The Modeling And Implementation Of Random Behavior In Traffic Flow Emulation System

Reasonable description modeling of traffic flow is needed not only for better understanding of drive behavior of cars, but also for analyzing flow condition , designing efficient control strategies, and etc. For the past few decades, many researchers have made studies of this subject and a wide range of traffic flow theories and models have been developed .According to the level-of-detail with which the traffic flow is describe the traffic models are classified into: microscopic models (including stimulate- reaction models,safety-space models,differential equation models,cellular automation models and so on), mesoscopic models and macroscopic models. This paper mainly deals with the random behavior of the microscopic traffic flow models.Based on the analysis and contrast of the already exsit distribution, and its application on car-create models, the Weibull distribution is selected as a basic model of car-creat model, for it is widely used. It has been improved and have been added the time parameter as a style parameter. The Time-weibull distribution make it possible for the car-create model have different feature at different time.On car-following model, via analysis the driver behavior and based on fuzzy sets (?) heory , drivers have been classified to 3 styles, there are conservative, general and impulse styles. And then, we establishe a model of safety time distance, and calculate the safety time distance on the degree of membership fuction, which make it more reasonable to practical.. We added the acceleration compute rules to the car-following model, which reflect the driver feture on the model.On change lane models, the model have been reconstructed, and the driver feture has been thought as a change lane decision parameter which expressed the driver individual difference on the change lane decision.Finally, a traffic flow simulation system has been established, combiled with the traffic flow theory curve verifed the model profiled below. Via analysis of the result we can see that after improved the model can reflect the traffic flow satisfactory. Because of the complicated of driver behavior, we can hardly descript a man accurately on one variable, the paper only give a tentative approach to do this. How can descript the driver behavior more reasonable still need more analysis and study.