Future urban mobility: trends and challenges
This panel will address the following questions:
- Is there a need for a change of urban mobility? Why do we need new approaches to city transportation?
- Why would people change their today’s behavior? What are the motivations for users’ behavioral change?
- How “smart” will future mobility be? What is the role of artificial intelligence? What is the role of connectivity?
- How will urban mobility look like 10 years from now?
This panel is technically supported by ELLIIT
Alexey Vinel (Senior Member, IEEE) received the Ph.D. degrees from the Institute for Information Transmission Problems, Moscow, Russia, in 2007, and from the Tampere University of Technology, Tampere, Finland, in 2013. He has been a Professor with the School of Information Technology, Halmstad University, Halmstad, Sweden, since 2015, and a Professor II with the Department of Electrical Engineering, Western Norway University of Applied Sciences, Bergen, Norway, since 2018. His areas of interests include wireless communications, vehicular networking, and cooperative autonomous driving.
Margareta Friman, Professor and Pro-Vice Chancellor at Karlstad University. Margareta is researching travel behavioral change, accessibility, service quality, satisfaction, attitudes, and wellbeing. She publishes in academic journals in psychology, environmental studies, economics, and transportation. In 2014, she was rewarded the Håkan Frisinger Foundation for Transportation Research Award (given by the Volvo Research and Educational Foundations). She has edited “Handbook in Sustainable Travel” (2014), “Quality of Life and Daily Travel” (2018), and “Children´s Travel and Wellbeing (2019)”. Between 2006-2017, she was center director for a VINN Excellence Center with a focus on service and market-oriented public transport research (Samot).
Dr Glenford Mapp received his BSc (First Class Honours) from the University of the West Indies in 1982, a MEng (Distinction in Thesis) from Carleton University in Ottawa, Canada in 1985 and a PhD from the Computer Laboratory, University of Cambridge in 1992. He then worked at AT&T Cambridge Laboratories for ten years before joining Middlesex University in London in 2003, where he is currently an Associate Professor. He is also the Head of the Cooperative Intelligent Transport Systems (C-ITS) Research Group at Middlesex University and has been involved in building a number of Connected Vehicle testbeds in the UK. His primary expertise is in the development of new technologies for mobile, distributed and vehicular systems. He has published over 120 papers in refereed journals and conferences. He is a Member of the IEEE and the IET and won the Amity University Distinguished Researcher Award for Networking in 2019.
Slawomir Nowaczyk is Professor in Machine Learning, working at Center for Applied Intelligent Systems Research, Halmstad University, Sweden. He has received his MSc degree from Poznan University of Technology in 2002 and his PhD degree from Lund University of Technology in 2008. During the last decade his research focused on knowledge representation, data mining and self-organising systems, especially in large and distributed data streams, including unsupervised modelling. He is a board member for Swedish AI Society, and a research leader for School of Information Technology at Halmstad University. Slawomir has led multiple research projects related to applying Artificial Intelligence and Machine Learning in many different domains, such as transport and automotive, energy, smart cities as well as healthcare. In most cases this research was done in collaboration with industry and public administration organisations — inspired by practical challenges and leading to tangible results and deployed solutions.