Models and methods for smart transportation and logistics

运输与物流(TL)系统是人类社会和现代经济的命脉，同时也带来了污染、拥堵、能源消耗等方面的重大挑战。我们提出了一个全面的研究计划，旨在综合研究城际和城市货运系统、它所实现的物流网络以及相关的方法学问题。运筹学(OR)为这些系统的分析、评估和优化规划和管理所需的先进模型和方法提供了科学框架，而这些模型和方法反过来又挑战了这一学科，并推动了它的持续发展。我们的长期目标是1)促进OR和TL方面的知识并传播结果；2)将这些知识实例化为创新的方法和决策支持软件，以便转移到实际用户；3)为学术界和工业界/机构培养HQP；4)以最好的方式应对挑战，同时为我们的公司和TL系统实现最高水平的效率、盈利能力、竞争力和低环境足迹，以支持我们城市和社会的可持续发展。短期目标针对的是知识差距和核心目标语言规划问题。我们的目标是在以下方面取得重大进展：1)集成复杂约束、多层决策和不确定性的大规模网络设计；2)具有多个决策层和同步的多属性时变车辆路径问题；3)网络和组合优化的协同并行求解方法；4)考虑新的运营策略和不确定性的多式联运运输和物流网络战术规划的服务网络设计；以及5)城市物流系统的设计和规划，涉及管理城市货运的新组织和商业模式，以在可持续城市发展的背景下减少拥堵、排放和噪音水平。该计划在解决的主题以及方法和应用问题的整合方面具有原创性，并与科学挑战和其目标的高度经济和社会应用相关。它在开发的方法上是创新的。强调其原创性和巨大创新和影响潜力的关键特征包括整合以前单独解决的规划问题，定义和研究新的组织和商业TL模型，并明确考虑不确定性、能源消耗和环境影响，以产生更稳健、更具弹性和更可持续的计划和系统。该研究计划预计将对科学知识做出重大贡献，并通过技术转让提高加拿大运输和物流系统的效率和生产率。我们的成果将通过演示文稿、技术报告和被引用期刊上的论文广泛和公开地传播。我们解决了主要的运筹学问题，并期望我们的结果不仅可以改变最新的技术水平和解决问题的方式，而且还可以在网络设计、路由、随机程序的方法、元启发式和并行计算方面开辟新的研究视角。我们研究城市和城际交通和物流的核心问题。我们正在制定城市物流系统规划的标准，并期待与当局一起应对加拿大城市面临的这些挑战。我们期待我们的成果有助于提高TL系统在经济、服务质量和社会影响方面的效率，从而为我国城市和国家的可持续发展做出贡献。

Transportation & Logistics (TL) systems are the lifeblood of human society and modern economies, while also raising major challenges in terms of pollution, congestion, energy consumption, etc. We propose a comprehensive research program targeting the integrated study of interurban and urban freight transportation system, the logistics networks it enables and the associated methodological issues. Operations Research (OR) provides the scientific framework for the advanced models and methods required by the analysis, evaluation, and optimized planning and management of these systems that, in turn, challenge the discipline and motivate its continuous development.Our long-term objectives are to 1) advance knowledge in OR and TL and disseminate the results; 2) instantiate this knowledge into innovative methods and decision-support software for transfer to actual users; 3) train HQP for both the academic and the industrial/institutional worlds; 4) contribute to meet in the best possible way the challenge of simultaneously achieving the highest level of efficiency, profitability, competitiveness and low environmental footprint for our firms and TL systems, to support the sustainable development of our cities and society. The short-term objectives target gaps in knowledge and core TL planning issues. We aim for significant advances in 1) large-scale Network Design integrating complex constraints, several layers of decisions, and uncertainty; 2) multi-attribute time-dependent Vehicle Routing Problems with several decision layers and synchronization; 3) cooperative Parallel Solution Methods for network and combinatorial optimisation; 4) Service Network Design for the tactical planning of modal/intermodal carriers and logistics networks, accounting for novel operation strategies and uncertainty; and 5) the design and planning of City Logistics systems concerned with new organizational and business models for the management of city freight movements to decrease congestion, emissions and noise levels within a sustainable urban development context.The program is original in the topics addressed and the integration of methodological and applied issues, and relevant in the scientific challenges and the high economic and societal applications it targets. It is innovative in the methods developed. Among the key characteristics underscoring its originality and great potential for innovation and impact are the integration of planning issues previously addressed separately, the definition and study of new organizational and business TL models, and explicitly accounting for uncertainty, energy consumption and environmental impacts to yield more robust, resilient, and sustainable plans and systems.The research program is expected to make significant contributions to scientific knowledge and, through technological transfer, increase the efficiency and productivity of Canadian transportation and logistics systems. Our results will be widely and openly disseminated through presentations, technical reports and papers in refereed journals. We address major OR problems and expect our results not only to modify the state of the art and the way problems are addressed, but also to open new research perspectives in network design, routing, methods for stochastic programs, meta-heuristics, and parallel computation. We study core issues in urban and interurban transportation and logistics. We are setting the standards in planning City Logistic systems and expect to accompany authorities in addressing these challenges for Canadian cities. We expect our results to contribute to enhancing the efficiency of TL systems in economic, service quality, and impact on society terms and, thus contribute to the sustainable development of our cities and country.