Public transit passenger flow trajectory real-time tracking method based on big data
A bus and data technology, applied in data processing applications, instruments, forecasting, etc., can solve problems such as high cost, inability to quickly reflect daily changes in bus passenger flow, and inability to monitor hidden dangers, and achieve scientific results
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[0025] In order to make the present invention more comprehensible, preferred embodiments are described in detail as follows.
[0026] to combine figure 1 , the present invention provides a kind of method based on public transport payment data and GPS data real-time detection bus passenger flow congestion level information, and its steps are:
[0027] Step 1. Collect the historical data of the last month every month, comprehensively judge and count the boarding and alighting stations of each card swiping data, form and update the regular bus boarding and boarding table and the boarding table of each bus line and station every month.
[0028] Step 1.1. Collect historical data and judge the boarding station. For the method of judging the boarding station, please refer to step 2;
[0029] Step 1.2. Investigate the city's local bus service level and residents' travel expectations, and set the farthest transfer distance D_TRANSFER max and the maximum time T_TRANSFER max .
[003...
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