Collaborative optimization of construction road sensing equipment siting and construction material transportation paths on mountain highways
山区高速公路施工路况感知设备选址与施工物料运输路径协同优化

摘要

目的 为解决山区高速公路施工中因路况信息缺失导致的物料运输效率低、成本高问题，提出一种结合雷视一体机布设与运输路径优化的协同优化方法。方法 构建双层优化模型，上层以综合成本最小化为目标优化雷视一体机布设方案，下层在此基础上优化运输路径以最小化运输时间，通过迭代算法实现上下层协同优化，并以案例验证模型的有效性和鲁棒性。结果 案例分析表明，协同优化方案将平均运输时间减少33.8%，总成本降低19.4%，显著提升了运输效率和成本效益。敏感性分析显示模型对不同参数变化具有较强鲁棒性。结论 提出的双层优化模型通过协同优化显著降低了运输时间不确定性和工期延误损失，为复杂施工环境下的物料运输提供了理论支持和实践参考。

Abstract

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.