The Adoption Appraisal of Autonomous Vehicles

This paper presents an application of the multi-attribute decision making (MADM) methodology, intended to determine the levels of the adoption of autonomous vehicles (AV). We have used results of the survey conducted in Saudi Arabia as inputs for MADM. Our approach is based on fuzzy logic, and it incorporates criteria identified by survey responses that influence degree of the new technology acceptance. These criteria are related to the positive outcomes, like reduction of air pollution, environmental sustainability, efficiency and effectiveness of new transport systems and negative issues like high cost and associated risks of the automation. The survey was conducted in Saudi Arabia, where a new futuristic, smart, megacity is being launched. It will be powered by renewable energy with zero emission. We aim to establish if the community, businesses and government are ready to adopt new autonomous driving technology. The model can be used in various applications reliant on multi-attribute constraints, envisioned to obtain a resolution that satisfies all restraints. Results attained by using this methodology and survey were updated considering COVID-19 outbreaks, trends and known impacts on this adoption which is expected to have.