Reports from the United States have analyzed the impact of self-driving vehicles in regards to fatal traffic accidents. The reports have shown that self-driving vehicles could reduce fatalities on the road by 90 percent. Sounds great, right? Unfortunately, there are several things that are impeding the transition to a fully self-driving road.
Recently, a self-driving Uber got into a deadly crash with a pedestrian in Arizona. This is the first known death of a pedestrian by a self-driving vehicle. The Uber vehicle was headed northbound when a 49-year-old woman was struck while pushing a bicycle across the street. She was rushed to the hospital, but sadly succumbed to her injuries and passed away. This incident has resulted in corporations slowing down their road testing and has contributed to the public’s lack of confidence in technology. To read the CTV news article, click here.
Furthermore, these self-driving vehicles have built-in algorithms which may further deter the general public. An example of a built-in algorithm is the ability the car has to avoid a group of pedestrians by driving off the road, thus putting the driver and passengers in the vehicle at risk. The general public will be hesitant on purchasing a vehicle that will put their own life at risk in order to save others.
Theoretically, self-driving vehicles will benefit the public. However, unless they are fully implemented, there will always be human error. For the reasons set out above, there is a significant amount of hesitation in fully adopting these self-driving vehicles.