A Railway Model Base On Cellular Automaton And The Study Of Traffic Flow Features

In the modern railway traffic, the train sigalling control system is the central system of rail traffic systems. It guarantees the trains' safe and efficient traveling. The train sigalling control system included fixed block systems and moving block systems. Moving block systems don't have fixed block zone and carry out train following operation models .the circuit of trains increase deeply,the mutually influence of trains like delay time spreading backward is more serious than it in fixed block systems. Junctions are key resources, because trains overtake and meet in them. If one train is delay ,it must affacts the trains following it,if best redressal can be carry out at junctions,delay time can be reduced awfully. In this paper, we propose the cellular automaton (CA) models for moving block systems based on rail traffic traits and investigate the traits of rail traffic flow. Using these models we mainly investigate and study the trains' delay propagation and the facts which influence this propagation under moving block systems,and research a real time adjusting strategy of maxed trains flows. The main contents and results obtained in this thesis are as follows:1. Base on rail traffic's traits and strategy of trains operationing and controlling in junctions, the cellular automaton model at junctions for moving block systems is proposed. The model well simulates trains followed running and switching at junctions.2. Using the model above,we analyse the traffic flows' traits. We discuss the of interval's setting among trains starting off and it's effect with delay time, analyse the rate's of different trains and it's effect with delay time. Numerical simulation results demonstrate that our cellular automaton model can successfully reproduce some actual railway traffic phenomena in moving block systems.3. Base on routes controlling's traits at junctions, a real time adjusting strategy for maxed trains flows is proposed, using the model above,we draw the time-space diagrams before adjusting and after, research results demonstrate that the strategy can reduce the effect that way trains cumber rapido,and reduce the delay time in all trains,All trains running efficiency is increased awfully.4. A cellar automation model for double ways with multi-routes is proposed, base on the model ,we analyse how the number of routes affect trains' delay time,and also use the strategy above in this model to prove it's effect of increasing trains runningefficiency.