Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data

摘要：

In everyday life, people spend most of their time in some routine places such as the living places(origin) and working places(destination). We define these locations as anchor points. The anchor point information is important to the city planning, transportation management and optimization. Traditional methods of anchor points seeking mainly based on the data obtained from the sample survey or link volumes. The defects of these methods such as low sample rate and high cost make it difficult for us to study on the large crowd in the city.In recent years, with the rapid development of wireless communication, mobile phones have becoming more and more popular. In this paper, we proposed a novel approach to obtain the anchor points of the large urban crowd based on the mobile billing data. In addition, we took advantage of the spatial and temporal patterns of peoples behavior in the anchor points to improve the simple algorithm.

关键词： mobile phone anchor point OD information spatial-temporal pattern large crowd

作者: Wenhao Huang Zhengbin Dong Nan Zhao Hao Tian Guojie Song Guanhua Chen Yun Jiang Kunqing Xie

作者单位: Key Laboratory of Machine Perception Ministry of Education,Peking University Beijing 100871 China

会议类型: 国际会议

会议名称: 6th International Conference on Advanced Data Mining and Applications(第六届先进数据挖掘及应用国际会议 ADMA 2010)

会议地点: 重庆

会议语种:英文

页码: 346-357

在线出版日期: 2010-11-19（万方平台首次上网日期，不代表论文的发表时间）