Multi-agent parking system simulation system and construction method thereof

Abstract

The invention discloses a multi-agent parking system simulation system and a construction method thereof, and the system is characterized in that the system comprises a multi-agent simulation module, a randomness simulation module, a system dynamics simulation module, a process simulation module, and a rule simulation module; the multi-agent simulation module is used for describing fixed facilities, vehicles and pedestrians in the parking system, wherein the vehicles and the pedestrians are main bodies and are movable agents with active behaviors; and the fixed facility is at a position and is an immovable agent with passive behavior. Accurate description of motion behaviors and mutual influence processes of all agents in the system can be realized, simulation of motion tracks and selection behaviors of the agents is completed through a logic rule model, a visual system dynamic process and potential problems are provided by means of visualization and result analysis functions, reliable data support is provided for design and operation of the parking system, and the parking system simulation method based on the dynamic parking demand is provided.

Description

technical field [0001] The invention relates to the field of microscopic simulation of parking systems, in particular to a multi-agent parking system simulation system and a construction method thereof. Background technique [0002] At present, the existing parking system can no longer meet the growing parking demand, and the parking area in the city has occupied a large part of the land, and it also brings serious problems such as traffic congestion, noise and traffic accidents. Therefore, in the face of dynamic parking demands in different time periods and different geographical characteristics, how to maximize the use of limited land space to provide efficient parking services is an urgent problem to be solved. Due to the closed environment of the parking system and too many influencing factors, the traditional methods of parking management system, formulation of parking rules and expansion of parking spaces cannot consider various factors to formulate a comprehensive and...

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a multi-agent parking system simulation system and its construction method. On the basis of collecting historical data and identifying parking demand characteristics, the present invention establishes the movement mechanism and mutual influence mechanism of each intelligent body in the parking system to integrate vehicle The vehicle deadlock and pedestrian dynamic decision-making simulation modules during the movement process realize the multi-process system simulation in the parking system, and complete the analysis and prediction of the distribution characteristics of parking demand through model parameter calibration, and establish historical information that can be stored and human-machine information that can be interacted The simulation mechanism of the parking system solves the problems that the existing parking system micro-simulation method cannot describe the mutual influence relationship between multiple agents, lacks a detailed parking system evaluation index system, and has limited scalability and practicability.

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