ABSTRACT

Aged road pavements and insufficient maintenance budgets, along with increasing concerns over the environmental issues related to transportation have introduced additional challenges to highway agencies. Multiobjective optimisation techniques can be used to account for those multiple aspects in the design of maintenance and rehabilitation (M&R) strategies. Contrary to the single-objective optimisation problems where a single solution is optimal, the solution of multiobjective optimisation problems is a set of non-dominated solutions, often referred to as Pareto-optimal set. This set of optimal solutions represents the trade-off between the different and often conflicting objectives, and in many cases is comprised by a vast number of elements. This paper presents the development and application of a fuzzy logic expert system for selecting a single solution from the Pareto set obtained from the multiobjective optimisation of sustainable pavement M&R strategies. It provides decision-makers with an easy and intuitive methodology for the selection of the most preferred solution according to sustainability criteria. The proposed system is applied to a case study from France. Posteriorly, different strategies reflecting the decision-maker’s preferences towards economic and environmental objectives are analysed. Conclusions and recommendations for future improvements are derived from this application.

摘要

老化的道路路面和不足的维护预算，以及对与交通相关的环境问题的日益关注，给公路机构带来了额外的挑战。多目标优化技术可用于考虑维护和修复 (M&R) 策略设计中的多个方面。与单一解最优的单目标优化问题相反，多目标优化问题的解是一组非支配解，通常称为帕累托最优集。这组最佳解决方案代表了不同且经常相互冲突的目标之间的权衡，并且在许多情况下由大量元素组成。本文介绍了模糊逻辑专家系统的开发和应用，用于从可持续路面 M&R 策略的多目标优化获得的帕累托集中选择单一解决方案。它为决策者提供了一种简单直观的方法，用于根据可持续性标准选择最优选的解决方案。建议的系统应用于法国的案例研究。随后，分析了反映决策者对经济和环境目标偏好的不同策略。来自该应用程序的结论和对未来改进的建议。它为决策者提供了一种简单直观的方法，用于根据可持续性标准选择最优选的解决方案。建议的系统应用于法国的案例研究。随后，分析了反映决策者对经济和环境目标偏好的不同策略。来自该应用程序的结论和对未来改进的建议。它为决策者提供了一种简单直观的方法，用于根据可持续性标准选择最优选的解决方案。建议的系统应用于法国的案例研究。随后，分析了反映决策者对经济和环境目标偏好的不同策略。来自该应用程序的结论和对未来改进的建议。