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Parking system path planning method on the basis of improved ant colony algorithm

An ant colony algorithm and path planning technology, applied in control/adjustment system, vehicle position/route/height control, motor vehicles, etc., can solve problems such as lack of perfect locking and monitoring systems, trouble picking up cars, and poor practicability

Inactive Publication Date: 2016-05-18
NANTONG UNIVERSITY
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In order to solve the parking problem, the construction of the parking lot has been increased. The construction of the parking lot is divided into the following two types: the traditional flat garage and the mechanical garage; the traditional flat garage occupies too large an area. It is unrealistic to build a large number of plane garages to solve the parking problem; the mechanical garage can effectively and reasonably use the space area, realize parking multiple cars in the same space, and can alleviate the parking problem to a certain extent, but the mechanical garage must be manned Operation and use, the equipment structure is complicated, there is no perfect locking and monitoring system, the failure rate is high, the car is also troublesome, and the practicability is poor

Method used

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  • Parking system path planning method on the basis of improved ant colony algorithm
  • Parking system path planning method on the basis of improved ant colony algorithm
  • Parking system path planning method on the basis of improved ant colony algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0066] Use the link visualization method to create an AGV operating environment model. The specific steps are as follows:

[0067] (1) Process the AGV operating environment, including the following processing: a. The AGV operating environment is a two-dimensional limited space; b. The obstacles in the figure are known and their positions are determined. They are represented by irregular polygons and their height directions are ignored; c. , AGV drives at a constant speed in the operating environment, ignoring factors such as AGV's start, steering, braking, and hydraulic system lifting operations; d, based on the actual size of the AGV, appropriately expand the range of obstacles, and regard the AGV as a mass point;

[0068] (2) Use the AGV's own camera, radar sensor, infrared sensor and other equipment to collect AGV operating environment information. The information includes the AGV's initial parking space, target parking space, obstacles, and AGV to be charged. Method to cre...

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PUM

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Abstract

The present invention discloses a parking system path planning method on the basis of an improved ant colony algorithm. The method comprises: creating an AGV operation environment model through adoption of a link visible graph; planning the initial path of the AGV from an origin to a terminal point based on a Dijkstra algorithm; performing optimization improvement of the ant colony algorithm through introduce of a node random selection mechanism and a maximin ant system and changing of a sociohormone update mode; and selecting the improved ant colony algorithm to optimize the initial path, and completing the parking system path planning method. The parking system path planning method on the basis of an improved ant colony algorithm is able to allow an AGV to effectively avoid a barrier and then find out an optimal path through fusion of an ant colony algorithm; and moreover, a mixed algorithm shows up a high global searching ability and a good convergence, so that the path search efficiency is improved, the search path length is shortened, the search path quality is improved, the parking land occupation area is small, and the purposes of large number of effective parking and the intelligence are achieved.

Description

technical field [0001] The invention belongs to the technical field of AGV path planning, and in particular relates to a path planning method for a parking system based on an improved ant colony algorithm. Background technique [0002] Since the beginning of the 21st century, my country's automobile industry and automobile consumer market have developed rapidly. Private cars are no longer a luxury in ordinary people's lives, but have gradually entered people's daily lives. The number of cars per capita is increasing year by year. The number of private cars owned by families continues to grow significantly, which has led to some cities being overcrowded with cars and seriously insufficient parking facilities. [0003] In order to solve the parking problem, the construction of the parking lot has been increased. The construction of the parking lot is divided into the following two types: the traditional flat garage and the mechanical garage; the traditional flat garage occupies...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D1/02
CPCG05D1/021
Inventor 朱龙彪王辉朱天成王景良邢强邵小江朱志慧
Owner NANTONG UNIVERSITY
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