Analysis And Simulation Of Non-motor Vehicle Capacity In Straight Road At Signal Controlled Intersections

With the development of green and low-carbon travel concept and the popularization of sharing technology,non-motor vehicle travel occupies an increasing proportion in the daily travel of urban residents,and its travel purposes mainly include commuting,shopping,entertainment and so on.Technological advances have made it possible for the non-motor vehicles stream not to be a single human-powered bicycle,but to be a diverse mix of bicycles,non-motor vehicles and scooters.The range and comfort of electric vehicles are enhanced,and the proportion of non-motor vehicles in long-distance travel is also increasing gradually.From a micro point of view,the capacity of non-motor vehicles has a great impact on the efficiency of a single intersection,while from a macro point of view,the capacity of non-motor vehicles at an intersection has a significant impact on the operating efficiency of the overall road network.This topic takes the straight non-motor vehicle flow in signal-controlled intersections as the research object,selects typical intersections in some cities of Guangxi and Zhejiang to carry out field research,studies the measurement method of the straight non-motor vehicle capacity at signal-controlled intersections,and verifies the measurement method through actual cases and software simulation.First,analyze the basic characteristics of non-motor vehicles.Through data collection,literature collection and market research,the current popular non-motor vehicle characteristics are studied,and its operation characteristics are analyzed.At the same time,according to the analysis of operating characteristics,the straight non-motor vehicle virtual lanes are divided,and the single-vehicle following model and the two-vehicle following model are established according to the stimulus-response following model.Second,the influence factors of non-motor vehicle capacity at signal-controlled intersections are analyzed and the key influencing factors are determined.The number of intersections under each proportional vehicle type was counted.According to the proportion of electric vehicles,the traffic flow types were divided into four categories: less than 0.6,0.6-0.7,0.7-0.8 and greater than 0.8,so as to ensure that the number of intersections of each category was not significantly different.The BEU value of different vehicle types to bicycles was calculated based on the traffic flow mixed with each proportional vehicle type through field research data.It is concluded that when the proportion of electric vehicles is 0.6-0.8,the flow speed and flow rate of non-motor vehicles increase with the increase of the proportion of electric vehicles,while the BEU value decrease.The expansion coefficient model is established to calculate the expansion coefficient of straight non-motor vehicles at the intersection when studying the expansion characteristics of non-motor vehicle intersections.By fitting the relationship between the distance between the inlet and outlet lanes and the expansion coefficient,it is concluded that the smaller the distance between the inlet and outlet lanes,the more obvious the expansion characteristics and the larger the expansion coefficient.Thirdly,based on the field research data,the research on the capacity of non-motor vehicles at signal-controlled intersections is carried out,and the speed at the stop line is obtained by fitting the research data with different proportions of traffic flow.The saturated flow rate of the inlet is calculated by regression analysis method after determining the period of saturated traffic flow.The starting loss time analysis of the stop line is to compare the number of non-motor vehicles passing in the initial and middle stages of the green light within the same period.Finally,the saturated flow rate method is used to calculate the capacity of the straight non-motor vehicles at the entrance of the example intersection,and the capacity of the straight non-motor vehicles in the intersection is calculated by the expansion characteristics.Fourthly,the VISSIM simulation software is used to carry out simulation experiments on the example intersections,and the simulation output capacity results are compared and analyzed with the above calculated results to verify the accuracy of the measured results.Suggestions on speed management and non-motor vehicle violation management at intersections are put forward.