Research On Travel-demanding Forecast Method Based On Land-use

As economy developing, the urban scale expand promptly; From Urban population and land-use intensity increasing, the mobile industry developing make, Urban traffic will face to be tested sharply. The traffic problems have been one of the most important problems of all big cities in the world. All the while, there are many research and learner to make effort in traffic field, and they put out of many advices and methods to improve the condition of Urban traffic which work well. Traditional way, "increase supply based on demanding." and improving way of partial area can't have suit current traffic congestion problem. In recent years, traffic establishment's supply lag the speed of travel-demanding, the improving ways of "treat head because of headache, treat foot because of foot illness can't solved traffic congestion thoroughly. How to make urban traffic be persistence? It needs to find deep reason.One of the direct traffic congestion reasons is that urban travel-demanding is so big that urban traffic capacity can't afford. Then, land-use is the root of travel-demanding, so there is a requirement that finding the deep reason of big travel-demanding from land-use. Based on summarizing the relation of traffic and land-use, the paper established the neural-net model combining land-use. It will find the relation of land-use and resident-traveling among deferent city, deferent area.Other deferent meaning of big travel-demanding is no asymmetric of travel-demanding distributing, only is some area's travel-demanding so big that result in congestion of whole urban traffic net. The purpose of land-mixed is balancing the urban travel-demanding distributing, decreasing travel from deferent area. The paper puts out of optimizing model of land use whose aim is minimizing the resident-traveling from deferent area, optimizes the framework of land-use making use of effect of land-use to traffic and hope to equal travel-demanding distributing.The two models both hope to find a deep method from land-use and make urban traffic to be persistent.