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

S. Ryu, Hyejoo Kim
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引用次数: 2

摘要

本研究以利用LTE信号收集的位置信息为基础,分析了首都圈(首尔、京畿、仁川)不同时间段的交通流量变化。从京畿或仁川到汉城的通勤时间为66分钟,比在汉城市内通勤的人(44 ~ 46分钟)多1.4 ~ 1.5倍。据确认,首尔地区的平均时速为31.0公里。在首尔地区居住和工作的人周一上班所用时间为45.2分钟,在京畿和仁川地区居住和工作在首尔的人周一上班所用时间为69.2分钟,是所有工作日中最长的。对首尔市内各时区的平日交通速度进行分析的结果显示,夜间的速度最高,为35.1公里,其次是午餐时间(32.1公里)、早高峰时间(29.3公里)、下班高峰时间(28.6公里)。通过对平日交通速度随白天时间流变化情况的研究,发现早高峰交通拥堵高峰在08:30为29.4km/h,停高峰高峰期在18:10为29.5km/h。从19:10开始,我们可以看到上下班高峰期的交通拥堵开始缓解。与本研究类似,基于LTE信号的移动和停留分析可用于构建生活日志,如交通、文化和生活模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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