- According to data, the number of deaths in road traffic accidents in China in 2020 was 16,600, which means that the total number of deaths in traffic accidents in China in 2020 was 75,000.
- Autonomous vehicles do not experience “fatigue”. Utilising comprehensive perception systems, intelligent decision-making systems, and precise execution systems, autonomous vehicles can fully identify various dynamic and static objects on the road, enabling independent decision-making and vehicle operation.
- A vast amount of testing data can effectively reduce the probability of risks occurring.
With the continuous development of artificial intelligence and algorithm technologies, the market for autonomous driving cars is expanding rapidly, and the presence of autonomous vehicles can be seen everywhere. Due to the increasing number of automobile users, issues such as traffic congestion and safety accidents have become more severe. Supported by vehicle-to-everything (V2X) and artificial intelligence (AI) technologies, autonomous driving technology can coordinate travel routes and plan times, significantly improving travel efficiency and reducing energy consumption to some extent. Autonomous vehicles can also reduce safety hazards such as drunk driving and fatigue driving, decrease driver errors, and enhance safety.
The unstability of human
According to data, the number of deaths in road traffic accidents in China in 2020 was 16,600, which means that the total number of deaths in traffic accidents in China in 2020 was 75,000. An official from the Traffic Management Bureau of the Ministry of Public Security once stated that every individual and every vehicle participating in road traffic could have a significant impact on road safety. It can be confirmed that, according to statistics, 90% of road traffic accidents are caused by human error, with distractions, fatigue, drunk driving, and speeding accounting for a considerable proportion. Worldwide, 1.3 million people die in car accidents each year, highlighting the significant role that humans play in causing traffic accidents. Autonomous driving cars will be able to eliminate the majority of accidents caused by human error, effectively leading to a significant reduction in the accident rate.
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Avoiding tiredness
Autonomous vehicles do not experience fatigue. Utilising comprehensive perception systems, intelligent decision-making systems, and precise execution systems, autonomous vehicles can fully identify various dynamic and static objects on the road, enabling independent decision-making and vehicle operation. Autonomous vehicles do not violate traffic rules, experience driver fatigue, drive under the influence of alcohol, or exhibit negligence. This means that autonomous driving will help reduce approximately 90% of accidents, significantly lowering road traffic risks.
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Mature experience
A vast amount of testing data can effectively reduce the probability of risks occurring. For human drivers, it generally takes around five years, with tens of thousands of kilometers driven, to progress from novice to experienced. Prior to hitting the road, autonomous vehicles have already learned from extensive and effective scenario data and driving behavior data, accumulating driving experience equivalent to hundreds of millions of kilometers.
Moreover, while on the road, autonomous vehicles continue to learn and accumulate, contributing to the refinement of safety models and the expansion of adaptation capabilities. This process is accomplished in a shorter time frame and with greater efficiency compared to the time it takes for humans to accumulate experience.
