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首页> 外文期刊>International journal of sustainable transportation >Multiobjective optimization of asphalt pavement design and maintenance decisions based on sustainability principles and mechanistic-empirical pavement analysis
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Multiobjective optimization of asphalt pavement design and maintenance decisions based on sustainability principles and mechanistic-empirical pavement analysis

机译：基于可持续性原理和机械-经验路面分析的沥青路面设计和维护决策的多目标优化

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摘要

Highway pavement as an important component of transport infrastructure has significant impacts on economy, society, and environment. The management of highway pavement has been traditionally focused on economy. In this study, the impacts of management decisions are examined in three dimensions, including life-cycle cost (LCC), energy consumption, and greenhouse gas (GHG) emissions. Quantitative models to predict the three dimensions are developed from mechanistic-empirical pavement analysis results. Two decision variables, pavement thickness and threshold roughness level for pavement resurfacing, are found to be significant in affecting the three dimensions. These two variables are subsequently used as decision variables in multiobjective optimization. The ranges of decisions that result in minimum LCC, energy consumption, and GHG emissions are identified through multiobjective optimization. Although the analysis is illustrated in the context of pavement design and management in Hong Kong, the analysis techniques and procedures can be easily applied in other regions.
机译：公路路面作为交通基础设施的重要组成部分，对经济，社会和环境产生重大影响。传统上，公路路面的管理一直侧重于经济。在本研究中，从三个方面检查了管理决策的影响，包括生命周期成本（LCC），能源消耗和温室气体（GHG）排放。从力学-经验路面分析结果建立了预测这三个维度的定量模型。已发现两个决定变量，即路面厚度和路面重铺的阈值粗糙度水平，对影响这三个方面非常重要。随后将这两个变量用作多目标优化中的决策变量。通过多目标优化来确定导致最小的LCC，能耗和GHG排放的决策范围。尽管分析是在香港路面设计和管理的背景下进行的，但是分析技术和程序也可以很容易地应用于其他地区。

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