The lane changing behavior of road vehicles is one of the most common traffic phenomena. Lane-changing is a description of the driving behavior of vehicles with various needs of changing lane. Lane-changing behavior has great influence on traffic flow, especially heavy traffic. The existing research results on the lane-changing behavior have two aspects of behavior and the model described in detail, but the lane changing behavior influence on quantitative traffic flow is not clear.In this paper, based on a large number of city road vehicle actual observation data, mainly using the methods of mathematical statistics and comprehensive analysis of driving behavior characteristics and the effects on traffic flow.According to the city of lane changing behavior, we analyzed the vehicle type, vehicle speed, traffic flow density, lane-changing frequency, time headway and lane-changing time, determined the statistical interval and the sample size, and analysis the sample error, analyzed traffic characteristics of road vehicles, and validated the data.This paper analyzed the data of lane changing frequency and density of traffic flow in road section with or without entrance, and quantified the effects of lane changing on traffic flow density. According to the mandatory lane changing and free lane changing, we analyzed vehicle lane changing before the original lane and change lane after the completion of the target lane density difference relationship with the change of time. Lane changing behavior and traffic flow relationship between the macroscopic characteristics of vehicles in the city freeway, for conducting lane changing behavior and traffic flow relationship between the macroscopic characteristics of vehicles in the city road, we observe the state road vehicle lane changing and analyze data, with the conclusion that the per unit time of driver’s desired ratio change flow and total flow not only with the original road density and the target density difference, but also the original Lane blocking density and the density difference. We improved Laval. J.A model with four parameters, and get the relationship between city road vehicle lane changing frequency and the lane and the target density and flow. Through the actual survey data to calibrate the model, determine the unknown parameters, using the observation data to further validate the model. With the actual vehicle lane changing frequency data and Simulation of vehicle lane changing results were compared and analyzed, to determine whether the true model can objectively reflect the actual situation of traffic. This model simplifies the calculation of vehicle lane changing frequency process, to provide a theoretical basis for the theory of traffic flow and traffic management. |