Implementation of Technology Strategy for Autonomous Vehicle Technologies by Attractiveness and Capability Matrix Approach

One of the main causes of accidents in current cars are drivers, which can be caused by human limitations such as vision, fatigue and distraction. One of the ways to reduce these accidents is to remove the driver from driving. Another challenge of cars is the issue of pollution. For example, more than 90% of carbon monoxide gas is one of the most important air pollutants produced by motor vehicles in Tehran. Therefore, the autonomous vehicle or driverless car is being designed and developed in recent years in developed countries, which can reduce accidents and reduce pollution. Considering the need of autonomous vehicle like any other advanced technologies for technological, social, economic and managerial infrastructures, it is necessary to provide this preparation from now on. The purpose of this research was to compile a technology strategy for the key technologies of autonomous vehicle. The research method was such that after identifying the key technologies of the autonomous vehicle, and forming the attractiveness matrix and capability matrix for these technologies, a technology strategy was prepared for them. The result of the research was that a technology strategy was prepared for 40 technologies. According to the placement areas of these technologies in four different sections of the diagram, different analysis was done for them. For example, in the first area of this diagram, it was determined that 8 out of 40 autonomous vehicle technologies will have high capability and high attractiveness. Their names are as follows: artificial intelligence technology, car cognitive internet technology, fifth generation internet technology for connected autonomous vehicles, internet of things technology in the automotive industry, Blockchain technology platform, technologies related to electric cars, improving the advanced driver assistance system and navigation control module technology. In the second area of this diagram, there are 26 technologies with high capability and low attractiveness, and in the fourth area, there are 6 technologies with low capability and low attractiveness. Also, in the research process, in addition to the main result of the research, other sub results were also obtained. The main objectives autonomous vehicles, the identified technologies of the autonomous vehicle, the technology attractiveness matrix and also the capability matrix were among the sub results of this research. The results of this research can be useful for preparing organizations related to autonomous vehicle technology in the future for development in Iran or even for importing autonomous vehicle technology from industrialized countries.