Cross Impact Balance Analysis of Driverless Car's Actors by Foresight Method

Movement is basically guaranteed by three components of the system, such as the vehicle, the driver, and the transportation infrastructure. Over time, vehicles and infrastructure have made significant progress through technological improvements. But the only constant component of this system, which is still dangerous due to human limitations in driving is human. The proposed human solution to solve this component is the use of autonomous vehicle or driverless car. Therefore, the purpose of this study is the cross influence analysis of actors on the effective factors of autonomous vehicle or driverless car technologies so that by focusing on them, appropriate arrangements can be made for this technology. According to the problem paradigm, the methodology is qualitative, and the method of doing it is foresight, and the research population is experts in related industries. MACTOR software was used for analysis. The results of the research showed that actors such as the Ministry of Communications and Information Technology, and the Ministry of Roads and Urban Development, according to their position in the diagram, are part of the reflection and key variables. These variables have a high influence on the system and high dependence of the system. According to the results, since the driverless car is a technology that will have social, cultural and technological effects on the future, with the created clustering, it is possible to have an appropriate policy in implementing this technology.