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Traffic management in underground mines,especially on production ramps,is a difficult problem to optimize and control.Most operations use one of a few common policies;e.g.,the so-called ‘‘lock-out“ and‘‘loaded-vehicle-priority” policies.The work presented in this paper uses discrete-event simulation to study the efficiency of multiple policies.Based on simulation results,an improvement to the common lock-out policy is proposed.This new policy utilizes the rules of the lock-out policy but integrates an option that allows a group of vehicles to be given temporary priority in a certain direction of travel.Quantitative results are provided and,based on these,a systematic technique for ramp design that aims to optimize the efficiency of underground mine ramp traffic flow is described.
Traffic management in underground mines, especially on production ramps, is a difficult problem to optimize and control. Most operations use one of a few common policies; eg, the so-called “lock-out” and “loaded- priority ”. The work presented in this paper uses discrete-event simulation to study the efficiency of multiple policies. Based on simulation results, an improvement to the common lock-out policy is proposed. This new policy utilizes the rules of the lock -out policy but integrates an option that allows a group of vehicles to be given temporary priority in a certain direction of travel. Quantitative results are provided and, based on these, a systematic technique for ramp design that aims to optimize the efficiency of underground mine ramp traffic flow is described.