This project has received funding from the European Union's Horizon Europe widening participation and spreading excellence and further supporting actions programmes. Grant agreement ID: 101071330.

Digital Transformation for Inclusive, Sustainable and Resilient Cities

Course event

Sustainable Mobility Innovations
Blended Intensive Programme Course
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Regulation (EU) 2018/1725 applies to the processing of your personal data collected for the organisation and management of the Sustainable Mobility Innovations course. The processing of certain categories of your personal data as described in this privacy statement will be carried out based on your consent (Article 5(d) of Regulation (EU) 2018/1725).

The following personal data will be processed: 1. information necessary for your registration: title, first name, last name, country, e-mail, phone number, name of organisation 2. information necessary for access to the conference venue: ID card / passport number. Your consent is required for: 1. photos, audio and video recordings and web streaming related to the course 2. attendee list containing your name and affiliation, which will be shared among participants 3. receiving the InCITIES Newsletter and press releases.

In the winter semester of academic year 2024/2025, the University of Žilina is organising a Digital Transition HUB Multidisciplinary Training on Digital Transformation for Inclusive, Sustainable and Resilient Cities.

Throughout the semester, 10 students will work on practical projects under the guidance of lecturers from the Faculty of Management and Informatics of the University of Žilina and industry partners.

Within the Winter School, the students will implement three hands-on projects:

  1. Data Analysis and Predictions for Public Transport Using Machine Learning and Artificial Intelligence Methods.
    • Objectives
      • Creating and evaluating predictive models for public transport data supplemented with external data sources using machine learning and artificial intelligence.
      • Developing models based on various scenarios and problems and assessing the suitability and accuracy of these models.
      • Deploying the proposed methots into real-world environments.
    • Supervisor: prof. Ing. Ľuboš Buzna, PhD.
    • Industry Partner: iTranSys s.r.o., INPROP, s.r.o.
  2. Design of a Design of a Sensor Network for Real-Time Traffic Counting in the City of Žilina.
    • Objectives:
      • Identifying the most suitable sensor locations.
      • Developing communication architecture and selecting communication protocols, data rates and frequency of communication.
      • Calculating the estimated energy consumption, annual data usage and the cost of communication.
      • Creating the technical specification of the system and documentation.
    • Supervisor: Ing. Ivana Brídová, PhD.
    • Industry Partners: IS Industry Solutions, a.s., IoMobility Solutions, s.r.o.
  3. Design of an Intelligent Network Architecture for Educational, Research, and Management Processes.
    • Objectives:
      • Analysing the state of the art and defining the functional requirements.
      • Designing the network architecture according to the ISO/IEC/IEEE 420 10:2011 standard.
      • Procuring the necessary IoT components and hardware and implementing the network design.
      • Promoting the use of new technologies in research and education by developing practical demos.
    • Supervisor: Ing. Ivana Brídová, PhD.

Within this blended multidisciplinary training, online courses are combined with face-to-face sessions in which students consult the preliminary results with their tutors. The Winter School will unfold with a two-day onsite workshop at the University of Žilina, which will be held on December 10th and 11th, 2024. At the workshop, students will present the results of their projects, exchange knowledge and participate in co-creation activities with invited representatives from higher education institutions, industry partners, and InCITIES associated partners. Upon completion of the course, students will be awarded 5 ECTS.