Toward Integrated Takeover Performance Measurement: Validation of Fréchet Distance as a Takeover Performance Metric

Author:

Han Doo Won1ORCID,Liu Jundi1,Yang X. Jessie1,Romo Alicia2,Horrey William2,Tilbury Dawn1,Zhou Feng3,Robert Lionel1ORCID,Molnar Lisa4

Affiliation:

1. University of Michigan, Ann Arbor, MI, USA

2. AAA Foundation for Traffic Safety, Washington, DC, USA

3. University of Michigan-Dearborn, MI, USA

4. University of Michigan Transportation Institute, Ann Arbor, MI, USA

Abstract

This study introduces and validates a new metric for assessing takeover performance in conditionally automated driving, using Fréchet Distance. Fréchet Distance is a measurement that measures the similarity between two separate curves. Thirty-two participants took part in a simulated driving experiment. Employing a 2 × 2 within-subjects design, the study compared traditional takeover performance metrics, including takeover time, time to collision, and resulting acceleration, with Fréchet Distance. Analysis results revealed similar trends between traditional metrics and Fréchet Distance. These findings suggest that Fréchet Distance can effectively measure takeover performance by integrating spatial and temporal aspects.

Publisher

SAGE Publications

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