Commuter Count: Inferring Travel Patterns from Location Data

Nathan Musoke,Emily Kendall, Mateja Gosenca, Lillian Guo,Lerh Feng Low, Angela Xue,Richard Easther

arXiv (Cornell University)(2023)

引用 0|浏览1
暂无评分
摘要
In this Working Paper we analyse computational strategies for using aggregated spatio-temporal population data acquired from telecommunications networks to infer travel and movement patterns between geographical regions. Specifically, we focus on hour-by-hour cellphone counts for the SA-2 geographical regions covering the whole of New Zealand. This Working Paper describes the implementation of the inference algorithms, their ability to produce models of travel patterns during the day, and lays out opportunities for future development.
更多
查看译文
关键词
travel patterns,commuter count,location data
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要