网络层面的路面维护和修复决策与优化年度预算的决策
Lin Chen1,2
1College of Transportation Engineering, Chang'an University, Xi'an, China.
PloS one
|October 26, 2023
概括
本研究引入了一种多目标优化 (MOO) 方法,以确定最佳的年度预算和拨款用于路面维护和恢复 (M&R). 该方法平衡了最小化的成本与最大化的M&R效益,以实现高效的网络管理.
科学领域:
- 土木工程 土木工程是指土木工程.
- 运输工程 运输工程
- 运营研究 运营研究
背景情况:
- 路面网络需要持续的维护和康复 (M&R) 才能保持良好的状态.
- 由于这些项目的资本密集性,资金不足是M&R的一个主要挑战.
- 年度预算的确定对于M&R规划至关重要,但通常在没有彻底分析的情况下预先确定.
研究的目的:
- 开发一种新的多目标优化 (MOO) 方法,以确定最佳的年度预算及其用于路面M&R的分配.
- 通过将预算确定与分配策略相结合,加强网络层面的M&R决策.
- 解决与确定M&R年度预算有关的研究差距.
主要方法:
- 开发了一种多目标优化 (MOO) 方法,以同时优化预算水平及其在路面网络上的分配.
- 该方法考虑了最小化年度预算和最大化在各种约束下M&R利益之间的权衡.
- 一个涉及50个路面段的案例研究被用来验证该方法的有效性.
主要成果:
- MOO方法成功地确定了最小化的年度预算和最大化的M&R利益之间的非线性,离散关系.
- 在整个网络中,针对每个M&R决策生成了优化的年度预算拨款.
- 通过案例研究,开发的方法在实际应用中证明了其有效性.
结论:
- 开发的MOO方法为优化路面M&R融资决策提供了有效的框架.
- 这种方法可以显著提高网络层面的M&R规划的效率和信息性.
- 这些发现有助于通过优化预算分配和最大化收益来更好地管理路面.
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