Dynamic scheduling method based on public transport passenger flow and inter-station journey time prediction
A technology of travel time and dynamic scheduling, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as slowing down of vehicle speed, backward overall technology, and limited number of vehicles
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[0030] 1. Overall design
[0031] The overall design concept of the present invention is: through relevant mathematical models, predict bus passenger flow and travel time between stations, and realize the generation of a peak period scheduling method that changes with passenger flow and travel time. Firstly, the line passenger flow based on the bus swiping card data and the analysis method of the travel time based on the bus GPS data are described, and then the improved gray Markov model for the station passenger flow prediction and the bus travel time based on the BP neural network based on the L-M algorithm are established. The prediction model is used to analyze the road congestion according to the predicted travel time results; finally, the bus departure interval model is established and a reasonable and effective peak-hour scheduling method is proposed. figure 1 is the overall flow chart.
[0032] 2. Bus passenger flow analysis and statistics
[0033] Urban public trans...
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