{"title":"利用LTE信号分析移动和停留模式:以首尔市内的交通状况日夜变化为中心","authors":"S. Ryu, Hyejoo Kim","doi":"10.1109/INFOC.2017.8001664","DOIUrl":null,"url":null,"abstract":"In this study, Based on the location information collected based on LTE Signal, we analyzed the changes in traffic flow by day of the week and the time zone in the greater Seoul metropolitan area (Seoul/Gyeonggi/Incheon). In the case of workers who commute to Seoul from Gyeonggi or Incheon, the time required to commute is about 66 minutes, which is about 1.4∼1.5 times higher than the 44∼46 minutes consumed by workers who commute within Seoul. The average speed of traffic in Seoul jurisdictional area was confirmed to be 31.0km/h. Those who live and work in the Seoul area took 45.2 minutes for going to work on Monday, and those who live in Gyeonggi or Incheon and work in Seoul took 69.2 minutes for going to work on Monday, which was the longest among all weekdays. In the analysis of weekday traffic speed in Seoul by time zones, it was the fastest at 35.1km/h at nighttime, followed by lunch time (32.1km/h), morning rush hour (29.3km/h), and quitting rush hour (28.6km/h). As a result of examining the change of traffic speed according to daytime time flow on weekdays, the peak of traffic congestion on morning rush hour was recorded at 29.4km/h at 08:30 and peak on quitting rush hour was 29.5km/h at 18:10. From 19:10 onwards, we can see that traffic congestion of quitting rush hour begins to ease. Likewise this study, the LTE signal-based movement and stay analysis can be used to construct lifelogs such as traffic, culture, and life patterns.","PeriodicalId":109602,"journal":{"name":"2017 International Conference on Information and Communications (ICIC)","volume":"59 14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of movement and stay pattern using LTE signal: Focusing on changes of traffic conditions by day and time in Seoul city\",\"authors\":\"S. Ryu, Hyejoo Kim\",\"doi\":\"10.1109/INFOC.2017.8001664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this study, Based on the location information collected based on LTE Signal, we analyzed the changes in traffic flow by day of the week and the time zone in the greater Seoul metropolitan area (Seoul/Gyeonggi/Incheon). In the case of workers who commute to Seoul from Gyeonggi or Incheon, the time required to commute is about 66 minutes, which is about 1.4∼1.5 times higher than the 44∼46 minutes consumed by workers who commute within Seoul. The average speed of traffic in Seoul jurisdictional area was confirmed to be 31.0km/h. Those who live and work in the Seoul area took 45.2 minutes for going to work on Monday, and those who live in Gyeonggi or Incheon and work in Seoul took 69.2 minutes for going to work on Monday, which was the longest among all weekdays. In the analysis of weekday traffic speed in Seoul by time zones, it was the fastest at 35.1km/h at nighttime, followed by lunch time (32.1km/h), morning rush hour (29.3km/h), and quitting rush hour (28.6km/h). As a result of examining the change of traffic speed according to daytime time flow on weekdays, the peak of traffic congestion on morning rush hour was recorded at 29.4km/h at 08:30 and peak on quitting rush hour was 29.5km/h at 18:10. From 19:10 onwards, we can see that traffic congestion of quitting rush hour begins to ease. Likewise this study, the LTE signal-based movement and stay analysis can be used to construct lifelogs such as traffic, culture, and life patterns.\",\"PeriodicalId\":109602,\"journal\":{\"name\":\"2017 International Conference on Information and Communications (ICIC)\",\"volume\":\"59 14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Information and Communications (ICIC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOC.2017.8001664\",\"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 International Conference on Information and Communications (ICIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOC.2017.8001664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Analysis of movement and stay pattern using LTE signal: Focusing on changes of traffic conditions by day and time in Seoul city
In this study, Based on the location information collected based on LTE Signal, we analyzed the changes in traffic flow by day of the week and the time zone in the greater Seoul metropolitan area (Seoul/Gyeonggi/Incheon). In the case of workers who commute to Seoul from Gyeonggi or Incheon, the time required to commute is about 66 minutes, which is about 1.4∼1.5 times higher than the 44∼46 minutes consumed by workers who commute within Seoul. The average speed of traffic in Seoul jurisdictional area was confirmed to be 31.0km/h. Those who live and work in the Seoul area took 45.2 minutes for going to work on Monday, and those who live in Gyeonggi or Incheon and work in Seoul took 69.2 minutes for going to work on Monday, which was the longest among all weekdays. In the analysis of weekday traffic speed in Seoul by time zones, it was the fastest at 35.1km/h at nighttime, followed by lunch time (32.1km/h), morning rush hour (29.3km/h), and quitting rush hour (28.6km/h). As a result of examining the change of traffic speed according to daytime time flow on weekdays, the peak of traffic congestion on morning rush hour was recorded at 29.4km/h at 08:30 and peak on quitting rush hour was 29.5km/h at 18:10. From 19:10 onwards, we can see that traffic congestion of quitting rush hour begins to ease. Likewise this study, the LTE signal-based movement and stay analysis can be used to construct lifelogs such as traffic, culture, and life patterns.