The digitalization of the global transportation and logistics sector, commonly referred to as Transportation Internet, is transforming how businesses and stakeholders in the value chains operate, perform, interact and compete. To meet market demands and regulations, transparency and interoperability are needed, especially in terms of cost, quality, planning, and environmental impact. As freight transportation has a major impact on greenhouse gas (GHG) emissions and EU aims to standardizing fuel consumption and emissions calculations at the vehicle level, we developed a cloud-based data hub able to handle a variety of big data streams focused on driving consistent semantics and smooth data flow, sharing and governance, in order to become a valuable tool for the decarbonization challenge. Fuel consumption and emissions are correlated to vehicle and driver activities providing thus accurate insights from global statistics overview to pallet-level detailed tracking and control, as well as for improving and optimizing fleet operations and maintenance. Our approach combines domain-specific experience and tools with widely accepting standards from the transportation sector and the Global Logistics Emissions Council (GLEC) framework as well as with state-of-the-art technologies of telematics platforms, used to enrich the quality and level of confidence of the acquired data, such as digital twins modeling, machine learning, NoSQL databases, elastic cloud services, business intelligence platforms, and more.

Topics
Theoretical computer science, Environmental impacts, Greenhouse gases, Machine learning, Data streams, Environmental economics, Energy consumption
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