Journal of Engineering Research

Objective To address the challenges of low transportation efficiency and high costs caused by the lack of road condition information during highway construction in mountainous areas, a collaborative optimization method integrating radar-camera device deployment and transportation route planning is proposed. Methods A bi-level optimization model is developed, with the upper level minimizing total costs by optimizing the deployment of radar-camera devices, and the lower level minimizing transportation time based on the deployment plan. Collaborative optimization is achieved through an iterative algorithm, and the model’s effectiveness and robustness are validated through case studies. Results Case analysis shows that the collaborative optimization method reduces average transportation time by 33.8% and total costs by 19.4%, significantly improving transportation efficiency and cost-effectiveness. Sensitivity analysis demonstrates the model’s strong robustness to parameter changes. Conclusion The proposed bi-level optimization model effectively reduces transportation time uncertainty and project delay costs through collaborative optimization, providing theoretical support and practical reference for material transportation in complex construction environments.

Mountainous highway construction; Perception device placement; Transportation route optimization; Bi-level optimization model