G. Q. Mao, "Real-Time Network Traffic Prediction Based on a Multiscale Decomposition", P. Lorenz and P. Dini (Eds.): ICN 2005, LNCS 3420, pp. 492 - 499, 2005.G. Mao, Real-Time Network Traffic Prediction Based on a Multiscale Decomposition, 4th International Conference on Networking,...
Real-time road traffic prediction is a fundamental capability needed to make use of advanced, smart transportation technologies. Both from the point of view of network operators as well as from the point of view of travelers wishing real-time route guidance, accurate short-term traffic prediction ...
From the introduction: A structural state space model for real-time OD estimation and prediction is presented, within a rolling horizon execution framework in connection with real-time dynamic traffic assignment simulators. By considering demand deviations from the a priori estimate of the regular patte...
time period according to historical data and fusion data; the traffic flow prediction model study module is used for comparing real-time detected traffic flow parameters and predicted information and adjusting a prediction model according to the comparison result; the traffic geographic information ...
定义2:PreView Conversion Prediction,给定一个在T时刻的事件 $P_T = (p,o,d,T)$,也就是从o到d这个地点然后p是这个乘客,预测它接下来事件(Request,Cancel,Finish)的这些概率是多少。 整个模型可以表示为: 不同的颜色代表不同的事件请求。 3. Method ...
Correlation,Roads,Image processing,Conferences,Transportation,Prediction algorithms,Real-time systemsUsing data mining technology, through the analysis of historical data, the traffic flow in the next time interval can be predicted. Cluster analysis can be used to optimize the control effect of a single...
This paper makes comparison analysis to real time collected flow and historic traffic flow.The weight is determined by root-mean-square error method and the weight is modified by exponential smoothing method.This paper also has suggests a real time traffic flow prediction model and examples of ...
Real-Time Network Traffic Prediction Based on a Multiscale Decomposition - Mao - 2005 () Citation Context ...c. Insaddition to developing the prediction framework, aswavelet de-noising method was also delivered andsanalyzed.sA multi... G Mao - International Conference on Networking 被引量: 22...
Traffic speed predictionIntelligent transportation systemsHierarchical regressionPurpose: An Intelligent Transportation System (ITS) must be able to predict traffic speed for short time intervals into the future along the branches between the many nodes in a traffic network in near real time using as ...
This paper addresses real-time joint traffic state and model parameter estimation on freeways using data from fixed sensors and connected vehicles. It investigates how the combined usage of both types of sensing data improves the performance of traffic state estimation (TSE) and what role the online...