Over its lifespan the STORM project has delivered the following results:
1. Identified future trends, knowledge and policy analysis needs and potential roles and possibilities for new modelling for freight transport in the EU through literature review, stakeholder interviews and interactions, as well as a prepared survey. Stakeholder consultation helped also to collect various views from business and operational perspective. Important areas where information and insights are lacking were outlined.
2. Reviewed the state-of-the-art and the current knowledge gaps for Big Data analytics, methods, and algorithms in the freight sector, as well as relevant applications, challenges, and opportunities of big data exploitation. It was found out that variety of challenges are hindering the access and utilization of Big Data for freight transport applications.
3. The identified knowledge gaps and needs, as well as data sources were utilized to develop new frameworks and models, that were further utilized to empower three use case scenarios showcasing the impact of future freight and logistics innovations.
4. Summarized recommendations, experiences and views of the consortium members based on the achieved technical results in two summaries focused in providing a synthesized guidance for various stakeholders including research, business, innovation, and policies.
5. Project results and developments were summarized and disseminated through the provided project Toolbox: https://project-storm.eu/results/toolbox/ , as well as in dedicated newsletters and social media communications.
6. All major project outcomes were reported and communicated in various events, congresses, and conferences as: TRA2022, ITS Europe, 2022/23, IEEE Smart Cities Symposium, 2022/23, and ACCENT 2022. Stakeholder consultation events were organized and provided valuable feedback on the project developments, which were further disseminated through research publications.
7. The achieved results will be further exploited in forthcoming EU funding calls and national initiatives, as well as in commercial R&D offering development and preparation of teaching of teaching material for university programs related to logistics innovations.