{"title":"萨格勒布市的空气和噪音污染监测,使用移动人群传感","authors":"M. Marjanović, S. Grubeša, Ivana Podnar Žarko","doi":"10.23919/SOFTCOM.2017.8115502","DOIUrl":null,"url":null,"abstract":"The rapid progress of urbanization is leading to serious air and noise pollution. Therefore, significant research effort is focused on creating a fine-grained pollution and noise maps to identify urban areas with critical negative impact on human health. The traditional measuring methods typically use expensive and static equipment which is not suitable for dynamic urban environments because of the low spatio-temporal density of measurements. On the other hand, the growing popularity of mobile phones, and their technological capabilities, opens a new perspective on citizen-assisted environmental monitoring. In this paper we present a mobile crowdsensing (MCS) solution for air quality and noise pollution monitoring. More specifically, we show a practical experience of a real-world system deployment, from sensor calibration to data acquisition and analysis. Our initial results indicate a correlation between air and noise pollution with higher values during peak hours due to an increased number of vehicles on the streets.","PeriodicalId":189860,"journal":{"name":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"53 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"Air and noise pollution monitoring in the city of Zagreb by using mobile crowdsensing\",\"authors\":\"M. Marjanović, S. Grubeša, Ivana Podnar Žarko\",\"doi\":\"10.23919/SOFTCOM.2017.8115502\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The rapid progress of urbanization is leading to serious air and noise pollution. Therefore, significant research effort is focused on creating a fine-grained pollution and noise maps to identify urban areas with critical negative impact on human health. The traditional measuring methods typically use expensive and static equipment which is not suitable for dynamic urban environments because of the low spatio-temporal density of measurements. On the other hand, the growing popularity of mobile phones, and their technological capabilities, opens a new perspective on citizen-assisted environmental monitoring. In this paper we present a mobile crowdsensing (MCS) solution for air quality and noise pollution monitoring. More specifically, we show a practical experience of a real-world system deployment, from sensor calibration to data acquisition and analysis. Our initial results indicate a correlation between air and noise pollution with higher values during peak hours due to an increased number of vehicles on the streets.\",\"PeriodicalId\":189860,\"journal\":{\"name\":\"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)\",\"volume\":\"53 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/SOFTCOM.2017.8115502\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/SOFTCOM.2017.8115502","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Air and noise pollution monitoring in the city of Zagreb by using mobile crowdsensing
The rapid progress of urbanization is leading to serious air and noise pollution. Therefore, significant research effort is focused on creating a fine-grained pollution and noise maps to identify urban areas with critical negative impact on human health. The traditional measuring methods typically use expensive and static equipment which is not suitable for dynamic urban environments because of the low spatio-temporal density of measurements. On the other hand, the growing popularity of mobile phones, and their technological capabilities, opens a new perspective on citizen-assisted environmental monitoring. In this paper we present a mobile crowdsensing (MCS) solution for air quality and noise pollution monitoring. More specifically, we show a practical experience of a real-world system deployment, from sensor calibration to data acquisition and analysis. Our initial results indicate a correlation between air and noise pollution with higher values during peak hours due to an increased number of vehicles on the streets.