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Research on Taxiway Path Optimization Based on Conflict Detection.

Hang Zhou¹, Xinxin Jiang¹

¹Nanjing University of Aeronautics and Astronautics, College of Civil Aviation, Nanjing, 210016, Jiangsu, China.

|July 31, 2015

Summary

This study introduces an improved A* algorithm for aircraft taxiway path planning, enhancing safety and efficiency. The conflict detection strategy ensures optimized, secure routes, improving airport operations.

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Area of Science:

Aerospace Engineering
Computer Science
Operations Research

Background:

Efficient airport resource utilization is crucial.
Aircraft taxiing requires safe and optimized path planning.
Existing methods may not adequately address dynamic conflict detection.

Purpose of the Study:

To develop an intelligent taxiway path planning model incorporating conflict detection.
To enhance aircraft safety and operational efficiency during ground movement.
To validate the effectiveness of the proposed algorithm in a simulated airport environment.

Main Methods:

An improved A* algorithm with integrated conflict detection for static taxiway networks.
Determination of aircraft node time tables based on taxiing speed.
Utilizing safety intervals as constraints for conflict identification.
Development of an intelligent initial path planning model.

Main Results:

The proposed model effectively plans safe and optimized taxiway paths.
Conflict detection and resolution were successfully demonstrated in a simulation.
The improved A* algorithm significantly outperforms other intelligent algorithms.
Demonstrated improvements in safety and operational efficiency.

Conclusions:

The developed taxiway path planning model is effective and feasible.
The improved A* algorithm offers significant advantages for airport ground operations.
The approach enhances both safety and efficiency in aircraft taxiing.