Research is going on to accredit self-driving vehicles to differentiate between “aggressive drivers” and “drivers who obey rules” in approximately two seconds, and use this information to decide how to drive. The aim is to accredit self-driving vehicles to accommodate to unanticipated judgments and actions of humans, and to co-exist with vehicles driven by humans.
Companies are testing self-driving vehicles in different cities. If a person lives in cities like that, they can observe that this vehicle sometimes becomes an “anxious driver”. In states like Arizona, it can sometimes be observed that Weimo’s SUVs carry passengers without human drivers, but people have complained that self-driving vehicles are turning cautiously left or joining at high speeds lately.
As per the information put together by the State of California, rear-end accidents are the most common accidents involving self-driving vehicles. One of the reasons is that the human driver does not expect the self-driving vehicle to stop completely according to traffic rules.
As for human drivers, some people are anxious and cautious, while others are the contradictory. It’s a bit more complex.
Self-driving vehicles are able to make the right decisions more accurately than these people. The only condition is that we know what type of person is driving around us.
Researchers at the Massachusetts Institute of Technology (MIT) and the Delft Institute of Technology, Cognitive Robotics Laboratory, Netherlands have found out ways to instruct this “complexity” to self-driving vehicles. In a paper published in the Proceedings of the National Academy of Sciences on November 18, 2019, the research team described how to differentiate between “aggressive drivers” and “rule-following drivers” in sociology and psychology. It describes how to instruct software of self-driving vehicles by converting it to a form mathematical formula.
Vehicles supplied with this kind of technology can differentiate among the two types of drivers in about two seconds, and can use that data to decide how to drive. This technology has proven that self-driving vehicles have improved their ability to predict the decisions made by the driver and a 25 percent of increase in efficiency in road performance; in addition with tests that include merging of computer test cases can be seen.
Anay Malhotra a qualified computer analyst turned freelancer who writes for Value News where his passion and hard work has earned him a Star Employee for 2 consecutive months. He has been working and exploring varied professionals like Modelling, Event Management and Writing.