Fuzzy-control-based self-adaptive adjustment method for spatial-temporal scale parameters of online car-hailing scheduling system

The invention discloses a fuzzy control-based self-adaptive adjustment method for spatio-temporal scale parameters of an online car-hailing scheduling system. The model comprises a comparator, a controller, an actuator and a feedback loop. The invention provides an input data preprocessing method from a deviation value to an input value and a model output data conversion method from an output value to an adjustment value. For a feedback loop, three feedback indexes including the driver and passenger matching success rate, the average waiting duration and the average order receiving distance are provided. Based on the model method, adaptive adjustment and optimization of spatial-temporal scale parameters along with dynamic changes of supply and demand scenes can be realized. 本发明公开了一种基于模糊控制的网约车调度系统时空尺度参数自适应调节方法。该模型包含一个比较器、一个控制器、一个执行器和一个反馈回路。本发明提出了由偏差量到输入量的输入数据预处理方法，以及输出量到调整量的模型输出数据转换方法。针对反馈回路，本发明提出了包括司乘匹配成功率、平均等待时长、平均接单距离在内的三个反馈指标。基于上述模型方法，能够实现对时空尺度参数随供需场景动态变化而变化的自适应调节优化。