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HTCPN-based airport tractor dynamic optimization scheduling method

A technology of dynamic optimization and scheduling method, applied in design optimization/simulation, instrument, data processing application, etc., can solve problems such as difficulty in realizing dynamic optimal scheduling of tractors and high price

Active Publication Date: 2020-06-19
CIVIL AVIATION UNIV OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the above simulation method is powerful, it is expensive, and the main object of the simulation is the aircraft, and only a small part of the function involves the vehicle scheduling process, so it is difficult to achieve the research goal of dynamic optimal scheduling of tractors

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  • HTCPN-based airport tractor dynamic optimization scheduling method
  • HTCPN-based airport tractor dynamic optimization scheduling method
  • HTCPN-based airport tractor dynamic optimization scheduling method

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Embodiment Construction

[0032] The HTCPN-based dynamic optimal scheduling method for airport tractors provided by the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0033] like figure 1 As shown, the HTCPN-based dynamic optimal scheduling method for airport tractors provided by the invention includes the following steps carried out in order:

[0034] (1) Analyze the problems existing in the current scheduling mode, design the dynamic optimization scheduling process according to the set dynamic optimization scheduling target, and establish the S1 stage of the dynamic optimization scheduling mathematical model;

[0035] According to the characteristics of tractor dispatching, the dispatching process is simplified into the following steps: First, the departure flight information is randomly generated according to certain rules, and the system arranges all departure flight information in non-descending order according to the e...

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Abstract

The invention discloses an HTCPN-based airport tractor dynamic optimization scheduling method. Aiming at the dynamic scheduling problem of the airport tractor, the invention designs a tractor dynamicscheduling simulation system based on a hierarchical timing coloring Petri net. After the randomness of each link in the operation process and possible pushout conflicts are considered, dynamic allocation of the tractors is completed according to pushout applications sent by the aircrafts in real time. On the basis of ensuring the minimum flight delay, the optimization targets of the highest working load balance degree and the shortest vehicle driving total distance among different vehicles are sequentially realized, and the effectiveness of optimization is verified through a Monte Carlo experiment. Finally, the system is used for completing the evaluation of the guarantee capability of the tractor of the target airport, and predicting the necessary tractor configuration number under different flight densities.

Description

technical field [0001] The invention belongs to the technical field of airport ground vehicle dispatching, in particular to an HTCPN-based dynamic optimization dispatching method for airport tractors. Background technique [0002] The rapid growth of air traffic has greatly increased the operating pressure on the airport scene. In large hub airports, delays caused by guaranteed vehicle dispatch accounted for 15.45% of all delays. At present, the tractors at most airports in my country rely on manual dispatching, and the staff dispatch qualified vehicles through visual and voice intercom. The outdated information acquisition methods and decision-making process lead to low dispatching efficiency during peak hours of flights, which in turn affects The punctuality of the flight. The problem of ground support vehicle scheduling continues to receive widespread attention from scholars at home and abroad, and the research methods mainly focus on two aspects: operations research met...

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Application Information

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IPC IPC(8): G06F30/27G06F30/20G06Q10/06G06Q50/30
CPCG06Q10/06311G06Q50/40Y02T10/40
Inventor 苏志刚赵松泽郝敬堂韩冰张亚娟
Owner CIVIL AVIATION UNIV OF CHINA