Testing autonomous cars: robot boom can end in chaos

Testing autonomous cars: the struggle for the environment against the oil lobby

Scientists at the University of California conducted the study analyzing the algorithms of automatous cars and their control systems with artificial intelligence (AI). The results were not as rainbow as many people would like.

Recall the developments that Google’s co-founder Larry Page has been working on for over 5 years. The billionaire, getting into traffic jams and being late for meetings, thought about how to unload the roads. The find was on the surface: American families should be offered a solution that would be beneficial and convenient for everyone.

So, self-managed taxi robots from Alphabet Inc. appeared. This technological innovation has met a storm of disapproval from the oil lobby and car manufacturers. Even representatives of Tesla said that they are for drones, but for every family.

Boeing Corporation went its own way. Knowing that most drivers are not ready to become pilots, the consortium offered the world a flying robot car visually resembled something between a drone and a sports plane.

Ideally, autonomous transport will benefit any city. A taxi equipped with AI will arrive on time, will never violate the rules of the road, always choose the best route and at the same time will not release exhaust gases (if we are talking about electric vehicles). However, scientists from California suggest that craving for robots can cause chaos on roads.

Testing autonomous cars led to unexpected results

Investigating the algorithms of the behavior of robotic drivers with artificial intelligence, scientists offered information systems various ways to reduce the price of a trip. One of them – do not pay for parking. Oddly enough, the robots, thanks to machine learning, quickly found a solution – not to stand at all: release the passenger and go further.

Thus, a huge number of taxi-robots moving without a goal will create huge traffic jams and seal traffic. As an argument, scientists cite the figures: an hour of transport costs owners of electric taxis at the average 50 cents. Parking in the city will cost ten times more expensive.

Artificial intelligence also suggested creating traffic jams to go into them slowly or to stand at all. Thus, the task of making the trip as cheap as possible.

The solutions proposed by scientists are to reduce the price of paid parking, and to prohibit austerity taxis by automatic taxis.

Учитывая широкий спектр технических областей, в рамках которых развивается и консультирует Александр Пан, данный ресурс ведется пресс-службой эксперта. В настоящий момент мы постоянно обновляем актуальные темы, входящие в компетенцию Александра - это IT, Искусственный Интеллект, Блокчейн и финансовые разработки. Желаем вам увлекательного чтения и приятного времяпровождения на данном блоге.

Прошлая статья
Online banking service Bud: why have they invested 20 million in it?
Testing autonomous cars: robot boom can end in chaos