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原文
Ethan Mollick@emollick
39
2026-07-12 22:04·47分钟前
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AI 摘要

Google 对 Google Maps 中 2% 的车辆路线算法进行修改,优先选择同样快速但避开拥堵区域的路段。实验结果显示,全城平均车速中位数提升约 2%,燃油消耗下降。该研究基于 Google 在《自然·城市》发表的论文,通过引导车辆避开预设拥堵路段,在不显著增加个体行程时间的前提下,实现了整体交通效率的优化。

When Google altered the routing system for 2% of cars using Google Maps to prefer routes that are just as fast but avoided areas that are congested it increased speeds and decreased fuel consumption for all cars across the city.

Abhishek Nagarajever wondered if @googlemaps will route different people differently to lower overall congestion? turns out - they have been experimenting with this based on th...
Google论文/研究
在 X 查看原推导出 Markdown
Ethan Mollick@emollick · X
39导出 Markdown
2026-07-12 22:04·47分钟前
在 X 看原推· x.com
AI 摘要

Google 对 Google Maps 中 2% 的车辆路线算法进行修改,优先选择同样快速但避开拥堵区域的路段。实验结果显示,全城平均车速中位数提升约 2%,燃油消耗下降。该研究基于 Google 在《自然·城市》发表的论文,通过引导车辆避开预设拥堵路段,在不显著增加个体行程时间的前提下,实现了整体交通效率的优化。

When Google altered the routing system for 2% of cars using Google Maps to prefer routes that are just as fast but avoided areas that are congested it increased speeds and decreased fuel consumption for all cars across the city.

Abhishek Nagarajever wondered if @googlemaps will route different people differently to lower overall congestion? turns out - they have been experimenting with this based on th...
Google论文/研究
在 X 查看原推
x.com