{"title":"利用蓝牙检测行人流量,寻找疏散路线","authors":"Miku Hoshino, Masaki Ito, K. Sezaki","doi":"10.1145/3004725.3004726","DOIUrl":null,"url":null,"abstract":"This paper focuses on the study of detecting real-time pedestrian flow by using Bluetooth on smartphones to show evacuation route. When a natural disaster strikes, knowing real-time accurate pedestrian density and flow in wide range is very important to lead people to the safe places. Evacuation route can be calculated by agent-based simulation and the real-time pedestrian flow. One promising way to detect real-time pedestrian density and flow is mobile sensing. With devices the evacuee have, the pedestrian density of near area can be detected. In this paper, we introduce the method of detecting pedestrian density and propose how to apply this method to a disaster for solving crowded situation.","PeriodicalId":154980,"journal":{"name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Pedestrian flow detection using Bluetooth for evacuation route finding\",\"authors\":\"Miku Hoshino, Masaki Ito, K. Sezaki\",\"doi\":\"10.1145/3004725.3004726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focuses on the study of detecting real-time pedestrian flow by using Bluetooth on smartphones to show evacuation route. When a natural disaster strikes, knowing real-time accurate pedestrian density and flow in wide range is very important to lead people to the safe places. Evacuation route can be calculated by agent-based simulation and the real-time pedestrian flow. One promising way to detect real-time pedestrian density and flow is mobile sensing. With devices the evacuee have, the pedestrian density of near area can be detected. In this paper, we introduce the method of detecting pedestrian density and propose how to apply this method to a disaster for solving crowded situation.\",\"PeriodicalId\":154980,\"journal\":{\"name\":\"Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems\",\"volume\":\"58 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-10-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3004725.3004726\",\"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 5th ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3004725.3004726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pedestrian flow detection using Bluetooth for evacuation route finding
This paper focuses on the study of detecting real-time pedestrian flow by using Bluetooth on smartphones to show evacuation route. When a natural disaster strikes, knowing real-time accurate pedestrian density and flow in wide range is very important to lead people to the safe places. Evacuation route can be calculated by agent-based simulation and the real-time pedestrian flow. One promising way to detect real-time pedestrian density and flow is mobile sensing. With devices the evacuee have, the pedestrian density of near area can be detected. In this paper, we introduce the method of detecting pedestrian density and propose how to apply this method to a disaster for solving crowded situation.