Automatic underground traffic control system

Author

Bhebe, Akabongwe

Title

Automatic underground traffic control system

Abstract

This document presents the design and implementation of an automated underground traffic control system tailored for mines utilizing mine vehicles. Underground tunnels in mining operations often accommodate two-way traffic despite being designed to fit only one vehicle at a time, leading to potential deadlock situations and safety hazards due to poor communication. The proposed system aims to mitigate these risks by preventing collisions between vehicles traveling in opposite directions within the tunnels. The background discusses the challenges associated with efficiently transporting ore and waste rock in underground mines, highlighting the reliance on mine trucks in situations where shaft hoisting is impractical. The problem statement emphasizes the significant safety concerns posed by manual traffic control methods, including vehicle accidents and potential loss of life, leading to increased costs and reduced productivity. The proposed traffic control system seeks to address these challenges by automating the monitoring and regulation of vehicle movements within the underground tunnels. By implementing sensors, communication systems, and automated control algorithms, the system aims to optimize traffic flow, minimize the risk of accidents, and enhance overall safety and efficiency in underground mining operations. The findings of this study underscore the potential benefits of deploying an automated underground traffic control system, including improved safety outcomes, reduced vehicle maintenance costs, and enhanced operational efficiency. Furthermore, the implementation of such a system aligns with industry trends towards increased automation and digitalization in mining operations, ensuring a safer and more sustainable future for underground mining environments.

Date

June 2025

Publisher

BUSE

Keywords

Automated underground traffic control

Mine vehicle management

Collision prevention

Traffic flow optimization

Supervisor

Engineer Komichi, S.