A method for judging the car ownership situation of mobile phone users
A technology for mobile phone users and users, which is applied in the traffic control system of road vehicles, computer components, instruments, etc., can solve the problems such as the difficulty of judging the car ownership situation of mobile phone users, and achieve the goal of avoiding legal authority, reducing costs, and improving rationality Effect
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Embodiment 1
[0030] see figure 1 , in an embodiment of the present invention, a method for judging a mobile phone user's car ownership situation includes the following steps:
[0031] Step A, obtain satellite positioning trajectory data and accelerometer data:
[0032] Specifically, start the satellite positioning module (including the interior of the driving vehicle, on-board smart devices, smart phones, etc.), establish a data connection with the computing terminal through the satellite positioning module, and obtain the satellite positioning latitude, satellite positioning longitude, satellite positioning time, and satellite positioning direction , satellite positioning speed, satellite positioning accuracy, satellite number and other travel data, and at the same time obtain the accelerometer X-axis acceleration, Y-axis acceleration and Z-axis acceleration through the accelerometer module.
[0033] Step B, perform data outlier detection filtering and preprocessing:
[0034] Specifical...
Embodiment 2
[0046] see Figure 1-3 , the difference between this embodiment and embodiment 1 is:
[0047] In this embodiment, step D in embodiment 1 specifically includes the following steps:
[0048] 1) Divide the turn time segment of the itinerary: when the sum of the satellite positioning azimuth angles is greater than a certain angle, it is used as the user's turn data, and all the turn time segments are extracted;
[0049] 2) Feature discovery: Through the analysis of all satellite positioning time segment data, the user's speed, acceleration, and turning can be well described to describe his driving characteristics;
[0050] 3) Variable selection: Through the correlation analysis of the user's itinerary characteristics, the correlation is displayed with the correlation coefficient matrix heat map. It is found that the color is relatively dark, that is, the correlation is weak, so the selected variables are representative. The selected variables are: average speed, maximum speed, m...
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