The U.S. Federal Highway Administration winter road Maintenance Decision Support System (MDSS): Recent enhancements & refinements
The U.S. Federal Highway Administration winter road Maintenance Decision Support System (MDSS): Recent enhancements & refinements
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美国联邦公路管理局冬季道路维护决策支持系统 (MDSS)：最新增强功能
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
W. Mahoney
中科院分区：
文献类型：
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作者：
Kevin R. Petty;W. Mahoney
为了减轻与冬季养护决策有关的挑战，美国联邦公路管理局启动了一个旨在开发冬季道路养护决策支持系统的项目。MDSS项目的目标是构建一个功能原型MDSS，可以提供客观的指导，冬季道路养护决策者关于适当的处理策略（处理类型，时间，速度和位置），用于控制道路积雪和冰在不利的冬季天气事件，并开发一个原型，也将作为一个催化剂，由私营部门进行更多的研究和开发。迄今为止，MDSS原型代码的五个版本已免费提供给地面交通利益相关者社区。示范样机利用美国国家气象局的当前天气观测和数值模型预测，对特定航线的大气状况进行分析和预报（最长48小时）。该系统的当前版本使用加拿大环境部开发的能量和质量平衡模型METRo，以生成沿着每条感兴趣路线的路面状况预测。处理建议，这是有效的除冰和防冰操作的标准规则的基础上，构建使用当前和预测的大气和道路状况信息。预测数据和治疗建议沿着通过基于Java的交互式显示器呈现给最终用户。通过这个界面，用户可以检查和选择系统产生的推荐治疗策略，以及调查替代行动方案，并确定行动或不行动的预期后果。在过去的三年中，FHWA MDSS原型已经在科罗拉多进行了演示。在此期间，丹佛大都会地区的维护经理可以访问该系统。由于开展了示范活动，最近主要根据最终用户的反馈和吸取的经验教训，对MDSS进行了一些改进和完善。本文全面概述了FHWA MDSS 5.0版原型，包括最新的系统增强和更改。
In an effort to mitigate the challenges associated with winter maintenance decisions, the United States Federal Highway Administration initiated a project aimed at developing a winter road Maintenance Decision Support System (MDSS). The goals of the MDSS project are to construct a functional prototype MDSS that can provide objective guidance to winter road maintenance decision makers concerning the appropriate treatment strategies (treatment types, timing, rates, and locations) to use to control roadway snow and ice during adverse winter weather events, and develop a prototype that will also serve as a catalyst for additional research and development by the private sector. To date, five versions of the MDSS prototype code have been made freely available to the surface transportation stakeholder community. The demonstration prototype uses current weather observations and numerical model predictions from the United States National Weather Service to create route-specific analyses and forecasts (out to 48 hours) of atmospheric conditions. The current version of the system uses METRo, an energy and mass balance model developed by Environment Canada, to generate predictions of pavement conditions along each route of interest. Treatment recommendations, which are based on standard rules of practice for effective deicing and antiicing operations, are constructed using current and forecasted atmospheric and road condition information. Forecast data, along with treatment recommendations, are presented to end users via an interactive Java-based display. Through this interface, users can examine and select recommended treatment strategies produced by the system, as well as investigate alternative courses of action and ascertain the anticipated consequences of action or inaction. Over the last three years, the FHWA MDSS prototype has been demonstrated in Colorado. During this period, the system was accessible to maintenance managers in the Denver Metropolitan area. As a result of the demonstration activities, the MDSS has undergone a number of recent improvements and refinements, which have been based primarily on end user feedback and lessons learned. This paper provides a comprehensive overview of the FHWA MDSS Release 5.0 prototype, including the latest system enhancements and changes.