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Found 4 papers, 0 papers with code
A Slow-Shifting Concerned Machine Learning Method for Short-term Traffic Flow Forecasting
However, a crucial challenge in traffic flow forecasting is the slow shifting in temporal peaks between daily and weekly cycles, resulting in the nonstationarity of the traffic flow signal and leading to difficulty in accurate forecasting.
Clustering and Analysis of GPS Trajectory Data using Distance-based Features
We propose a new mobility metric, Daily Characteristic Distance, and use it to generate features for each user together with Origin-Destination matrix features.
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data
Information about the spatiotemporal flow of humans within an urban context has a wide plethora of applications.
Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining
In this paper, therefore, we propose a comprehensive data analysis framework to fully analyze the collected probe requests to extract three types of patterns related to crowd behaviors in a large social event, with the help of statistics, visualization, and unsupervised machine learning.
