Analysis of influencing factors of vehicle lane changing intention considering macro-micro cross-layer effect
To accurately analyze the lane changing intention of vehicles on expressways and reveal the interaction between traffic flow state and vehicle running state,a vehicle lane changing intention model based on multi-layer linear model was constructed,considering the cross-layer crossover effect of macro factors and micro states of vehicles during lane changing.With High D data set as the sample library,lane change samples were extracted according to the transverse and longitudinal running regular of vehicle lane changing.Combined with the correlation and multicollinearity analysis results,four kinds of vehicles'micro running states and two kinds of traffic flow macro running states that have significant influence on drivers'lane changing intention were selected as explanatory variables for the multi-layer linear model.The zero model,random coefficient model and complete model were established respectively,the influence of macro-micro multilevel factors on lane changing intention was verified by comparing the models with important performance indexes.The results show that the vehicles'lane changing intention is influenced both by micro factors of vehicles'individual layer and macro factors of traffic flow layer.From the micro point of view,vehicles'lane changing behavior is mostly caused by other vehicles'driving behavior around the current lane.For the certain micro-driving behavior characteristics,the average driving speed will reduce vehicles'lane changing intention,while the vehicles'density will further stimulate vehicles'lane changing behavior.There is a significant cross-layer interaction effect between the micro-vehicle individual and the macro-traffic flow indexes.The multi-layer linear model considering macro and micro influencing factors has higher goodness of fit and model accuracy than the single-level model and the single-layer stochastic utility theory model.The model reflects the interactive behavior of vehicles'lane changing more veritably,and can better explain the nested relationship between vehicle individual and traffic flow.10 tabs,5 figs,25 refs.
traffic engineeringlane change intentionmulti-layer linear modelcross-layer inter-actionanalysis of influencing factors
NETL
NSTL
万方数据
