Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI in the Automotive Industry

Optimized and Routed Wiring Harness Based on Zonal Clustering Concept Using AI in the Automotive Industry

This paper presents an AI-driven approach for multi-zonal clustering and harness routing optimization in automotive electrical/electronic (E/E) systems. A methodology integrating K-means clustering with dynamic grid-based routing algorithms (A* and Bresenham’s line algorithm) is applied t...

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Bibliographic Details
Main Authors: Md Sanowar Hossain, Hafiz Abdul Quddus, Ziya Cevahir, Alexander Jesser
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
A* algorithm
automotive electrical/electronic (E/E) architecture
Bresenham’s algorithm
clustering algorithms
grid-based routing
high-performance computer (HPC)
Online Access:https://ieeexplore.ieee.org/document/11106460/
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