With the vigorous development of public transportation,the proportion of residents who choose to travel by public transportation has increased significantly,and the demand for public transportation has also increased year by year.As one of the main ways of green travel for urban residents,the traffic capacity of buses is restricted by the traffic capacity of each stop area along the line.One of the main reasons for the reduction of the traffic capacity of bus lines is that the traffic at the bus stops is complicated,and the vehicles change.There are many road behaviors and serious interweaving,which makes the traffic capacity of the area bottleneck.In order to reasonably arrange traffic facilities,plan the form and size of bus stops,and analyze the lane-changing behavior of vehicles in this area,it has important engineering practical significance for improving the traffic capacity of bus lines.Therefore,it is necessary to study the lane-changing behavior of vehicles in this area.First,field investigation and data collection were carried out on 6bus stops in Fuzhou in 3 forms(harbour-style stops,occupied motor vehicle lane-style stops and occupied non-motor vehicle lane-style stops),and obtained through aerial video recordings of drones.The video data of the natural driving state are obtained by using Tracker software to obtain the driving trajectory value,coordinate position,instantaneous speed and acceleration of all vehicles in the study area,and SPSS and Origin software are used to fit and smooth the data.Secondly,according to the collected traffic flow data,analyze the traffic flow characteristics.The traffic flow characteristics of the six bus stops are analyzed from the traffic volume,bus proportion,bus stop time,headway,vehicle trajectory and lane change point distribution.A three-dimensional model of section position-travel speed-headway is established.Thirdly,the vehicle game lane-changing profit matrix is constructed from the four aspects of social vehicle free lane change,forced lane change and bus free lane change,and forced lane change,and the profit matrix parameters are calibrated by vehicle speed difference,conflict time difference and distance from the station,and The distribution relationship is fitted to the measured data.70% of the measured data is used to calibrate the income impact factor,and the remaining 30% of the data is tested for calibration goodness.Finally,the lane-changing game model is introduced,and a three-lane cellular automaton simulation model based on the lane-changing game model is constructed,and the validity of the model is verified by the measured data.With the help of Matlab software,the method of controlling variables is used to study the influence of traffic volume,non-motorized vehicle density and bus ratio on traffic flow,and its influence degree is analyzed from three aspects: average speed,number of vehicles changing lanes and single-lane traffic flow rate.The results show that: when the traffic volume of the three-lane road section is greater than 3500pcu/h or the proportion of buses is greater than 7%,it is better to set up a harbor-type bus stop on the road section than to occupy a motorway-type bus stop;the proportion of buses is greater than 7% or non-motorized vehicles.If the density is greater than 100pcu/km,it is not advisable to set up and occupy non-motorized bus stops in the road section. |