Research On Prediction For Travel Time Of Urban Road

The main purpose of ITS (intelligent transportation systems) is, how to make use of the traffic data to forecast the traffic condition of the urban road, how to fully improve the efficiency of transportation, how to save the travel time and to reduce traffic congestion and traffic accident. Traffic flow guidance is considered as all optimum way to improve traffic efficiency andmobility, it's purpose is to provide the best travel paths for pedestrians in the transportationnetwork.In recent year, travel time forecasting has becomes a interesting research field, The accurate and real time prediction of'travel time is the basis of traffic control and traffic routing guide. travel time forecasting is the key for transforming reaction control mode to active one.The travel time prediction is one of the most important issue to be solved in the aspect of traffic controlling, vehicle guidance. In order to achieve accurate prediction of travel time, it is necessary to study the theory and method of traffic flow prediction. It is significant and valuable for alleviating traffic congestion in the city and avoiding the resource wasting.This paper described several technology which can make use of modern traffic information collection equipment to collect basic traffic information data. And advanced a traffic information data filtering method to reduce the dispersion of traffic information data.It is very difficult to predict the travel time because of the complexity of the transportation networks.In this paper, a section of a urban road and a signal controlled intersection in a typical urban road network become the research objection. Considered the data of a section of a urban road and a signal controlled intersection over several time scale, and by analyzing the traffic flow, the delay modal of a signal controlled intersection and travel time modal of a section of a urban road.were Established.By analyzing the the sample data of urban road traffic flow, we established a prediction model of traffic flow.The time series method was used in this modal. Experiment results demonstrated that we made a good prediction through the modal.