Research On Bus Stop Characteristics Analysis And Simulation Considering The Influence Of Non-motor Vehicles

Bus stops, as the direct service platform for passengers, consist in everywhere of urban road network. Bus stops as an important node of bus operation, is a key factor affecting the operation efficiency and service quality of the bus. In our country, a lot of bus stops are set alone the sidewalk. Bus pulling in and off needs to pass through and take up bicycle lane, that will result in the interaction between non-motor vehicles and motor vehicles. It will not only reduce the efficiency of bus pulling in and off, but also cause the safety. Therefore, it is necessary to analyze the effects of bus pulling in and off. At present, most of domestic and international research focuses on the mutual influence of the vehicle and the bus near bus stop, and few of them focus on interaction between non-motor vehicles and bus.Based on studying the characteristics and the influence factors of bus pulling in and off, as well as the theory of cellular automaton, this paper builds double lane mixed traffic flow model, the non-motorized traffic flow model and bus stop nearby mixed traffic flow model. This paper simulates these models by MATLAB programming and analyzes simulation results based on the survey data. The specific contents are as follows:(1)This paper, Considering the difference of speed and size in bus and car and the expected velocity effect in speed updating and lane changing rules, formulates the double lane mixed traffic model (Double-lane Mixed traffic considering the Velocity Effect, DMVE). Research analyzes the bus ratio influence on mixed traffic flow under the conditions of different traffic density.(2)This paper establishes the number of moving vehicles depended randomization mixed non-motor vehicle flow model (Number Depended Randomization NDR), which considers the speed and size differences exist in bicycle, electric bicycle and tricycle. Research analyzes the influence of the randomization parameters and vehicle type on mixed non-motor vehicle flow.(3)This paper establishes the bus stop nearby mixed traffic flow model (DMVE-NDR), though dividing the regional function near bus stop and making vehicle evolution rules. Research chooses the Daliushubeizhan bus stop for investigation and as a case study. It analyzes the volume data, probability distribution of bus headway, bus pulling in and off time and bus stop time. Studies and simulates the interaction of mixed traffic flow near the bus stop. Research shows that the DMVE-NDR model can reasonably reflect the running state of mixed traffic flow near bus stop.