D2.2 Defining requirements for analysis methods and data for case studies

D2.2 Defining requirements for analysis methods and data for case studies Summary These three case studies are intended to provide examples to show how some of the main analysis needs identified in D2.1 might be addressed. In terms of data analysis, they cover different combinations of data. Case study 1 on electric goods vehicle charging […]

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D3.1 Status report on the review of new data sources and methods

D3.1 Status report on the review of new data sources and methods Summary This deliverable is part of WP3 within the STORM project. The deliverable provides a literature review of the state-of-the-art and the current knowledge gaps for Big Data analytics, methods and algorithms in the freight sector. The deliverable also reviews relevant applications and […]

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STORM Stakeholder Workshop:Future trends and challenges in freight and logistics and impact on policies

STORM Stakeholder Workshop:Future trends and challenges in freight and logistics and impact on policies Concept STORM will provide insights from recent research outputs on challenges and needs of the freight sector and logistics area, utilization of novel data sources and future polices. The main objective of the workshop is to collect feedback from EU level […]

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STORM kicked-off 2022 in a virtual meeting in January

STORM kicked-off 2022 in a virtual meeting in January STORM kicked-off 2022 On 28th of January, 2022 project STORM consortium members kicked-off the second year of the project remotely. It’s been a hard 2021 for all of us working and meeting remotely, but we keep our smiles up and hopes for 2022! In the beginning […]

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STORM will be presented during 2021 IEEE Smart Cities Symposium

STORM will be presented during 2021 IEEE Smart Cities Symposium Conference topics and objectives The Smart Cities Symposium Prague 2020 (the sixth annual conference) aims on exchange of ideas and best practices in the field of Smart cities. It covers whole range of topics, from the system point of view, through data mining and data […]

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