Year: 2025
Type: article
Abstract: This research explores optimization of traffic management and Vehicle-to-Everything (V2X) communication for efficient mining operations. The study introduces a comprehensive framework leveraging V2X technology, D* Lite pathfinding algorithms, and intelligent decision-making protocols to enhance safety and efficiency of autonomous mining equipment. The proposed system implements a four-layer architecture comprising perception, communication, decision-making, and control layers, operating at 10 Hz for real-time coordination. Through MATLAB-based simulations involving 20 autonomous vehicles over 1,000 time steps, the system demonstrates significant performance improvements: 27.5% reduction in travel time, 42.7% decrease in collision risk, and 86.3% enhancement in traffic flow efficiency compared to baseline systems. Additional benefits include 32.5% improvement in system stability, 23.2% increase in fuel efficiency, and 15.7% reduction in energy consumption. The mathematical models incorporating multi-objective optimization and graph-based representations validate the practical applicability and scalability for modern autonomous mining operations.
Institutions: University of Da Nang, University of Southern Denmark
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4415181928
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