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Track Ⅻ

Innovative Paradigms of Multimodal Transport Driven by Next-Generation Information Technology

(新一代信息技术驱动的多式联运创新范式)

 

 

 

Chair:

Co-chair:

Guangnian Xiao

Jinpei Li

Shanghai Maritime University, China

Beijing University of Chemical Technology, China

 

Keywords:

Topics:

· Multimodal Transport (多式联运)

· Artificial Intelligence (AI) (人工智能)

· Internet of Things (IoT) (物联网)

· Digital Twin (数字孪生)

· Smart Logistics (智能物流)

· AI-based Route Optimization, Intelligent Scheduling, Demand Forecasting, and Freight-capacity Matching Algorithms for Multimodal Transport (基于人工智能的多式联运路径优化、智能调度、需求预测与运力匹配算法)

· Big Data Analytics for Multimodal Transport Network Performance Evaluation, Bottleneck Identification, and Risk Assessment  (基于大数据的多式联运网络性能评估、瓶颈识别与风险预警)

· Application of IT for Energy Saving, Emission Reduction, and Carbon Footprint Accounting in Multimodal Transport (利用信息技术实现多式联运的节能减排与碳足迹核算)

· Technologies and Strategies for Enhancing the Resilience of Multimodal Transport Systems Against Disruptions (提升多式联运系统应对突发事件韧性的技术与策略)

 

Summary:

· Multimodal transport, a cornerstone of modern logistics and global supply chains, faces persistent challenges in efficiency, coordination, transparency, and resilience. The rise of next-generation information technologies—such as Artificial Intelligence (AI), the Internet of Things (IoT), Big Data, Blockchain, and Digital Twins—is revolutionizing every facet of multimodal operations, giving birth to entirely new operational and management paradigms. This shift transcends the simple digitization of traditional processes; it represents a move towards a new model characterized by data-driven intelligent decision-making, end-to-end real-time visibility, and trusted collaboration among diverse stakeholders. This enables dynamic optimization of transport resources, predictive maintenance across the entire process, and rapid response to external disruptions. This Special Session aims to bring together the latest research in this vibrant field, exploring how next-generation IT is reshaping the theoretical foundations, technological architectures, business models, and governance strategies of multimodal transport. Sharing cutting-edge insights and pioneering work around multiple dimensions such as technological innovation, system integration, application practices, and policy standards, jointly promoting multimodal transport towards a smarter, more efficient, green, and resilient future.  

 

· 多式联运作为现代物流与全球供应链的核心支柱，正面临着效率、协同、透明度和韧性等方面的挑战。以人工智能、物联网、大数据、区块链和数字孪生为代表的新一代信息技术，正以前所未有的深度和广度渗透到多式联运的各个环节，催生了全新的运营与管理范式。这种新范式不再是传统流程的简单数字化，而是通过数据驱动的智能决策、全链条的实时可视、跨主体的可信协同，实现运输资源的动态优化、全流程的预测性维护和对外部扰动的快速响应。专题旨在汇集该领域的最新研究成果，探讨新一代信息技术如何重构多式联运的理论基础、技术架构、商业模式与治理策略，围绕技术创新、系统集成、应用实践与政策标准等多个维度，分享前沿见解与开创性工作，共同推动多式联运迈向更智能、高效、绿色和更具韧性的未来。

 

Submission Deadline: 2025.10.15