近期关于no servers的讨论持续升温。我们从海量信息中筛选出最具价值的几个要点,供您参考。
首先,19 Mar 2034774452781658566
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第三,The Waymo safety impact research uses several approaches to align the driving conditions between the human benchmark and Waymo driving: (a) using human data from the counties where Waymo operates and (b) a location-based, dynamic benchmark adjustment. Driving is different in different cities, and not all roads or driving conditions are equally risky. To capture the local crash risk, Waymo’s safety impact research uses state-maintained crash and vehicle miles traveled (VMT) data sources restricted to the counties where Waymo currently operates. Even within a county, human crash rates differ based on what part of the county you drive in. Generally, more dense areas of cities have higher crash rates than less densely populated areas. To capture this effect, Waymo’s safety impact results use a dynamic benchmark adjustment that weights the human benchmark proportionally to the miles the Waymo service drives in each area (see Kusano et al., 2025 and Chen et al., 2025, for details). By comparing Waymo driving to benchmark driving from the same locations, many of the driving condition effects are implicitly accounted for. Our research has shown that crash rates vary substantially by geographic location, which is why we suggest against using a national average benchmark to compare with Waymo’s driving.
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展望未来,no servers的发展趋势值得持续关注。专家建议,各方应加强协作创新,共同推动行业向更加健康、可持续的方向发展。