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Research on overhead transmission line planning based on an improved A* algorithm.

Kongyang Chen¹, Xiaodong Ma², Rui Guo²

¹Suzhou Electric Power Design Institute Co., Ltd, Suzhou, 215000, China. chenkygz1@163.com.

Scientific Reports

|May 13, 2026

Summary

This summary is machine-generated.

This study introduces an improved A* algorithm for overhead transmission line route planning. It balances path length, terrain, risk, and turning angles, enhancing safety and efficiency.

Keywords:

Cost function optimization Improved A* algorithm UAV oblique photogrammetry overhead transmission line planning

Related Experiment Videos

Area of Science:

Engineering
Computer Science
Environmental Science

Background:

Overhead transmission line route planning faces challenges with traditional Dijkstra and RRT algorithms, including excessive turning angles and terrain sensitivity.
Existing methods often struggle to balance multiple critical factors like path length, terrain undulation, risk area crossings, and turning angles.

Purpose of the Study:

To develop an improved A*-based route planning method for overhead transmission lines.
To address limitations of traditional algorithms by incorporating a multi-source constraint cost function for balanced optimization.

Main Methods:

An improved A* algorithm was developed using a novel multi-source constraint cost function.
The cost function simultaneously evaluates path length, terrain undulation, risk area crossings, and turning angle.
Comparative experiments were conducted against Dijkstra and Rapidly-exploring Random Tree (RRT) algorithms.

Main Results:

The proposed A* method achieved optimal performance with a path length of 5482 m, average terrain undulation of 1.9 m, six crossings, and a 51.8° turning angle.
Compared to Dijkstra and RRT, the improved A* method reduced total turning angle by 28.6% and 46.5%, respectively.
The method demonstrated improved route smoothness, environmental adaptability, and minimized cross-terrain risk while maintaining competitive path length.

Conclusions:

The improved A* route planning method offers a more balanced optimization across multiple critical metrics for transmission lines.
The proposed approach enhances route smoothness and environmental adaptability, ensuring routing feasibility for intelligent planning.
This method provides valuable insights and references for practical engineering applications in transmission line route selection.