基于元胞自动机的非机动车流微观仿真研究
[Abstract]:With the continuous development of urbanization in our country, the traffic demand increases greatly, which leads to the increase of urban vehicle ownership year by year, which often occurs when non-motor vehicles travel on the same road. Many cities have set up non-motorized lanes with physical separation zone, which is an indispensable component of slow traffic network in cities, which makes it very meaningful to improve the level of road service. In order to reduce the pressure of urban parking, some non-motorized lanes are provided with the parking belt of the motor vehicle, which causes the vehicle to drive into the non-motorized lane without interruption to stop, so the non-mixed traffic flow is formed. This further exacerbates the traffic chaos in non-motorized lanes, which leads to frequent traffic accidents, which directly reduces the capacity of urban traffic network. So this paper establishes the traffic flow model which is in line with the actual situation to study the traffic characteristics of non-motor vehicle flow under different conditions, and uses the corresponding model to do some basic work to improve traffic congestion, which has very important significance. The main contents of this paper are as follows: (1) firstly, the brief development of cellular automata and some basic elements are reviewed, and then several classical models of cellular automata applied in traffic flow field are briefly introduced. Furthermore, the three elements of traffic flow and their relationships are analyzed. (2) the related experimental settings and data resources are used in the laboratory, and combined with field research. On this basis, from three aspects of the physical characteristics of the vehicle, the characteristics of the vehicle riding behavior, the characteristics of cyclists, The traffic characteristics of non-motor vehicles and motor vehicles in mixed traffic are studied respectively. (3) the composition system of non-motor vehicle flow in small and medium-sized cities in China has changed significantly. The number of electric tricycles and electric bicycles has increased year by year. In view of the difference of the actual size and driving characteristics of the vehicle, the cellular automata model of multi-lane hybrid non-motor vehicle is established on the basis of the STNS model and considering the velocity effect of the vehicle in front of the vehicle. The computer is used to simulate the model, and the basic diagram is obtained under the specific electric tricycle proportion, the probability of slowing down and the probability of changing lanes. Finally, it is proved that the model can be used to describe and analyze the actual road traffic by comparing with the actual data. (4) there are parking areas for motor vehicles on non-motorized special roads in many cities. In order to study the effect of the on-street parking behavior on the flow of non-motor vehicles. In this paper, the EBCA1 model for two-wheeled vehicle is coupled with the SDNS model for motor vehicle, and finally the CA model for non-hybrid vehicle flow is established. The behavior of vehicle entering the roadside parking space is simulated by computer in the environment with two different parking bands, and the influence of the parking behavior of motor vehicle on traffic flow under various conditions is analyzed respectively. The simulation data and the actual data are compared and analyzed to verify the practicability of the model. Finally, the standard value of the road traffic flow with non-motorized lane parking belt can be set up by using the model.
【学位授予单位】:江西理工大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:U491
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