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

这项交通行业工程探索性研究（ETI）奖旨在研究基于网格的多层网络架构在高速公路系统中的有效性，该架构将扩展到包括其他交通方式。 两个子网，骨干网和接入网，代表高速公路系统。 形成网格边界的州际公路定义了骨干网络。 每个网格都有自己的接入网络，由边界网关（接口节点）连接。 一个决策支持系统（DSS）的框架开发，以提供支持B2B和B2C运输以及支持高速公路监控。 先进的传感器用于收集交通和车辆数据。 在骨干网络上，识别传感器当前可用的位置。 为传感器部署选择新位置，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被转换为决策模型和路线规划算法使用的知识。 有效的优化方法，枢纽位置的选择，同步负载路由和合并，并为拥塞和流量控制将进行研究。多层高速公路表示允许设计中的可伸缩性。 如果研究结果被发现是有前途的，该模型可以扩展到表示多式联运增加层次的架构。 骨干网络的战术决策对任何运输公司的运营都至关重要，并且可以由所有人共享。 无缝集成的监控数据与决策支持系统，以提供高效的负载整合和路由调度的多层公路网络架构是新颖的，并将导致增强B2B的关系，在电子市场。 在骨干网络上部署传感器技术也可用于其他决策，如公路安全和维护。

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.