Canadian engineers have developed an algorithm to limit injuries and damage in accidents involving AVs. Their model prescriptive control (MPC) algorithm analyses available options and chooses the best action. The engineers said they had considered an AV’s traffic environment including pedestrians, other vehicles and other objects. Engineers in Canada have developed decision-making and motion-planning technology to limit injuries and damage when autonomous vehicles are involved in accidents with pedestrians. “While we are not aware of any crashes that resulted from a collision with an autonomous vehicle, our research shows that AV systems can be safer than human drivers,” said Dr. David Clarke, director of He said safety would improve, but AVs would face too many uncertainties to handle them all. Khajepour said the system could be installed when ethical regulations for AVs had been agreed.
Canadian engineers have developed an algorithm to limit injuries and damage in accidents involving AVs. Their model prescriptive control (MPC) algorithm analyses available options and chooses the best action. The engineers said they had considered an AV’s traffic environment including pedestrians, other vehicles and other objects. “While we are not aware of any crashes that resulted from a collision with an autonomous vehicle, our research shows that AV systems can be safer than human drivers,” said Dr. David Clarke, director of He said safety would improve, but AVs would face too many uncertainties to handle them all. Khajepour said the system could be installed when ethical regulations for AVs had been agreed.