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RESIST 2018 - Resilient Smart city Transportation (ins) S

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Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

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Special Session on Resilient Smart city Transportation - RESIST 2018


16 - 18 March, 2018 - Funchal, Madeira, Portugal
Within the 4th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS 2018


SCOPE


Cities around the world are experiencing great challenges in terms of resiliency and adaptability in the face of fast-growing populations, high dependency on critical infrastructure, and extreme events. The more complex the transportation system, the greater the potential for disruptions. In this special session we address the resiliency and energy efficiency aspects in urban transport systems from the perspective of ICT-based research, considering approaches such as advanced data analysis, novel models of traffic behavior, real-time decision support systems, infrastructure for sustainable transportation (e.g., electric vehicles, bicycles, etc.), networking protocols and secure communications in vehicular networks, among others. The session promotes discussion of the integration of computing, communications, and control methods to enable resilient energy-efficient urban transportation systems in Smart Cities.


Topics:

- Advanced data analysis of transportation networks
- Novel models of traffic behavior in urban scenarios
- Design of real-time decision support systems for resilient transportation
- Design and adaptation of energy efficient sustainable transport infrastructure for electric vehicles
- Use of renewable energy sources in urban transportation - Modeling of information security problems and impact in resiliency of urban transportation
- Cross-layer design for data dissemination in resilient heterogeneous wireless vehicular networks
- Design of physical layer schemes with non-traditional technologies for resilient vehicular communication
- Software-defined resilient networking architectures for ad-hoc and VANETs
- Mechanisms for mitigating impact of security threats algorithms for vehicular coordination



IMPORTANT DATES

Paper Submission: January 11, 2018
Authors Notification: January 25, 2018
Camera Ready and Registration: February 2, 2018



CO-CHAIRS




Aleksejs Zacepins
Latvia University of Agriculture
Latvia
Brief Bio
Dr. Aleksejs Zacepins is working at the Latvia University of Agriculture, Faculty of Information Technologies as a docent and as a lead researcher, as well he is a director of computer control and computer science study program. He gained experience managing various international scientific projects. Custom hardware and software solutions have been developed for real-time monitoring and data collection of various dynamic objects. In the past years he participated in projects related to the Precision Beekeeping, Precision Agriculture and renewable energy. Currently he is working on several projects related to Smart cities and Precision agriculture topics. Related Experiences: Dr. Aleksejs Zacepins has previously served as session chair of one local conference in Latvia and in the International Carpathian Control Conference.




Vitalijs Komasilovs
Latvia University of Agriculture
Latvia
Brief Bio
Dr. Vitalijs Komasilovs has solid experience in various scientific projects. Custom hardware and software solutions have been integrated into end-to-end on-line systems for monitoring and data collection from various dynamic objects, as well as further analysis of data and building of models for decision support systems. In the past he had about 10 year experience in system development for financial sector, which gave strong analytical and user-centric thinking. Currently he is working on several projects related to Smart cities and Precision agriculture topics.



SCOPE

The purpose of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems (VEHITS) is to bring together engineers, researchers and practitioners interested in the advances and applications in the field of Vehicle Technology and Intelligent Transport Systems.
This conference focuses on innovative applications, tools and platforms in all technology areas such as signal processing, wireless communications, informatics and electronics, related to different kinds of vehicles, including cars, off-road vehicles, trains, ships, underwater vehicles, or flying machines, and the intelligent transportation systems that connect and manage large numbers of vehicles, not only in the context of smart cities but in many other application domains.

Papers describing advanced prototypes, systems, tools and techniques and general survey papers indicating future directions are also encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the Proceedings of VEHITS. Acceptance will be based on quality, relevance and originality. Both full research reports and work-in-progress reports are welcome. There will be both oral and poster sessions.

Special sessions, dedicated to case-studies and commercial presentations, as well as tutorials dedicated to technical/scientific topics are also envisaged: companies interested in presenting their products/methodologies or researchers interested in holding a tutorial, workshop or special session are invited to contact the conference secretariat or visit the VEHITS conference website.



CONFERENCE AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

1. INTELLIGENT VEHICLE TECHNOLOGIES
2. INTELLIGENT TRANSPORT SYSTEMS AND INFRASTRUCTURE
3. CONNECTED VEHICLES
4. SUSTAINABLE TRANSPORT
5. DATA ANALTYICS




AREA 1: INTELLIGENT VEHICLE TECHNOLOGIES


  • Driver Behavior Analysis
  • Off the Road Vehicles
  • Traffic and Vehicle Data Collection and Processing
  • Navigation Systems
  • Autonomous Vehicles and Automated Driving
  • Vision and Image Processing
  • Vehicle Environment Perception
  • Pattern Recognition for Vehicles
  • Cognitive and Context-aware Intelligence
  • Automotive Control and Mechatronics



