Autonomous Vehicular Edge Computing and Networking for
Intelligent Transportation (ASCENT)
Main funder
Funder's project number: 101086159
Funds granted by main funder (€)
- 119 600,00
Funding program
Project timetable
Project start date: 01/03/2023
Project end date: 28/02/2027
Summary
ASCENT aims to form an international, multidisciplinary, and intersectoral consortium with world-leading experts to research and develop a suite of ground-breaking technologies for achieving Autonomous Vehicular Edge Computing and Networking (VECN) towards highly reliable and efficient ITS. This pioneering research encompasses five coherent and innovative components: 1) scalable and intelligent system architecture, 2) privacy-preserving and reliable distributed edge intelligence, 3)deep learning-based predictive analytics, 4) smart resource management, and 5) verification on a real-world testbed made of connected smart vehicles.
The systematic, theoretical, and algorithmic foundations to be
developed in ASCENT will fill important gaps in the deep understanding and feasibility study of VECN and
enable its uptake for real-world ITS. The proposed knowledge sharing activities will help cross-fertilise and
exchange ideas so as to train the staff members with sought-after skills and career-competence, forge new and
lasting research collaborations among the partners. The success of ASCENT will open up a new horizon for
research and development on ITS, lead to innovative industry and commercial applications, and bring tremendous
benefits to our society and economy. The outcomes of this project will contribute to maintain and strengthen the
EU's world-class profile in ITS, AI, edge computing, networking, communication engineering, and related areas.
The systematic, theoretical, and algorithmic foundations to be
developed in ASCENT will fill important gaps in the deep understanding and feasibility study of VECN and
enable its uptake for real-world ITS. The proposed knowledge sharing activities will help cross-fertilise and
exchange ideas so as to train the staff members with sought-after skills and career-competence, forge new and
lasting research collaborations among the partners. The success of ASCENT will open up a new horizon for
research and development on ITS, lead to innovative industry and commercial applications, and bring tremendous
benefits to our society and economy. The outcomes of this project will contribute to maintain and strengthen the
EU's world-class profile in ITS, AI, edge computing, networking, communication engineering, and related areas.
Principal Investigator
Other persons related to this project (JYU)
Primary responsible unit
Follow-up groups
- Decision analytics utilizing causal models and multiobjective optimization (University of Jyväskylä JYU) DEMO; 2017-2021
- Engineering (Faculty of Information Technology IT) OHTE; Formerly Software and Communications Engineering
- Secure Communications Engineering and Signal Processing (Faculty of Information Technology IT) SCSP
Profiling area: Decision analytics utilizing causal models and multiobjective optimization (University of Jyväskylä JYU) DEMO; 2017-2021
