Bus crowdedness degree estimation method based on mobile phone sensor
A technology of congestion level and sensors, applied in the input/output process of data processing, instruments, forecasting, etc., can solve the problems of inability to guarantee the clarity of image data, impossibility of camera equipment, impracticality, etc.
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[0037] The bus congestion degree estimation based on group intelligence and hierarchical learning proposed by the present invention is a high-precision and stable scheme for estimating the congestion degree on a certain bus. figure 1 Showed the overall workflow of the present invention, figure 2 It is the workflow of data acquisition and preprocessing, image 3 is the workflow of the action recognition process for the sensor data of each passenger participating in the perception, Figure 4 is the workflow of gait recognition after the action recognition process, Figure 5 is the walking model diagram of the step estimation process in gait recognition, Figure 6 is the workflow of the passive sensing process.
[0038] In order to make the object, technical solution and beneficial effects of the present invention clearer, the present invention will be described in detail below in conjunction with the accompanying drawings.
[0039] One, at first introduce the brief method f...
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