Optimizing traffic management and V2X communication for efficient mining operations

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.

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Publication Details

Journal
The University of Danang - Journal of Science and Technology
Published
2025-09-30
DOI
https://doi.org/10.31130/ud-jst.2025.23(9c).542e
Primary Topic
Service-Oriented Architecture and Web Services
Type
article
Field-Weighted Citation Impact
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article

Optimizing traffic management and V2X communication for efficient mining operations

Quoc Thai Pham, Ngoc Phi Nguyen, Phuoc Vinh Dang, Ngoc Tam Lam
The University of Danang - Journal of Science and Technology
Service-Oriented Architecture and Web Services
article

Optimizing traffic management and V2X communication for efficient mining operations

Quoc Thai Pham, Ngoc Phi Nguyen, Phuoc Vinh Dang, Ngoc Tam Lam
article en

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.

The University of Danang - Journal of Science and Technology
University of Southern Denmark (DK), Liebherr (France) (FR), University of Da Nang (VN), Sygehus Sønderjylland (DK)
Openalex Percentile: Top 58%
Service-Oriented Architecture and Web Services
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Optimizing traffic management and V2X communication for efficient mining operations — Quoc Thai Pham, Ngoc Phi Nguyen, et al. · The University of Danang - Journal of Science and Technology (2025) | TGRS Research Map | TGRS