ETI: Design and Evaluation of a Hierachical Highway Network Structure and a Decision Support System with Surveillance Information to Enhance Business Partnerships in the E-Market

该运输工业工程探索性研究（ETI）奖旨在调查基于网格的公路系统多层网络体系结构的有效性，该体系结构将可扩展到包括其他运输模式。骨干网和接入网这两个子网代表了高速公路系统。州际公路形成的网格边界界定了主干网。每个网格都有自己的接入网，由边界网关（接口节点）连接。开发了决策支持系统（DSS）框架，为B2B和B2C运输以及高速公路监控提供支持。先进的传感器用于收集交通和车辆数据。在主干网上，识别传感器当前可用的位置。为传感器部署选择新的位置，并为这些位置定义传感器类型。从各种传感器收集的数据将转化为知识，供决策模型和路线规划算法使用。将研究集线器位置选择、同步负载路由和整合以及拥塞和流量控制的有效优化方法。多层高速公路表示允许设计上的可伸缩性。如果研究结果令人满意，则可以通过在体系结构中添加层次来扩展该模型以表示多式联运。骨干网络上的战术决策对任何运输公司的运营都至关重要，并且可以由所有运输公司共享。监控数据与决策支持系统的无缝集成，在多层高速公路网络架构上提供有效的负载整合和路由调度，这是一种新颖的方法，将增强电子市场中的B2B关系。在主干网上部署传感器技术还可以用于公路安全和维护等其他决策。

This Exploratory Research on Engineering the Transport Industries (ETI) award is to investigate the effectiveness of grid-based multi-tier network architecture for the highway system, which will be expandable to include other transport modes. Two subnetworks, backbone and access networks, represent the highway system. Interstate highways forming grid boundaries define the backbone network. Each grid has its own access network connected by border gateways (interface nodes). A framework for a decision support system (DSS) is developed to provide support for B2B and B2C transportation as well as support for highway monitoring. Advanced sensors are used to collect traffic and vehicular data. On the backbone network, locations where sensors are currently available are identified. New locations are selected for sensor deployment and sensor types are defined for these locations. The data collected from various sensors will be converted into knowledge to be used by decision models and route planning algorithms. Efficient optimization methods for hub location selection, synchronized load routing and consolidation, and for congestion and flow control will be investigated. The multi-tier highway representation allows for scalability in design. If research results are found promising, the model can be expanded to represent inter-modal transport by adding levels to the architecture. Tactical decisions on the backbone network are critical to operations of any transport company and can be shared by all. Seamless integration of surveillance data with the decision support system to provide efficient load consolidation and routing schedules over the multi-tier highway network architecture is novel and will lead to enhanced B2B relations in the e-marketplace. Deployment of sensor technology on the backbone network can also be used for other decisions such as highway safety and maintenance.