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Traffic Flow Model Of Signal Intersection Based On Cellular Automata

Posted on:2020-01-03Degree:MasterType:Thesis
Country:ChinaCandidate:Z R ChenFull Text:PDF
GTID:2392330575999059Subject:Control Engineering
Abstract/Summary:PDF Full Text Request
In recent years,the number of electric bicycles has continued to increase,and together with motor vehicles constitute the current non-mixed traffic flow of urban vehicles.The management and control of urban hybrid non-mixed intersections is an important part of traffic management.Therefore,it is of great significance to study the traffic flow characteristics of electric bicycles and motor vehicles mixed traffic at signalized intersections.In this paper,the traffic organization of non-motor vehicle waiting area is set up at the signalized intersection,and the cellular automaton model of intersection is established.The main work includes the following sections.Firstly,for the wide intersection of road sections,this paper adopts the improved multi-lane CA model based on NS for motor vehicle flow,and establishes the rules of intersection change,including forced lane change,balanced lane change and underbalanced lane change.At the same time,active deceleration rules are also added.The use of an extended multi-value CA model with lateral motion for nonmotor vehicle flows increases the evolution rules of non-motor vehicles in motor vehicle lanes,so that non-motor vehicles can advance on motor vehicle lanes on specific road sections.Under the periodic boundary conditions,the two improved model-s are coupled into the signalized intersection model of the system.The characteristics of the traffic flow in the waiting area are studied,and the influence of the non-vehicle density and the longitudinal length of the waiting area on the signalized intersection is studied.The traffic flow characteristics of the left and right lanes of the intersection are analyzed in detail.Then,for a narrow intersection,this paper establishes a CA model based on the right turn lane setting at the parking line position.Different from other models,while considering the control of signal lights and the mixed traffic of motor vehicles and nonmotor vehicles,it also introduces pedestrians' motor vehicles,non-motor vehicle ruling rules and non-motor vehicle occupation rules and occupations in the model.Advance rules.It defines the conflicts between pedestrians and motor vehicles of motor vehicles,non-motor vehicles and pedestrians at intersections,the conflict between pedestrians and non-motor vehicles,and the conflicts between motor vehicles and non-motor vehicles.According to the model,the pedestrians and motor vehicles at intersections are studied.The conflicting relationship and polite behavior of the hybrid car.At the same time,the influence of some non-motor vehicles at the intersections on the traffic capacity of the intersections was also studied.Further,according to the model,the problem of conflict between the right-turning motor vehicle and the non-motor vehicle at the intersection is studied..Finally,based on the established model,consider further improvements in the future.In the first model,only the left-turn and straight-line lanes of the intersection are studied.In the second model,the right-turn lane is a right-turn lane,and the right-turn lane is not considered,and the motor vehicles,non-motor vehicles,and pedestrians are not considered.Conflict relationship.
Keywords/Search Tags:Traffic flow model, Cellular automaton model, Mix traffic flow, Signalized intersection
PDF Full Text Request
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