The Research Of Cellular Automaton Model In The On-ramp System Based On The Driving Behavior

As one of the classic bottle neck, on-ramp system causes the majority jams.Practical observation also shows that some complex phenomenon are caused aroundthe on-ramp system. The special structure and function make the interaction betweencars more distinctness and noticeable. So it has an important practical value to studythe behavior under concrete situation. This paper comes up with four lane-changingrules and improves NaSch model, simulation experiments are used to research thebehavior’s concrete influences on on-ramp flow both in the process of lane’schanging and car’s driving.The primary contributions of this paper are listed as follows:(1) Four one-way lane-changing rules have been proposed from the point of safe distance.Simulation experiment have show that the rule with forward and backward safe distance aremore suitable for the on-ramp system and the rule without any safe distance has a big inhibitionon the main road.(2) SDNaSch model is introduced into the on-ramp system to simulate the randomizationbrake always takes place before deceleration in real world complex or crowding road. Theexperiment results indicate that SDNaSch model could improve the caparity, which is morecorrespond to the reality.(3) A function of randomization probability is improved and then introduced into theon-ramp system in order to further study the effect of concerte driving environment on driver’sbehavior. The self-velocity, relative velocity, space between cars and safe distance are takeninto account. The experiment results indicate that the new on-ramp model has better securityand higher capacity, in which blocks are avoided very well.