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Automobile proving ground testing route planning method based on ant colony algorithm

A technology for vehicle proving grounds and path planning, applied in vehicle testing, machine/structural component testing, calculation, etc., can solve problems such as increased fuel consumption, vehicle loss, unfavorable test standardization, etc., to improve efficiency and avoid falling into local solutions , the effect of improving the effective utilization rate

Active Publication Date: 2018-11-13
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the test field generally allows the test driver to plan the driving route by himself. In this way, for the same test cycle, different test drivers will result in different overall test mileage. Some test drivers spend a lot of time driving on useless contact roads. Increased fuel consumption and loss to the vehicle, which is not conducive to the standardization of the test

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  • Automobile proving ground testing route planning method based on ant colony algorithm
  • Automobile proving ground testing route planning method based on ant colony algorithm
  • Automobile proving ground testing route planning method based on ant colony algorithm

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Embodiment Construction

[0036] The present invention will be described in detail below with reference to the accompanying drawings and embodiments.

[0037] A test route planning method for a vehicle proving ground based on the ant colony algorithm, as shown in Figure 1, including the following steps:

[0038] S1. Determine the location and the length of the connecting road: obtain the relative position of the starting and ending point garage and each characteristic road section in the test site, and measure the length of the connecting road between the garage and each characteristic road section, and between the characteristic road sections;

[0039] we take figure 2 For example, node 0 in the figure represents the starting and ending point garage of the test vehicle, nodes 1-7 represent 7 characteristic road sections, determine the position of nodes 0-7, and measure the length of the connecting road between nodes 0 and 1-7 , and the length of the connection path between nodes 1-7, the length of t...

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Abstract

The invention discloses an automobile proving ground testing route planning method based on an ant colony algorithm. Aiming at characteristics of testing on an automobile proving ground, an ant colonyalgorithm is introduced into testing route planning, then waste of time cost and oil consumption cost caused by testing along low-efficiency redundant routes can be effectively reduced for the automobile proving ground, the efficiency of reliable testing on characteristic road sections can be improved, the overall effective utilization rate of the automobile proving ground can be increased, and optimal routes can be planned rapidly and efficiently.

Description

[0001] Field [0002] The invention relates to the field of formulating test specifications for automobile proving grounds, in particular to an ant colony algorithm-based test path planning method for automobile proving grounds aimed at multiple test road sections of the automobile proving ground. Background technique [0003] Automobile reliability test is an important means to assess and evaluate the durability of vehicles. In order to ensure that the vehicle components do not break under the worst working conditions, the vehicle is required to complete the reliability of not less than the set mileage on various strengthened roads. test. The test personnel specified the enhanced road type and mileage that the vehicle needs to be tested by formulating reliability test specifications. Since the length of the enhanced road section built in the test field is fixed, the mileage indicator is represented by the number of times each enhanced road section passes in the test specifica...

Claims

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Application Information

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IPC IPC(8): G01C21/20G01M17/007G06N3/00
CPCG01C21/20G01M17/007G06N3/006
Inventor 秦文虎方阳孙立博李凡
Owner SOUTHEAST UNIV