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Keynote Lectures

Towards Sustainability: Self-Aware Cooperative Hybrid Cities
Norbert Streitz, Founder and Scientific Director, Smart Future Initiative, Germany

Open Innovation in Smart City Energy Transition
Rudolf Giffinger, Centre of Urban and Regional Research, Department of Spatial Planning, TU Wien, Austria

Data Stream Mining Applied to Intelligent Transportation Systems
Javier Sánchez-Medina, University of Las Palmas de Gran Canaria, Spain

Cooperative Automated Driving: From Platooning To Maneuvering
Jeroen Ploeg, 2getthere B.V., Utrecht, The Netherlands and Eindhoven University of Technology, Eindhoven, Netherlands

 

Towards Sustainability: Self-Aware Cooperative Hybrid Cities

Norbert Streitz
Founder and Scientific Director, Smart Future Initiative
Germany
 

Brief Bio

Dr. Dr. Norbert Streitz (Ph.D. in physics, Ph.D. in cognitive science) is a Senior Scientist and Strategic Advisor with more than 35 years of experience in information and communication technology. Founder and Scientific Director of the Smart Future Initiative launched in 2009. From 1987-2008, he held positions as Deputy Director and Division Manager at the Fraunhofer Institute IPSI, Darmstadt, e.g., founding and managing the research division "AMBIENTE - Smart Environments of the Future". Teaching appointments at the Department of Computer Science, Technical University Darmstadt for more than 15 years. Before Fraunhofer, he was Assistant Professor at the Technical University Aachen (RWTH), where he founded and managed ACCEPT (AaChen Cognitive Ergonomics ProjecT). At different times of his career, he was a post-doc research fellow at the University of California, Berkeley, a visiting scholar at Xerox PARC, Palo Alto, and at the Intelligent Systems Lab of MITI, Tsukuba Science City, Japan.

Norbert has published/edited 28 books and authored/coauthored more than 150 scientific peer-reviewed papers. His research and teaching activities are determined by a strong interdisciplinary approach and cover a wide range of areas: Cognitive Science, Human-Computer Interaction, Hypertext/ Hypermedia, Computer-Supported Cooperative Work (CSCW), Ubiquitous Computing, Ambient Intelligence, Artificial Intelligence, Interaction and Experience Design, Privacy by Design, Hybrid Worlds, Smart Manufacturing/ Industry 4.0, Autonomous Driving, Smart Cities and Smart Airports.

Norbert was principal investigator and manager of many projects funded by the European Commission (EC) (e.g., Disappearing Computer Initiative, Ambient Agoras, Towards the Humane City, …) and by industrial as well as national and international funding agencies. Reviewer and evaluation expert for the EC, member of Editorial Boards (e.g., Journal of Ambient Intelligence and Smart Environments, Journal of Ambient Intelligence and Humanized Computing) and Advisory Boards of research institutes in Europe and Asia, senior advisor and consultant. Norbert is regularly invited as a keynote speaker at international commercial as well as scientific events (http://www.smart-future.net/events-and-talks).

Norbert organized many conferences as general or program chair and served on the corresponding committees during his long career, too many to list here. In 2013, he initiated the series of International Conferences on Distributed, Ambient and Pervasive Interactions (DAPI), which is still chaired by him and now in its seventh edition as DAPI 2019 (http://2019.hci.international/dapi).


Abstract

Since there is no clear definition of the term “Smart City”, we are confronted with a wide range of connotations and their manifestations as digital city, virtual city, ubiquitous city, interactive city, adaptive city, responsive city, etc. Among the many interpretations, green city and sustainable city play an increasingly popular role. The goal of this keynote is therefore to shed some light on the various opportunities as well as challenges we face when designing and implementing “smart” cities. Our citizen-centered approach connects sustainability to the goal that cities should be self-aware and cooperative as described below.

Smart cities pose new challenges for all stake holders: urban planners, city administration, public and industrial infrastructure and service providers, community organizations, businesses and last, but not least the citizens. There is a need to reflect the current hype about smart cities and technology-driven urban developments. A citizen-centered design approach is necessary for developing citizen-oriented solutions, reconciling people and technology, so that they can gain acceptance by all stake holders involved. We characterize this as moving beyond “smart-only” cities.

The goal of a city should be more than providing infrastructures. The city should be defined and view itself as a cooperation partner supporting its inhabitants. Being cooperative requires also to be self-aware about its status and processes and sharing this knowledge with the citizens. The overall goal is to design a humane, sociable and cooperative city which knows about itself (self-awareness) and to decide which technologies and specific design objectives are appropriate to meet the needs of the citizens. In this context, we propose a Citizen-Cooperative-City-Contract (C4) as an approach to address the different design trade-offs.

