Implementation method for traffic flow cellular automaton model on the basis of intelligent game playing

Abstract

The invention discloses an implementation method for a traffic flow cellular automaton model on the basis of intelligent game playing. The method comprises the following steps that: S1: before simulation is carried out, firstly setting simulation time length, a parameter [Lambda], a maximum speed value vmax, and the preset numerical values of the numbers of front and rear roads of a merging area, length and a connection way; S2: before simulation is carried out, on a position of which the original point distance is equal to 0, on the basis of Poisson distribution, randomly generating a vehicle, and generating an initial speed on the basis of the Poisson distribution; S3: judging a position coordinate for the generated vehicle, determining the area of the position coordinate, and judging speed parameters in sequence according to different improvement rules; S4: combining the speed determined in the S3 to carry out position update and status flag update, and displaying and recording relevant data or images on the basis of the status flag; and S5: judging whether time achieves simulation time or not, and if the time does not achieve the simulation time, returning to the above steps. By use of the method, technical support is provided in fields including traffic detection and toll station design, and the method has a high practical value.

Description

technical field [0001] The invention relates to a method for realizing a traffic flow cellular automata model based on an intelligent game, and belongs to the technical field of traffic flow monitoring and forecasting applications. Background technique [0002] A cellular automaton is a dynamical system that discretizes both time and space. Each cell scattered in the regular grid takes a finite discrete state, follows the same action rules, and performs synchronous updates according to the determined local rules. The system constitutes the evolution of the refined system through the simple interaction of a large number of cells, thus effectively demonstrating the changing trend of the complex system. Its essence is to make use of the characteristics of different situations to make unique cell evolution rules, so that the automaton can operate flexibly and accurately. [0003] With the rapid development of the global traffic network, people pay more attention to traffic-rel...

AI Technical Summary

Problems solved by technology

[0005] But in fact, in the traditional cellular automata model and related modified models, there are few models with good accuracy and extension.

Images