Advanced methods for intelligent interurban freight transportation and logistics

ClearDestination是一家创新且成功的加拿大中小企业，位于蒙特利尔，提供端到端的交付管理解决方案。该公司决定通过以技术为基础的业务和运营模式，将其活动扩展到城市间市场，该模式扩展了以所有相关方的利益为目标的整合和共享的新兴概念，并需要先进的基于数据的决策支持方法。建立这些方法的科学和原型是这个项目的目标，它汇集了运筹学和分析、运输和物流科学以及信息技术方面的专家。我们专注于系统的设计、规划和管理以及相关的方法挑战。我们将追求三个相关目标：1)开发所需的前沿模型、方法、原型；2)传播科学成果，嵌入先进的决策支持平台，向合作伙伴传递；3)为学术界和实践培训HQP。结果是，据我们所知，最全面的合作研究项目之一，适用于加拿大和其他地方的交通规划；它分为三个紧密相连的方面：优化系统操作；商业模式和智能规划，以及数据驱动的优化和决策。将开发的新科学技术将使公司获得重要的竞争优势，为改善货运管理提供新的解决方案，并将推动其在未来几年的增长。该项目将提供所需的数据驱动的操作和战术优化、预测、收益管理、可追溯性和机器学习能力。该项目还将对培训高素质人员、科学知识和运输科学应用作出重大贡献。

ClearDestination is an innovative and successful Montreal-based Canadian SME providing end-to-end delivery management solutions. The company decided to expand its activities to the interurban market through a technology-based business and operational model, which expands the emerging concepts of integration and sharing aiming for benefits for all concerned, and requires advanced data-based decision-support methods. Building the science and prototypes of these methods is the goal of this project, which brings together specialists in operations research and analytics, transportation and logistics science, and information technology. We focus on the design, planning and management of the system and the associated methodological challenges. We will pursue three related objectives: 1) Develop the required cutting-edge models, methods, prototypes; 2) Disseminate scientific results and embed them into advanced decision-support platform for transfer to the partner; 3) Train HQP for academia and practice. The result is, to the best of our knowledge, one of the most comprehensive collaborative research projects applied to transportation planning in Canada and elsewhere; it is structured into three strongly interconnected facets: Optimized System Operation; Business Models & Smart Planning, and Data-driven Optimization & Decision Making. The novel science and technologies that will be developed will enable the company to gain an important competitive advantage, offering new solutions for improved management of freight transportation, and will drive its growth in the coming years. The project will provide the needed data-driven operational and tactical optimization, forecasting, revenue management, traceability and machine-learning capabilities. The project will also make significant contributions to the training of highly-qualified personnel and to scientific knowledge and transportation-science applications.