Due to the central role of “smart” technologies, we must also reflect on the underlying rationale, its implications and challenges. What does “smart” mean? Intelligent? Artificial Intelligence? Automated? Autonomous – with no humans involved? How much should our life depend on smart technologies? How about: keeping the human in the loop and in control?  How about: Smart spaces make people smarter and not more dependent? These open issues require to rethink and redefine the “Smart-Everything” paradigm, we are confronted with in many realms of our environment, indoors in the smart home, outdoors in the smart city, in an industrial context in the smart factory, and in general in our society.

Selected Reference:
Norbert Streitz (2018). Beyond 'Smart-Only' Cities: Redefining the 'Smart-Everything' Paradigm.
Journal of Ambient Intelligence and Humanized Computing. pp. 1 - 22.
Available as First-online: https://link.springer.com/article/10.1007/s12652-018-0824-1



 

 

Open Innovation in Smart City Energy Transition

Rudolf Giffinger
Centre of Urban and Regional Research, Department of Spatial Planning, TU Wien
Austria
 

Brief Bio
Professor Dr. Rudolf Giffinger is an expert in analytical research of urban and regional development. His research mainly concentrates on intra-urban development, urban decay, segregation/integration as well as on urban/metropolitan competitiveness, positioning of cities. Since some years, he is analyzing Smart City development and respective strategic issues. He published and edited books, journals and articles on that subjects. He participated in or headed interdisciplinary projects on Smart City issues and energetic transition processes in Austria or Europe. He chairs working groups and is member of networks primarily related to urban and regional development in Central and Southeast Europe. Rudolf Giffinger is professor in Regional Science and head of the Centre of Regional Science, which is part of the Institute of Spatial Planning at TU Wien.


Abstract
In general, the Smart City idea is focusing on the implementation of new technologies (mostly ICT) on the background of specific urban challenges: Climate change and urban competitiveness are used as specific argumentation lines for the introduction of ICT into the city for mitigating emissions and for increasing infrastructure efficiency. Along with the digitization of cities, recently the idea and use of collective intelligence, derived from complex data analysis, came up; and new forms of ‘intelligence’ and value creation are increasingly in academic discussion. Along with this trend, Smart City activities are becoming more specialized in terms of different key fields of urban development and more important regarding local innovative processes.

In this contribution, I want to look at the possibilities how to generate an integrated collective knowledge regarding the energetic transformation of urban neighbourhoods. Beyond the general discussion of understanding, I will describe how Smart City technology in form of a dashboard can help in a place based approach supporting an effective energetic transformation process. Beside its features, the possibilities and obstacles to use such a dashboard in an ‘open innovation’ process for scenario building are discussed. This dashboard was developed in the Austrian project ‘E‐Profil: Quartiers‐profile für optimierte energietechnische Transformationsprozesse’ subsidized by the Austrian Research Funding Association FFG. Finally, some conclusions regarding the meaning of ‘open innovations’ in the Smart City development will be derived.



 

 

Data Stream Mining Applied to Intelligent Transportation Systems

Javier Sánchez-Medina
University of Las Palmas de Gran Canaria
Spain
 

Brief Bio

Dr. Sanchez-Medina earned his Engineering Master Degree at the Telecommunications Faculty on 2002, and his PhD at the Computer Science Department on 2008. His PhD dissertation versed on the use of Genetic Algorithms, Parallel Computing and Cellular Automata based Traffic Microsimulation to optimize the Traffic Lights Programming within an Urban Traffic Network.

His research interests include mainly the application of Evolutionary Computation, Data mining and Parallel Computing to Intelligent Transportation Systems. He has a wide experience on the development of traffic models and simulation platforms.

Javier Sanchez-Medina has been volunteering for several years at many international conferences related to Intelligent Transportation, Computer Science, Evolutionary Computation, etc. He is reviewer for some Transportation related journals.

He is also very active as a volunteer of the IEEE ITS Society. Since 2010, we has served for the IEEE ITS Society organizing the TBMO 2010 Workshop at ITSC2010, co-organizing the “Travel Behavior Research: Bounded Rationality and Behavioral Response” Special Session at ITSC2011, being Publications Chair at the IEEE FISTS2011, Registration Chair at the IEEE ITSC2012, Workshops and Tutorials Chair for IEEE ITSC 2013, Panels Chair at IEEE VTC2013-Fall, Program co-Chair at IEEE ITSC2014, program co-Chair at IEEE ITSC2016, publicity chair at IEEE IV2016, program chair at IEEE ICVES 2017, program chair at IEEE ITSC2018 and General Chair at IEEE ITSC2015. Currently he also is EiC of the ITS Podcast, the ITS Newsletter and Vice-president of the IEEE ITSS’s Spanish chapter.

