Prediction method of truck travel time in open pit mines

Date

2023-07

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DOI

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Type

Conference

Peer reviewed

Yes

Abstract

Aiming at the prediction of truck travel time in open pit mines, we established a prediction model based on long short-term memory(LSTM). This model fully accounts for 11 factors, including the nature of trucks, weather, road conditions, and driver’s behaviors, as well as the influence of neighbor road segments in the route on the current predicted road segment. The experiment shows that the error of the LSTM prediction model is significantly reduced compared with SVR and BP models. In addition, the maximum absolute mean error under different conditions is less than 12 seconds.

Description

Keywords

Travel Time Prediction, Open Pit Truck, LSTM

Citation

Ao, M., Li, C., Zeng, S.and Yang, S. (2023) Prediction method of truck travel time in open pit mines. Proceedings of the 42nd Chinese Control Conference, 2023.

Rights

Research Institute

Institute of Artificial Intelligence (IAI)