Abstract. The introduction of autonomous vehicles is imminent and, their integration into the mass market is poised to bring about a transformation in the automotive industry. The integration of artificial intelligence in these vehicles holds the promise of a reduction in fatalities and CO2 emissions, among other benefits. Moreover, the automation of driving tasks allows users to utilize their commuting time for other purposes and can use their commuting time for other activities. However, despite these advantages, numerous studies show that potential users have reservations about this technology. Acceptance of autonomous vehicles depends on various factors, but trust is particularly important. If users trust the vehicle, it has a positive effect on their attitude and intention to use it. Despite the recognized importance of trust, there is limited knowledge on how trust is built in autonomous vehicles. Our study proposes and tests a trust model specifically adapted for autonomous vehicles, examining the factors that influence trust formation through a survey of over 400 participants. Our research provides new insights into the dynamics of the trust-building process in autonomous driving.