城市出租汽车需求量预测模型及应用

Prediction model and application for urban taxi demand capability

分析了我国出租汽车现状保有量和影响出租汽车需求量的各方面因素,提出了基于神经网络理论的出租汽车需求量预测模型,并在算例中从影响出租汽车容量的各因素入手对成都市出租汽车需求量进行预测。

First of all, the paper concentrates on the analysis of domestic taxi capability and influencing factor of the taxi demand capability, secondly, based on the analysis, then put forward the taxi demand capability prediction model based on Artificial Neural Network（ANN）. Last, according to the influencing factors to predict Chengdu taxi demand capability.