Intelligent parking berth reservation strategy optimization method based on Agent simulation

Abstract

The invention discloses an intelligent parking berth reservation strategy optimization method based on Agent simulation. The basic thinking of the intelligent parking berth reservation strategy optimization method based on Agent simulation is characterized in that a vehicle Agent processes the received traffic information, then updates the dynamic attribute by combining with the self static attribute and the preset logic rules, and implements the behaviors, such as movement and decision in the road network according to the dynamic attribute. The intelligent parking berth reservation strategy optimization method based on Agent simulation can optimize the intelligent parking berth reservation strategy of an urban central area through the simulation optimization means, can adjust the parkingdemand of users by reasonably configuring and optimizing the proportion of each berth which can be reserved of each parking lot in the area, and can alleviate the phenomenon that parking space resources of the urban central area are not distributed uniformly and the local parking lots has no empty space while some local parking lots have not users, so as to optimize urban traffic.

Description

technical field [0001] The invention relates to an agent simulation-based optimization method for a parking space reservation strategy, and belongs to the technical field of intelligent parking. Background technique [0002] Agent-based modeling theory and simulation technology is one of the most dynamic and influential methods for complex system simulation at present. The upward method starts with the study of individual micro-behavior, and then obtains the macro-behavior of the system. [0003] The traffic problem is essentially the process of each individual (vehicle) participating in the traffic moving and making decisions on the road network. However, traditional static traffic assignment and parking choice models cannot reflect the inter-vehicle interaction, which is an overall parking choice probability. [0004] A reasonable berth reservation strategy can improve the utilization rate of berths, revitalize idle resources, and optimize the operation of surrounding ro...

AI Technical Summary

Problems solved by technology

However, the traditional static traffic allocation and parking choice models cannot reflect the inter-vehicle interaction, which is an overall parking choice probability

[0004] A reasonable berth reservation strategy can improve the utilization rate of berths, revitalize idle resources, and optimize the operation of surrounding roads; unreasonable berth reservation strategies will cause waste of parking space resources and further intensify the contradiction between supply and demand.

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