This study focused on identifying customerś real-life experiences, perceptions and feelings about travelling in different autonomous vehicles and in various operating conditions in Finland in 2018. Quantitative convenience sample (n = 141) were collected from passengers travelling on an autonomous shuttle bus in Helsinki. Qualitative data (n = 70) were gathered by interviewing passengers of a driverless shuttle bus in Helsinki and passengers of an autonomous car in winter conditions in Lapland. This research was first one which included passengers’ real-life experiences after using autonomous vehicles in winter conditions. We applied the Theory of Planned Behaviour. The research questions were (a) What beliefs about outcomes and evaluation of outcomes do passengers have and carry out when they travel in an autonomous vehicle, irrespective of vehicle type or operating conditions? (b) What key factors influence people’s positive or negative attitudes towards autonomous vehicles? (c) What key factors could induce people to use autonomous vehicles? The quantitative data were analysed by nonparametric Kruskal-Wallis H test and qualitative data by inductive content analysis. According to the results, trust, safety and security were the main factors influencing people’s positive attitudes towards using autonomous vehicles. Results from passengers travelling in heavy winter conditions indicate that winter conditions do not significantly influence passengers’ attitudes towards using autonomous vehicles. There were no significant differences between gender regarding passengers’ perceptions of traffic safety, personal security and emergency management. However, younger passengers felt their personal security on board to be significantly better than older and students their possibilities to act in a case of emergency significantly better than employed people.

这项研究的重点是确定客户在2018年在芬兰使用不同的自动驾驶汽车和在各种运行条件下的真实生活体验，感知和感觉。从在赫尔辛基乘坐自动穿梭巴士旅行的乘客中收集了方便性定量样本（n = 141） 。通过采访赫尔辛基无人穿梭巴士的乘客和拉普兰冬季条件下的无人驾驶汽车的乘客，收集了定性数据（n = 70）。这项研究是第一个包含乘客在冬季条件下使用自动驾驶汽车后的真实生活经历的研究。我们应用了计划行为理论。研究的问题是（a）乘客乘坐自动驾驶汽车时对结局和结局的评价有什么看法，不论车辆类型或操作条件如何？（b）哪些关键因素影响人们对自动驾驶汽车的正面或负面态度？（c）哪些关键因素会诱使人们使用自动驾驶汽车？通过非参数Kruskal-Wallis H检验分析定量数据，通过归纳含量分析分析定性数据。根据调查结果，信任，安全和保障是影响人们对使用自动驾驶汽车的积极态度的主要因素。在严冬条件下旅行的乘客的结果表明，冬天条件不会显着影响乘客对使用自动驾驶汽车的态度。在乘客对交通安全，人身安全和应急管理的看法上，性别之间没有显着差异。然而，