CAREER: Dynamic Freight and Fleet Management: Modeling, Algorithm Development and Implementation

动态货运和车队管理：建模，算法开发和实施拟议的项目涉及一个综合的研究和教学计划的发展。 它的教育目标是定义在运输系统工程（系统分析和应用运筹学），其中包括一个重要的物流组件的研究生课程的目标，以创建货运网络分析和物流的研究生序列，并指导在计算机和数学方法土木和环境工程四门课程的本科序列的发展。 研究重点是动态货运和车队管理领域。随着客户需求、交通网络状况和资源（车辆、驾驶员、维修设备等）可用性的变化，商用车辆运营越来越多地被要求实时决策的运营所主导。发生. 适用于实时操作的先进信息技术的快速发展已经超过了支持动态车队管理的算法和可实施系统的发展。 拟议的研究涉及算法的开发，专门针对时间约束和随机的车队和货运管理系统，再加上建模工作，重点是货运网络的表示与足够程度的操作现实主义，以合理的推断成功实施的算法开发的可能性。应用包括卡车运输业务（长途卡车装载、非卡车装载以及海港、铁路终点站和航空货运站之间的多式联运）、本地包裹拾取和交付业务以及城市服务车队。

Dynamic Freight and Fleet Management: Modeling, Algorithm Development and ImplementationThe proposed project involves the development of an integrated research and teaching program. Its educational aim is to define the goals of a graduate program in transportation systems engineering (systems analysis and applied operations research) which includes a significant logistics component, to create a graduate sequence in freight network analysis and logistics and to guide the development of a four course undergraduate sequence in computer and mathematical methods for Civil and Environmental Engineering. The research focus is in the area of dynamic freight and fleet management. Commercial vehicle operations are increasingly dominated by operations which require that decisions be made in real-time, as changes in customer demands, traffic network conditions, and the availability of resources (vehicles, drivers, repair equipment, etc.) occur. The rapid development of advanced information technologies suitable for use in real-time operations has outpaced the development of algorithms and implementable systems to support dynamic fleet management. The proposed research involves algorithm development aimed specifically at time-constrained and stochastic fleet and freight management systems coupled with modeling efforts which focus on the representation of freight transportation networks with a sufficient degree of operational realism in order to draw reasonable inferences into the likelihood of successful implementation of the algorithms developed. Applications include trucking operations, (long haul truckload, less-than-truckload and intermodal drayage between maritime ports, railheads and air freight terminals), local package pickup and delivery operations and urban service fleets.