Abstract
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 people’s behavior in the anchor points to improve the simple algorithm.
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Huang, W. et al. (2010). Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data. In: Cao, L., Feng, Y., Zhong, J. (eds) Advanced Data Mining and Applications. ADMA 2010. Lecture Notes in Computer Science(), vol 6440. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17316-5_34
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DOI: https://doi.org/10.1007/978-3-642-17316-5_34
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