城市地区最健康的路线

David Hasenfratz, Tabita Arn, Ivo de Concini, O. Saukh, L. Thiele
{"title":"城市地区最健康的路线","authors":"David Hasenfratz, Tabita Arn, Ivo de Concini, O. Saukh, L. Thiele","doi":"10.1145/2737095.2737135","DOIUrl":null,"url":null,"abstract":"The availability of novel, high-resolution pollution maps enables a wide range of new application scenarios, which were not possible before. In this paper, we combine high-resolution pollution maps available for the city of Zurich, Switzerland, with road network data to analyze how much urban dwellers can reduce their exposure to air pollution by not taking the shortest path between origin and destination but a healthier and slightly longer alternative route. We introduce a new weight function to assess the exposure on each street segment and evaluate the benefits of the healthier path. Finally, we efficiently implement the algorithm as stand-alone application for iOS and Android devices. The app helps city residents to understand and reduce their exposure to air pollutants.","PeriodicalId":318992,"journal":{"name":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Health-optimal routing in urban areas\",\"authors\":\"David Hasenfratz, Tabita Arn, Ivo de Concini, O. Saukh, L. Thiele\",\"doi\":\"10.1145/2737095.2737135\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The availability of novel, high-resolution pollution maps enables a wide range of new application scenarios, which were not possible before. In this paper, we combine high-resolution pollution maps available for the city of Zurich, Switzerland, with road network data to analyze how much urban dwellers can reduce their exposure to air pollution by not taking the shortest path between origin and destination but a healthier and slightly longer alternative route. We introduce a new weight function to assess the exposure on each street segment and evaluate the benefits of the healthier path. Finally, we efficiently implement the algorithm as stand-alone application for iOS and Android devices. The app helps city residents to understand and reduce their exposure to air pollutants.\",\"PeriodicalId\":318992,\"journal\":{\"name\":\"Proceedings of the 14th International Conference on Information Processing in Sensor Networks\",\"volume\":\"11 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th International Conference on Information Processing in Sensor Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2737095.2737135\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 14th International Conference on Information Processing in Sensor Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2737095.2737135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

新型、高分辨率污染地图的可用性使各种新的应用场景成为可能,这在以前是不可能的。在本文中,我们将瑞士苏黎世市的高分辨率污染地图与道路网络数据结合起来,分析城市居民通过不走出发地和目的地之间的最短路径,而是走一条更健康、稍长的替代路线,可以减少多少空气污染。我们引入了一个新的权重函数来评估每个街道段的暴露,并评估更健康的路径的好处。最后,我们在iOS和Android设备上有效地实现了该算法的独立应用程序。该应用程序帮助城市居民了解并减少他们对空气污染物的暴露。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Health-optimal routing in urban areas
The availability of novel, high-resolution pollution maps enables a wide range of new application scenarios, which were not possible before. In this paper, we combine high-resolution pollution maps available for the city of Zurich, Switzerland, with road network data to analyze how much urban dwellers can reduce their exposure to air pollution by not taking the shortest path between origin and destination but a healthier and slightly longer alternative route. We introduce a new weight function to assess the exposure on each street segment and evaluate the benefits of the healthier path. Finally, we efficiently implement the algorithm as stand-alone application for iOS and Android devices. The app helps city residents to understand and reduce their exposure to air pollutants.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信