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.
翻译:导航应用程序使用航道算法来提出到达用户理想目的地的最佳途径。 虽然航行应用程序对城市环境的影响(例如二氧化碳排放和人口受污染)无疑是有用的,但这种影响在很大程度上还不清楚。 在这项工作中,我们设计了一个模拟框架来评估航道算法对城市环境中二氧化碳排放的影响。我们使用TomTom和OpenStreetMap的APIS,发现所有车辆或其中任何车辆都遵循导航应用程序建议的环境在二氧化碳排放方面造成最坏的影响。相反,只要只有一部分车辆(大约一半)遵循这些建议,并且将某种程度的随机性加到其余车辆的路径上,我们观察到公路网络上二氧化碳排放总量的减少。我们的工作是朝着设计下一代航道原则迈出的第一步,这可能会在满足个人需求的同时提高城市福祉。