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开发一个集成的研究和教学计划。它的教育目标是确定交通系统工程(系统分析和应用运筹学)研究生课程的目标，其中包括重要的物流组成部分，创建货运网络分析和物流研究生序列，并指导土木工程和环境工程计算机和数学方法四门课程的本科序列的发展。研究的重点是动态货运和船队管理领域。随着客户需求、交通网络状况和资源(车辆、司机、维修设备等)可用性的变化，商用车运营越来越多地被要求实时做出决策的运营所主导发生。适用于实时作战的先进信息技术的快速发展已经超过了支持动态舰队管理的算法和可执行系统的发展。建议的研究包括专门针对时间受限和随机的车队和货运管理系统的算法开发，以及建模工作，该建模工作集中于货运网络的表示具有足够的操作真实性，以便对所开发的算法成功实施的可能性进行合理的推断。应用领域包括卡车运输业务(长途卡车运输、零担运输以及海运港口、铁路总站和航空货运站之间的多式联运)、当地包裹提送业务和城市服务车队。

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.