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Intelligent parking berth reservation strategy optimization method based on Agent simulation

An optimization method and parking space technology, applied in the field of intelligent parking, can solve problems such as intensified contradictions between supply and demand, inability to reflect the interaction between vehicles, and waste of parking space resources

Active Publication Date: 2018-08-17
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

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  • Intelligent parking berth reservation strategy optimization method based on Agent simulation
  • Intelligent parking berth reservation strategy optimization method based on Agent simulation
  • Intelligent parking berth reservation strategy optimization method based on Agent simulation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0177] Example: take Figure 5 Take the road network and parking lot layout diagram shown as an example to implement the real-time berth reservation strategy of this parking lot.

[0178] 1. Simulation basic condition design

[0179] Set the simulation step size to 1s, and the simulation time to 2h, which is 7200s. The total OD is 2600, the berth capacity is 180, 300, 160, 310, 190, 210, 230, 240 and 280 respectively, the total number of berths is 2100, the vehicle departure rate is expected to be 60 vehicles / 3600s, and the parking lot is the largest The queue length to endure is 1 / 10 of the berth capacity of the non-reserved part of the parking lot. Since the simulation environment of this embodiment is a situation where the demand is greater than the supply, the cooling time is set to 200s, that is, there are vehicles generated according to the predetermined probability in the first 7000s, and no vehicles are generated in the next 200s for vehicles to parade berths.

[01...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/14
CPCG08G1/0129G08G1/0137G08G1/148
Inventor 章伟梅振宇冯驰丁文超邱海
Owner ZHEJIANG UNIV
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