论文标题
路线策略如何影响城市排放
How Routing Strategies Impact Urban Emissions
论文作者
论文摘要
导航应用程序使用路由算法建议到达用户所需目的地的最佳路径。尽管无疑有用，但导航应用程序对城市环境的影响（例如，二氧化碳排放和污染的人口暴露）仍然在很大程度上不清楚。在这项工作中，我们设计了一个模拟框架，以评估路由算法对城市环境中二氧化碳排放的影响。使用TomTom和OpenStreetMap的API，我们发现所有车辆或任何车辆均未遵循导航应用程序的建议导致二氧化碳排放量最大的影响。相反，当仅一部分（大约一半）的车辆遵循这些建议，并且在其余车辆的路径中添加了一定程度的随机性时，我们观察到路线上的总CO2排放量的减少。我们的工作是设计下一代路线原则的第一步，这些路线可能会增加城市福祉，同时满足个人需求。
Navigation apps use routing algorithms to suggest the best path to reach a user's desired destination. Although undoubtedly useful, navigation apps' impact on the urban environment (e.g., carbon dioxide emissions and population exposure to pollution) is still largely unclear. In this work, we design a simulation framework to assess the impact of routing algorithms on carbon dioxide emissions within an urban environment. Using APIs from TomTom and OpenStreetMap, we find that settings in which either all vehicles or none of them follow a navigation app's suggestion lead to the worst impact in terms of CO2 emissions. In contrast, when just a portion (around half) of vehicles follow these suggestions, and some degree of randomness is added to the remaining vehicles' paths, we observe a reduction in the overall CO2 emissions over the road network. Our work is a first step towards designing next-generation routing principles that may increase urban well-being while satisfying individual needs.
