UF & UAB’s Phase 2 Demonstration Study: Developing a Model to Support Transportation System Decisions considering the Experiences of Drivers of all Age Groups with Autonomous Vehicle Technology
Sherrilene Classen, University of Florida
Virginia Sisiopiku, University of Alabama at Birmingham
Justin Mason, University of Florida
Congestion: The introduction of AVs will have a profound impact on traffic congestion in the short, medium and long term. The size and type of impact will depend on two main factors: (1) The level of autonomy1, and (2) the level of adoption of the technology2. First, the driver will have to relinquish more control as the level of autonomy (SAE levels 0-51) increases and therefore, each level will have a different type of impact on crash prevention and traffic congestion2. Second, and important for this project, the rate of user adoption is expected to become universal; so understanding adoption practices is essential to better estimate its effect on congestion.
Goal: This project will obtain and analyze information on the perceptions, i.e., thoughts, values, believes, and attitudes of 106 younger and middle age drivers pertaining to accepting AV technology and compare it to data already collected on 105 older drivers. Each of the drivers will complete surveys evaluating acceptance/ readiness/ perceptions prior to, and then after riding in an autonomous simulator (Level 4, SAE Guidelines1), and an autonomous shuttle (Level 4, SAE Guidelines1). Practical Significance: This study will make clear the adoption practices of drivers from different age groups (younger, middle-aged, and older). Specifically, via statistical methods we will shed light on the barriers (e.g., discomfort or insecurities) and the facilitators (e.g., readiness or willingness) of each group in adopting the AV technology.