automated Vehicles

Key Method

Conclusion