Research On Traffic Equilibrium Forecasting Model Of Urban Traffic Plan

Purpose of transportation is to realize the movement of people and goods. With regards to some shortcomings of the current traffic model splitting methods, by introducing a parameter to describe the utility relationship among traffic modes, a new Generalized Logit (G-Logit) model is developed, which is based on the interpretation of micro-economical mechanism of personal model choice and the theory stochastic utility. Finally ,the features for citizen's trip of Nanchang is analized by using the G-Logit model.Based on the mechanism of personal trip decision behavior and the definition of socioeconomic potentiality around a traffic zone, a new trip generation forecasting model and its calibration algorithm are developed in this paper. This model demonstrates how the socioeconomic variable, traffic serving level and the socioeconomic variable around traffic zones contributes to the trip generations. Finally, an analysis of the trip generations of Guilin city is also performed, which shows that the model constructed in the paper has excellent accuracy and properties.In this paper, the problem of mixed traffic equilibrium (UE, User's Equilibrium) assignment is discussed systematically. In the case of the symmetric marginal contributions to link travel times, a corresponding minimum programming model (equaling to the principle of Wardropian Equilibrium) is developed. The equality and uniquesness of the programming model are proved and the algorithm is also derived. When the marginal contributions are asymmetric ,we present a UE searching procedure directly. Finally ,the equilibrium assignment of a simple transportation network which contains vehicle and nonvehicle traffic is analysized.