
面向未来的“三堂课”:如何实现更安全更高效的自动驾驶
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。
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.