Designing a dynamic platform for the next generation of multi-modal logistics

Abstract

The FOR-FREIGHT (Flexible, multi-mOdal and Robust FREIGHt Transport) project represents a pioneering initiative aimed at revolutionizing multimodal logistics by optimizing transport capacity and enhancing sustainability and efficiency. This paper delves into the project's overarching objectives, methodologies, and anticipated impacts. With a primary focus on developing innovative solutions seamlessly integrated into existing logistics systems, FOR-FREIGHT strives to diminish the average cost of freight transport. The project's unique approach encompasses a comprehensive, end-to-end optimization of multimodal logistics services, addressing challenges prevalent in airports, ports, inland terminals, and logistics nodes. Central to FOR-FREIGHT's success is the creation of a cloud-based platform, combining IoT, AI/ML, and Big Data Management, designed to streamline logistics processes and facilitate decision-making. The paper also emphasizes the integration of legacy systems, ensuring the project's applicability to real-world scenarios. Furthermore, FOR-FREIGHT envisions an open marketplace and standardized interfaces, fostering collaboration and interoperability across diverse stakeholders. As the project advances, it promises to not only redefine multimodal logistics practices but also contribute to the establishment of sustainable and efficient standards within the industry.