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An Investigation of Drivers’ Adaptation Behavior and Decision Making When Interacting with CAV Technologies

Status: Complete

Lead Researcher(s)

Shan Bao
Associate Professor of Industrial and Manufacturing Systems Engineering, College of Engineering and Computer Science, the University of Michigan-Dearborn, Associate Research Scientist, Human Factors, University of Michigan Transportation Research Institute and Intermittent Lecturer in Industrial and Operations Engineering, College of Engineering

Anuj Pradhan
Former Assistant Research Scientist, University of Michigan Transportation Research Institute

John Sullivan
Associate Research Scientist, Human Factors, University of Michigan Transportation Research Institute

Carol Flannagan
Research Associate Professor of Biosciences and Research Associate Professor, University of Michigan Transportation Research Institute

Project Team

Project Abstract

This study examined drivers’ adaptation behavior when interacting with connected and automated vehicle (CAV) technologies while driving on actual roads, and furthered understanding of the positive and negative safety consequences of those advanced technologies.

Project Outcome

(1) Computational models to predict drivers’ decision making in adapting to CAV safety systems, and (2) quantification of safety consequences from drivers’ adaptation behavior.


BUDGET YEAR: 2015-05-01
IMPACT: SAFETY
RESEARCH CATEGORY: HUMAN FACTORS