He has widely published his research with more than 25 international conference articles and more than 15 international journal articles.

https://www.researchgate.net/profile/Javier_Sanchez-Medina

http://orcid.org/0000-0003-2530-3182


Abstract

These days we are living an all-out revolution in Intelligent Transportation Systems (ITS) and Smart Mobility these days. It is not just how we are going to move from A to B. Instead, it is more how we are going to develop our lives both professionally and personally. The ongoing dramatic technological, economic and cultural change has a central driving force, a backbone that articulates it all, and that is Data. Data flow will shape our future and the future of our cities. That is especially true of ITS and Smart Mobility, a central part of Smart Cities.

However, this is not an easy step forward to humanity. This revolution, as any other in history, will take suffering. The overabundance of data poses a real challenge. The Internet of Things, the sensor networks and the data coming from apps running on our personal computing devices together are generating what could be described as a tsunami of data. We can either fight against this wave or take advantage of it!

When it comes to the so called Big Data, there are mainly two major challenges to face. Storage and efficient analytics. One recent approach to those two facets is that of Data Stream Mining. Put simply, it consists of not storing any more data, but creating the knowledge, updating the models, detecting anomalies, etc. as we go. It is easier said than done. This implies a denial of most of the classic methodologies on Machine Learning and Artificial Intelligence. It is a brand new way of understanding Machine Learning. A quantum leap in research development will be necessary. It must include a theoretical and practical change of perspective.

ITS is an engineering field where we can find plenty of Data based systems that need to operate in real time, through incremental learning and change adaptation. In most of them we have serious restrictions regarding the available computational performance and storage capacity, for instance at embarked systems. That is why ITS is the ideal test field to unfold the current Data Stream Mining methodologies and to push forward new knowledge too. This will be discussed in this keynote.



 

 

Cooperative Automated Driving: From Platooning To Maneuvering

Jeroen Ploeg
2getthere B.V., Utrecht, The Netherlands and Eindhoven University of Technology, Eindhoven
Netherlands
 

Brief Bio

Jeroen Ploeg received the M.Sc. degree in mechanical engineering from Delft University of Technology, Delft, The Netherlands, in 1988 and the Ph.D. degree in mechanical engineering on the control of vehicle platoons from Eindhoven University of Technology, Eindhoven, The Netherlands, in 2014.

He is currently with 2getthere, Utrecht, The Netherlands, were he leads the research and development activities in the field of cooperative automated driving for automated transit systems, in particular platooning. Since 2017, he also holds the position of part-time Associate Professor with the Mechanical Engineering Department, Eindhoven University of Technology, Eindhoven, The Netherlands. From 1989 to 1999, he was with Tata Steel, IJmuiden, The Netherlands, where his interest was in the development and implementation of dynamic process control systems for large-scale industrial plants. He was with TNO, Helmond, The Netherlands, from 1999 until 2017, ultimately as a Principal Scientist in the field of vehicle automation and road safety assessment.

His research interests include control system design for cooperative and automated vehicles, in particular string stability of vehicle platoons, the design of interaction protocols for complex driving scenarios, and motion control of wheeled mobile robots.


Abstract

Autonomous vehicles do not intrinsically improve traffic since they optimize towards reaching their own goals. Cooperative driving, on the other hand, aims for optimizing the collective behavior, thus having the potential to improve the traffic system. Connectivity is instrumental for cooperative driving because traffic participants can express and share their intention more easily and precisely. When combined with vehicle automation, a powerful approach arises for improving traffic efficiency and safety.

A well-known application of cooperative automated driving (CAD) is cooperative adaptive cruise control (CACC) or platooning, which improves traffic throughput by adopting very short intervehicle distances. This is particularly of interest in automated transit systems (people movers) which, when used for first-/last-mile transportation, must have a high transport capacity. Also truck platooning is a promising application because fuel consumption decreases due to reduced aerodynamic drag at short distances. To fully exploit these potential benefits, a platoon needs to be string stable, which refers to attenuation of the effects of disturbances in upstream direction along the platoon. String stability contributes to safety, but it is only a necessary condition, not a sufficient one. To also guarantee safety in the presence of failing communication or common threats such as cutting in of other vehicles, additional measures are required which are only addressed in literature to a limited extent.

 

Next to ongoing developments in the field of platooning, cooperative automated maneuvering attracts attention to an increasing extent, acknowledging the fact that traffic is not a one-dimensional string of vehicles. Many approaches are still investigated in this field. One such approach relies on explicit decision making, employing so-called interaction protocols; This approach was illustrated by i-GAME, a European-funded project, whereas other projects, such as Autonet2030, adopt an optimization-based approach for path planning.

In summary, CACC and platooning are promising first applications of CAD, but further research and development in the field of safety is required, especially when considering the current world-wide standardization and road approval activities. At the same time, the application domain is extended towards cooperative automated maneuvering, ultimately leading to a truly ‘automated intelligent transportation system’.



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