Abstract: Truck transportation is an important link in open-pit mine production management， thus reasonable control of truck transport energy consumption and carbon emissions is an important measure to protect resources and environment in the context of low-carbon economy. Under the low carbon constraints， the problem of fuel consumption， carbon emission cost and truck activation cost are optimized for open-pit mine truck transportation. Considering multiple transportation routes and production tasks between each loading point and each unloading point， the minimum energy consumption model of open-pit mine trucks under energy consumption and low-carbon constraints were established. Then the model was solved by IAS algorithm， the energy consumption of truck transportation was optimized， and three different objective functions were compared. Finally， the optimization model is verified by an example， and the results show that the optimization research can effectively reduce transportation costs in open-pit mine. Meanwhile， it can also reduce the number of trucks and the operating cost of mining enterprises， and provide a guarantee for the construction of resource-saving and environment-friendly mines.

Key words: Truck transportation, Fuel consumption cost, Carbon emissions, Low carbon limit