首页>
外国专利>
Method for predicting travel times using autoregressive models
Method for predicting travel times using autoregressive models
展开▼
机译:使用自回归模型预测旅行时间的方法
展开▼
页面导航
摘要
著录项
相似文献
摘要
Future travel times along links are predicted using training and prediction phases. During training, seasonal intervals, a seasonal component of the training inflows are learned. The seasonal component is subtracted from the training inflows to obtain training deviations from the training inflows to yield statistics, which along with the seasonal components form a model of traffic flow on the link. During prediction, current travel times on the link are collected for current seasonal intervals to determine current inflows. A most recent travel time is subtracted from a most recent inflow to obtain a current deviation. For a future time, a predicted deviation is estimated using the statistics. The seasonal component is added to the predicted deviation to obtain a predicted inflow from which the future travel time is predicted.
展开▼