量化谷歌地图的可持续性影响：盐湖城案例研究
Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City
摘要：
谷歌地图使用当前和历史交通趋势为驾驶员提供路线。在本文中，我们使用微观交通模拟，以量化的改善旅行时间和CO $_2$排放量从谷歌地图实时导航。盐湖城的一项案例研究表明，谷歌地图用户平均节省了1.7%的CO $_2$排放量和6.5%的旅行时间。如果我们仅限于谷歌地图发现与原始路线不同的路线的用户，则平均节省3.4%的CO $_2$排放量和12.5%的旅行时间。该等结果乃基于新型冠状病毒疫情期间观察到的交通状况。随着交通拥堵逐渐恢复到疫情前的水平，预计将导致更大的减排。
英文摘要：
Google Maps uses current and historical traffic trends to provide routes to drivers. In this paper, we use microscopic traffic simulation to quantify the improvements to both travel time and CO$_2$ emissions from Google Maps real-time navigation. A case study in Salt Lake City shows that Google Maps users are, on average, saving 1.7% of CO$_2$ emissions and 6.5% travel time. If we restrict to the users for which Google Maps finds a different route than their original route, the average savings are 3.4% of CO$_2$ emissions and 12.5% of travel time. These results are based on traffic conditions observed during the Covid-19 pandemic. As congestion gradually builds back up to pre-pandemic levels, it is expected to lead to even greater savings in emissions.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
