The Acceptance of Independent Autonomous Vehicles and Cooperative Vehicle-Highway Autonomous Vehicles

The public’s acceptance of independent autonomous vehicles and cooperative vehicle-highway is studied by combining the structural equation model an artificial neural network. model’s output variables are used as input network, which compensates for linear problem ensures accuracy In order to summarize influencing factors acceptance, Unified Theory Acceptance Use Technology was expanded adding two variables: risk expectation consumer innovation. results show that social influence strongest predictor vehicles. most significant factor vehicles’ effort expectation. Additionally, risks, performance, existing traffic conditions, personal innovation awareness also significantly affect driving acceptance. research can provide a theoretical basis technology developers industry managers develop policymaking.