城市出租车需求仿真预测模型研究

Study on the simulation and prediction model for urban Taxis' demand

针对城市出租车需求的动态不确定性问题,在分析城市出租车需求系统的特点和影响因素的基础上,构建其人工神经网络BP网络预测模型,应用MATLAB进行数值仿真,研究城市出租车需求变化的动态规律,以期对城市出租车需求量作出有效预测.

Considering the dynamic uncertainty of urban Taxis＇ demand, an artificial neural network and a BP network prediction model on the basis of analysing the characters and factors of urban Taxis＇ demand system are constructed. Then we employed MATLAB to carry on the simulation of numerical calculation and study the dynamic rule about the change of urban Taxis＇ demand in order to make effective prediction for urban Taxis＇ demand.