SLR Self Driving Taxi

The development of technology in cars is very rapid because it’s assisted by extraordinary technological developments. Artificial Intelligence is a sophisticated system that really helps our lives, including the development of car technology. With AI, many things that previously had to be done manually can now be automated. Including vehicles for public transportation like taxis. Usually, a taxi must have a driver who picks us up and takes us. However, technological developments starts to take us towards full-autonomous taxis or driver-less taxis. For this reason, this research paper conduct a Systematic Literature Review (SLR) which discusses the implementation of a full-autonomous driving system in taxis. In this SLR, we will answer three research questions. Those are, What kind of AI algorithms that are most widely used in full-autonomous driving systems; What is the impact of autonomous taxis on the security and safety of other road users; and What is the impact of the use of autonomous taxis on urban transportation. These research questions will be answered using the PRISMA method. As a result, we found that the AI algorithms most frequently used in full-autonomous driving systems are Machine Learning and Deep Neural Networks. Meanwhile for autonomous taxis with the safety of other road users, safety features, prevention, and cooperation of the system with sensors have produced good results by maintaining the safety of pedestrians and other road users. For conclusion in this paper, we conclude that the use of autonomous taxis could bring efficiency in the public transportation sector