According to the advancements in the field of automation, the current human-driven vehicles will soon be replaced with the self-driven vehicles. The autonomous cars are predicted to be successful on roads with respect to safety as they will eradicate road accidents caused by the carelessness of the drivers. Before the introduction of highly autonomous/fully autonomous cars on the roads, it is the need of the time to evaluate the factors that will persuade the people to buy autonomous cars once they are available in the market. This research intends to find the factors with respect to safety of autonomous cars that will affect the shift of mode from conventional vehicles to autonomous vehicles for the city of Munich. For this purpose, an online survey questionnaire was designed and distributed among the residents of the city. Ordinal logistic regression models and Factor analysis models based on the important variables selected from the questionnaire were developed and later interpreted. The results indicate that age, gender and employment are the demographic factors that influence the decision of the respondents. The preference of the mode of automation and drunk driving are the other common factors from both models that impact the decisions of the people to shift towards autonomous cars. In addition, the safety of autonomous cars and the likelihood of elimination of accidents with their introduction were also calculated and interpreted with the help of the model output.
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According to the advancements in the field of automation, the current human-driven vehicles will soon be replaced with the self-driven vehicles. The autonomous cars are predicted to be successful on roads with respect to safety as they will eradicate road accidents caused by the carelessness of the drivers. Before the introduction of highly autonomous/fully autonomous cars on the roads, it is the need of the time to evaluate the factors that will persuade the people to buy autonomous cars once t...
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