Integrated sequential matching and routing approach for efficient and eco-friendly freight logistics

IF 7.6 1区工程技术 Q1 TRANSPORTATION SCIENCE & TECHNOLOGY

Transportation Research Part C-Emerging Technologies Pub Date : 2025-08-21 DOI:10.1016/j.trc.2025.105290

Elham Haji Sami , Ahmad Shahnejat Bushehri , Ashkan Amirnia , Asad Yarahmadi , Samira Keivanpour

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引用次数: 0

Abstract

Integrating smart technologies into freight operations is essential for achieving efficiency, sustainability, and cost-effectiveness in modern logistics. This research presents a novel smart freight platform to optimize matching and routing in freight logistics. The platform incorporates sequential matching and a dynamic bidding mechanism, including Pre-filter matching, Main matching, and Non-Contracted Shippers (NCS) matching models. It utilizes the Vehicle Routing Problem with Time Windows (VRPTW) model to align delivery schedules with shippers’ time windows. The proposed platform reduces resource consumption by minimizing empty truck routes through NCS alignment with en-route trucks. In particular, empty truck routes were reduced by %39, while gas emissions decreased by over nine tons daily. Therefore, the proposed platform not only improves freight efficiency but also contributes to environmental sustainability.

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集成顺序匹配和路由方法，高效和环保的货运物流

将智能技术整合到货运操作中对于实现现代物流的效率、可持续性和成本效益至关重要。提出了一种新型的智能货运平台，以优化货运物流中的匹配和路线。该平台结合了顺序匹配和动态竞价机制，包括预过滤匹配、主匹配和非签约托运人（NCS）匹配模型。它利用带有时间窗口的车辆路线问题（VRPTW）模型将交货时间表与托运人的时间窗口对齐。该平台通过NCS与途中卡车对齐，最大限度地减少了空卡车路线，从而减少了资源消耗。特别是，空车路线减少了39%，而气体排放量每天减少了9吨以上。因此，该平台不仅提高了货运效率，还有助于环境的可持续性。

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来源期刊

Transportation Research Part C-Emerging Technologies 工程技术-运输科技

CiteScore

15.80

自引率

12.00%

发文量

332

审稿时长

64 days

期刊介绍： Transportation Research: Part C (TR_C) is dedicated to showcasing high-quality, scholarly research that delves into the development, applications, and implications of transportation systems and emerging technologies. Our focus lies not solely on individual technologies, but rather on their broader implications for the planning, design, operation, control, maintenance, and rehabilitation of transportation systems, services, and components. In essence, the intellectual core of the journal revolves around the transportation aspect rather than the technology itself. We actively encourage the integration of quantitative methods from diverse fields such as operations research, control systems, complex networks, computer science, and artificial intelligence. Join us in exploring the intersection of transportation systems and emerging technologies to drive innovation and progress in the field.