ARGOS: Dynamic Composition of Web Services for Goods Movement Analysis and Planning

ARGOS：用于货物移动分析和规划的 Web 服务的动态组合

• 批准号: 0306905
• 负责人: Genevieve Giuliano
• 金额: --
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-01 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0306905&HistoricalAwards=false
• 关键词: ARGOS; Dynamic; Composition; Web; Services

This research will develop a flexible data query and analysis system based on the web services paradigm. As an application domain several goods movement planning problems will be examined along with their effects on spatial urban structure. The research has three objectives: 1) to advance computer science research by developing an expressive web services description language and techniques for dynamicallycomposing web services, 2) to develop and conduct test applications of an intra-metropolitan goods movement flow model using web services in cooperation with government partners, and 3) to use the model to conduct social science research on intra-metropolitan economic linkages and spatial structure. Although the focus is on the specific topic of urban goods movement, the approach to web service composition is general and can be applied to other scientific data gathering and analysis tasks. The first objective is to develop Argos, a general framework for dynamically composing web services. Many scientific problems can be modeled as a workflow that includes information gathering and processing operations. Argos will provide graphical tools for manual specification and composition of web services, as well as automatic composition based on expressive web service descriptions for given application domains (such as transportation planning). The second objective is to use Argos in an actual metropolitan planning application. In consultation with an advisory team of government representatives, from the Los Angeles County Metropolitan Transportation Authority, the San Bernardino Associated Governments, the Southern California Association of Governments and the Port of Long Beach. a scenario analysis using the Los Angeles region as a case study will be conducted. The scenario analysis will allow evaluation of Argos both in terms of its utility as a transportation planning tool as well as its ease of use by practitioners. The third objective is to extend the transportation planning domain to address problems of urban spatial structure that heretofore have not been practical for social science researchers to study due to the lack of tools for integrating and analyzing available data. There is an extensive theoretical literature on employment location; transport of freight inputs and outputs are critical elements of these models. Empirical research on employment location is limited, because of the lack of availability of freight flow data. The research team will analyze the relationships between industry mix, flows, and urban spatial structure, using the Los Angeles region as a case study.

本研究将发展一个弹性的资料查询与分析系统。作为一个应用领域，几个货物流动规划问题将被审查沿着他们对城市空间结构的影响。该研究有三个目标：1）通过开发富有表现力的网络服务描述语言和用于动态组合网络服务的技术来推进计算机科学研究，2）与政府合作伙伴合作，使用网络服务开发和进行城市内部货物流动模型的测试应用，（3）运用该模型对都市圈内经济联系和空间结构进行社会科学研究。虽然重点是城市商品运动的特定主题，Web服务组合的方法是通用的，可以应用于其他科学数据收集和分析任务。第一个目标是开发Argos，一个动态组合Web服务的通用框架。许多科学问题可以建模为包括信息收集和处理操作的工作流。Argos将为Web服务的手动规范和组合提供图形化工具，并为给定的应用领域（如交通规划）提供基于表达性Web服务描述的自动组合。第二个目标是在实际的大都市规划应用中使用Argos。与来自洛杉矶县大都会运输管理局、圣贝纳迪诺联合政府、南加州政府协会和长滩港的政府代表咨询小组协商。将以洛杉矶地区为案例进行情景分析。情景分析将允许评估Argos的效用作为一种交通规划工具，以及其易于使用的从业人员。第三个目标是扩大交通规划领域，以解决迄今为止，由于缺乏整合和分析现有数据的工具，社会科学研究人员无法实际研究的城市空间结构问题。关于就业地点有大量的理论文献;货运投入和产出的运输是这些模型的关键要素。由于缺乏货运流量数据，对就业地点的实证研究有限。研究小组将以洛杉矶地区为例，分析产业组合、流动和城市空间结构之间的关系。