Route selection for mine haulage road considering dynamic topographic changes and fuel consumption

The development of an open-pit mine haulage system relies on manual trial-and-error methods to determine route selection schemes, which have the problems of high subjectivity, low efficiency, and challenges in haulage cost optimisation. Based on analysing the balance between the driving force and resistance, and the power balance of mining dump truck engines, this study proposes a fuel consumption prediction model for mining electric wheel dump trucks. A fuel consumption cost grid is constructed based on the fuel consumption prediction model, and fuel consumption costs and terrain elevation differences are used as comprehensive costs. This study proposes a haulage road route selection algorithm based on minimising the comprehensive costs and ensuring route smoothness, thereby optimising route selection outcomes. This approach offers valuable guidance for designing efficient haulage systems in open-pit mine development. [Received: June 24, 2024; Accepted: September 11, 2024]