Urban Traffic Planning and Traffic Flow Prediction based on ulchis gravity model and Dijkstra algorithm

Abstract

Traffic flow forecast is the basic content of urban traffic planning, its planning will play an important role in the development of small towns. Therefore, this paper takes Nanliang town as an example, analyzes the topography of Nanliang Town, and then makes planning on the functional zoning and spatial structure, the layout of various types of land and road network, On this basis, the “four stage” demand forecasting method is used to study the development of Nanliang town’s traffic demand. The original unit method and ulchis gravity model are used to predict the trip generation, the trip attraction and the distribution of traffic volume. The Dijkstra algorithm is used to calculate the shortest path. After that, the all-or-nothing assignment method and the improved multi-path Logit method were respectively adopted to allocate the space OD amount of various travel modes to the specific road network, and the traffic flow distribution results under the two allocation methods are obtained respectively. According to the distribution result chart, it can show that the improved multi-path Logit method is closer to the reality, it can provide theoretical support for the study of urban traffic demand.