TY - GEN
T1 - KEYSTONE: Transforming the European Transport Ecosystem through Data-Driven Strategies, Operations, and Interoperability
AU - Garcia-Perez, Alexeis
AU - Petrakou, Zoi
AU - Renzi, Giulia
AU - Cantillano, Paulo
AU - Jones, Andrew
AU - Broughton, Kevin
AU - Papacharalampous, Alexandros
AU - Georgakopoulous, Alexandros
AU - Koutsis, Charilaos
PY - 2025/3/10
Y1 - 2025/3/10
N2 - Data-driven operations are critical for an efficient and compliant European transport ecosystem. Real-time analysis and visualisation of data about vehicles, drivers and goods being transported across Europe enable optimisation and com-pliance. However, progress is limited by legacy systems, fragmented data, capabil-ity gaps and barriers to data sharing. The project Knowledgeable comprehensive and fully integrated smart solution for resilient, sustainable, and optimised transport operations (KEYSTONE ) aims to contribute to a roadmap for the digital transformation of the European transport ecosystem by creating standardised, truly Plug and Play solutions that will bridge the gaps and pave the way towards this goal, regardless of the existing legacy systems. The project is a major step forward in current efforts to build data-driven operations capabilities by integrating exist-ing data-driven platforms, services, and skill development solutions across a range of European stakeholders. In addition to its technology and management compo-nents, the project will provide policy recommendations to address shortages in da-ta literacy and digital leadership, fostering collaboration between regulators, opera-tors, and service providers to capitalise on data for the purpose of compliance. This paper provides an overview of the initial findings in the efforts by the KEYSTONE consortium to unify transport data for compliant operations across Europe, with particular emphasis on the current state of the art, interoperability challenges and requirements as perceived by key European stakeholders.
AB - Data-driven operations are critical for an efficient and compliant European transport ecosystem. Real-time analysis and visualisation of data about vehicles, drivers and goods being transported across Europe enable optimisation and com-pliance. However, progress is limited by legacy systems, fragmented data, capabil-ity gaps and barriers to data sharing. The project Knowledgeable comprehensive and fully integrated smart solution for resilient, sustainable, and optimised transport operations (KEYSTONE ) aims to contribute to a roadmap for the digital transformation of the European transport ecosystem by creating standardised, truly Plug and Play solutions that will bridge the gaps and pave the way towards this goal, regardless of the existing legacy systems. The project is a major step forward in current efforts to build data-driven operations capabilities by integrating exist-ing data-driven platforms, services, and skill development solutions across a range of European stakeholders. In addition to its technology and management compo-nents, the project will provide policy recommendations to address shortages in da-ta literacy and digital leadership, fostering collaboration between regulators, opera-tors, and service providers to capitalise on data for the purpose of compliance. This paper provides an overview of the initial findings in the efforts by the KEYSTONE consortium to unify transport data for compliant operations across Europe, with particular emphasis on the current state of the art, interoperability challenges and requirements as perceived by key European stakeholders.
KW - LOGISTICS
KW - SUPPLY CHAIN
KW - DATA-DRIVEN OPERATIONS
KW - EUROPEAN TRANSPORT SYSTEM
KW - REAL-TIME ANALYSIS
KW - DATA
KW - DATA SHARING
KW - PLUG AND PLAY
KW - Compliance
U2 - 10.1007/978-3-031-82818-8_31
DO - 10.1007/978-3-031-82818-8_31
M3 - Conference proceeding
SN - 978-3-031-82817-1
T3 - Lecture Notes in Intelligent Transportation and Infrastructure
SP - 417
EP - 431
BT - Climate Crisis and Resilient Transportation Systems (CSUM 2024)
A2 - Nathanail, Eftihia G.
A2 - Gavanas, Nikolaos
A2 - Adamos, Evangelos
PB - Springer Nature
ER -