Abstract
Crowd flow analysis is a important part of urban computing, which is playing an vital role in urban plan and management. This paper addresses the challenges in current population flow analysis. We propose a user space dynamic discovery method based on graph signal model. Taking the base station as a spatial node, the spatial dependence relationship between the nodes is modeled as a spatial network map. The spectral wavelet operator is applied to the spatial map signal to generate wavelet coefficients on different wavelet scales. The simulation results, show that our scheme can be used for valuable information such as the origin, spread and span of population mobility.
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Wang, Z., Jiang, H., Zhao, X., Zeng, Y., Zhang, Y., Du, W. (2019). A Space Dynamic Discovery Scheme for Crowd Flow of Urban City. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2019. Lecture Notes in Computer Science(), vol 11910. Springer, Cham. https://doi.org/10.1007/978-3-030-34139-8_17
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DOI: https://doi.org/10.1007/978-3-030-34139-8_17
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