Pontis: A system for maintenance optimization and improvement of US bridge networks
Pontis: A system for maintenance optimization and improvement of US bridge networks
复制标题
DOI：
10.1287/inte.27.1.71
复制
发表时间：
1997-01-01
期刊：
影响因子：
--
通讯作者：
Shepard, R
中科院分区：
文献类型：
--
作者：
Golabi, K;Shepard, R
Pontis 提供了一种系统的方法来分配资金，评估桥梁当前和未来的需求以及满足这些需求的选项，并在整体网络效益、预算和限制的背景下为每座桥梁推荐最佳政策。经过在加利福尼亚州的试点实施以及在多个州的广泛测试后，该系统被 AASHTO（美国国家公路官员协会）采用。目前，已有 40 多个州正在实施 Pontis。 Pontis 的核心是一组预测和优化模型，这些模型从判断、工程和经济模型以及各种数据库中获取信息。预测模型从基于工程的主观输入开始，并在收集数据时在贝叶斯环境中进行自我更新。优化模型由相互关联的马尔可夫决策模型和数学规划工具和模型组成。
Pontis provides a systematic methodology for allocating funds, evaluating current and future needs of bridges and options to meet those needs, and recommending the optimal policy for each bridge in the context of overall network benefits, budgets, and restrictions. After a trial implementation in California and extensive testing in several states, the system was adopted by AASHTO (Association of American State Highway Officials). Currently, over 40 states are implementing Pontis. At the heart of Pontis is a set of predictive and optimization models which derive their information from judgmental, engineering, and economic models and various databases. The predictive models start with engineering-based subjective inputs and update themselves in a Bayesian context as data is collected. The optimization models consist of interrelated Markov decision models and mathematical programming tools and models.