The objective of the present Diploma Thesis is to investigate traveller acceptance of Flying Autonomous Vehicles in Greece, as well as the identification of the most significant factors affecting that decision. On that purpose, a questionnaire-based stated-preference survey was carried out including hypothetical scenarios of cost, time, and comfort, answered by 193 travellers. Logistic regression (multinomial and binary) were developed and through the respective utility functions, a mathematical description of the drivers’ attitude towards autonomous vehicles was extracted. Results show that the of acceptance mostly depends on the cost, time, comfort, choices, habits and demographics of Greek travellers. Faster and cheaper trips together with higher technology culture lead to higher acceptance of flying autonomous vehicles.
|Tags||automation, intelligent systems, statistical modelling, survey, traffic automation|