Why autonomous vehicles need a large-systems approach to safety
Existing solutions are limited in their ability to address all the unknowns embedded in the technology or are based on legacy automotive safety regulations
Existing solutions are limited in their ability to address all the unknowns embedded in the technology or are based on legacy automotive safety regulations
无人驾驶汽车(AVs)对于未来交通(或称“流动性问题”)来说有着广阔前景,具有提供更安全、更清洁、更高效、更具包容性的交通运输生态系统的潜力。
Maximizing the promise of self-driving cars will require special approaches and collaborations with technologists and regulators.
To truly maximize these technologies - and keep streets safe - regulators will need to bridge existing governance gaps.
Safe mobility must be redefined beyond reducing vehicular crashes to consider biosafety and public safety, reducing a wider range of risks to drivers and passengers.
Autonomous vehicles could help alleviate the strain on delivery services while reducing the risk of exposure for citizen - if regulations support them.
行驶里程数一直是自动驾驶汽车(AV)的一项重要统计数据:行驶里程数越多,意味着可获得的学习数据越多。 如今自动驾驶汽车的开发者们对数据充满了无限渴望:驾驶次数越多,自动驾驶软件的驾驶能力就越强。
The companies developing self-driving cars have started to make their datasets public - and thats' a huge step towards ensuring that this technology can be made safe.
The age of self-driving cars is at hand, and it is going to revolutionise urban mobility. Cities need to be prepared for the impacts of this technology - here's a guide on how to proceed.