Method for dynamically generating bus timetables on basis of Bayesian network models
A Bayesian network, dynamic generation technology, applied in the field of public transportation informatization, can solve the problem of inability to solve the chain reaction process of dynamic changes of public transportation schedules and other problems
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[0043] Further description will be made below in conjunction with the accompanying drawings provided by the present invention:
[0044] Such as figure 1 As shown, the present invention provides a kind of dynamic generation method of bus timetable based on Bayesian network model, according to the process of traffic event occurrence, development and evolution, builds the two-layer microcosmic and macroscopic Bayesian network model of dynamic generation of bus timetable , to analyze the cause of the imbalance between transport capacity and traffic volume that affects the dynamic generation of bus timetables, take external environmental factors as input, analyze how they affect passenger flow or travel time changes, and then how to cause the imbalance between bus transport capacity and traffic volume, the output is The result of the maximum matching capacity of the timetable. The control input can control the change of some states. Based on this, the external environmental condit...
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