Temporary haul roads are typically designed and constructed to handle mass earthworks in heavy civil and industrial construction, critical to achieving haulage efficiency and safety in earthmoving operations. Traditional temporary haul road layout design has long been based on experience rather than science. Previous research endeavors developed mathematical models and solution algorithms in an attempt to explore the possibility of analytically addressing temporary haul road layout design problems, while achieving limited progress. This study introduces a grid-based optimization methodology by adopting a Mixed-Integer Linear Programming (MILP) model, aimed to generate the optimal layout solution in real-world applications. The optimization processes and results are illustrated with a practical engineering case. A comparison of different layout designs for the same case, including the heuristics-based field design and analytical designs resulting from recent research, shows that the proposed methodology is capable of producing optimal solutions to temporary haul road layout design problems.
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