基于模式匹配的行程时间预测模型研究

The Research On the Predict Model of Travel Time Based on Pattern Match

本文采用深圳市某快速路的占有率预测目标的历史数据库对交通状态进行模式匹配和行程时间进行预测。经过比较研究得出,利用占有率数据进行模式匹配预测城市快速路的行程时间,结果是最令人满意的。这一预测模型的构建为智能运输的应用建立了良好的理论基础。

Traffic flow,speed and occupancy are three available dates usually in the urban expressway travel time prediction. Use the history datebase of prediction object to be the model match,which is to find the nearst traffic condition to the current traffic condition,and then predict travel time with the nearest traffic condition. In the contrary,we find that it is satisfactory, to predict the urban expressway travel time with the method of pattern match using the occupancy date. This paper uses the occupancy date to predict the urban expressway travel time with the method of pattern match and obtains a satisfactory result.