【行业报告】近期,Iran claims US相关领域发生了一系列重要变化。基于多维度数据分析,本文为您揭示深层趋势与前沿动态。
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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随着Iran claims US领域的不断深化发展,我们有理由相信,未来将涌现出更多创新成果和发展机遇。感谢您的阅读,欢迎持续关注后续报道。