AREA 2: INTELLIGENT TRANSPORT SYSTEMS AND INFRASTRUCTURE


  • Big Data Analytics for Intelligent Transportation
  • Public Transportation Management
  • Parking Management and Electronic Parking
  • Intelligent Infrastructure and Guidance Systems
  • Traffic Theory, Modeling, and Simulation
  • Air, Road, and Rail Traffic Management
  • Ports and Vessel Traffic Management
  • Road Safety and Transport Security
  • Real-time Incident Detection
  • Information Systems and Technologies
  • Wireless Sensor Networks
  • Automatic Tolls
  • Geographic Information Systems
  • Urban Mobility and Multimodal Transportation
  • Congestion Management and Avoidance



AREA 3: CONNECTED VEHICLES


  • Cooperative Driving and Traffic Management
  • Connected Services
  • Remote Diagnosis
  • Vehicle Telematics
  • Vehicular Cloud Computing
  • Mobility and the Internet of Vehicles
  • Big Data and Vehicle Analytics
  • V2V, V2I, V2X
  • Vehicular Networks
  • Security and Safety
  • Cognitive Radio
  • Communication Protocols



AREA 4: SUSTAINABLE TRANSPORT


  • City Mobility and Ecodriving
  • Alternative Fuels
  • Transport for People with Disabilities
  • Electric Vehicles
  • Fuel Cell Vehicles
  • Hybrid EVs
  • Smart Grid and V2G
  • Systems Modeling and Simulation
  • Engine-Efficiency and Emissions Control
  • Power Management



AREA 5: DATA ANALTYICS


  • Big Data & Vehicle Analytics
  • Traffic management Reporting Systems
  • Decision Support Systems
  • Visualisation Approaches
  • Fleet telematics
  • Analytics for Intelligent Transportation
  • Reporting Tools
  • Analtyics and optimization
  • User and usage-level Feedback
  • Vehicle Information Systems
  • Interaction Design for Analytics



KEYNOTE SPEAKERS

Miguel A. Sotelo, Universidad de Alcalá, Spain
Karl-Heinz Krempels, RWTH Aachen University, Germany
Uwe Plank-Wiedenbeck, Bauhaus-Universität Weimar, Germany




Enhanced Protection of Vulnerable Road Users – A combined discriminative and generative approach for accurate detection and prediction of pedestrian intentions


Miguel A. Sotelo
Universidad de Alcalá
Spain

Brief Bio

Miguel Ángel Sotelo received the degree in Electrical Engineering in 1996 from the Technical University of Madrid, the Ph.D. degree in Electrical Engineering in 2001 from the University of Alcalá (Alcalá de Henares, Madrid), Spain, and the Master in Business Administration (MBA) from the European Business School in 2008. From 1993 to 1994, he held an Excellence Research Grant at the University of Alcalá, where he is currently a Full Professor at the Department of Computer Engineering and Vice-president for International Relations. In 1997, he was a Research Visitor at the RSISE of the Australian National University in Canberra. His research interests include Self-driving cars, Cooperative Systems, and Traffic Technologies. He is author of more than 200 publications in journals, conferences, and book chapters. He has been recipient of the Best Research Award in the domain of Automotive and Vehicle Applications in Spain in 2002 and 2009, and the 3M Foundation Awards in the category of eSafety in 2004 and 2009. He served as Auditor and Expert at FITSA Foundation for RTD Projects in the domain of automotive applications in 2004-2010. Miguel Ángel Sotelo has served as Project Evaluator, Rapporteur, and Reviewer for the European Commission in the field of ICT for Intelligent Vehicles and Cooperative Systems in FP6 and FP7. He was Director General of Guadalab Science & Technology Park (2011-2012) and co-founder and CEO of Vision Safety Technologies (2009-2015), a spin-off company established in 2009 to commercialize computer vision systems for road infrastructure inspection. He is member of the IEEE ITSS Board of Governors and Executive Committee. Miguel Ángel Sotelo served as Editor-in-Chief of the Intelligent Transportation Systems Society Newsletter (2013), Editor-in-Chief of the IEEE Intelligent Transportation Systems Magazine (2014-2016), Associate Editor of IEEE Transactions on Intelligent Transportation Systems (2008-2014), member of the Steering Committee of the IEEE Transactions on Intelligent Vehicles (since 2015), and a member of the Editorial Board of The Open Transportation Journal (2006-2015). He has served as General Chair of the 2012 IEEE Intelligent Vehicles Symposium (IV’2012) that was held in Alcalá de Henares (Spain) in June 2012. He was recipient of the 2010 Outstanding Editorial Service Award for the IEEE Transactions on Intelligent Transportation Systems, the IEEE ITSS Outstanding Application Award in 2013, and the Prize to the Best Team with Full Automation in GCDC 2016. At present, he is President of the IEEE Intelligent Transportation Systems Society.


Abstract
Driver Assistance Systems have achieved a high level of maturity in the latest years. As an example of that, sophisticated pedestrian protection systems are already available in a number of commercial vehicles from several OEMs. However, accurate pedestrian path prediction is needed in order to go a step further in terms of safety and reliability, since it can make the difference between effective and non-effective intervention. Getting to understand the underlying intent of an observed pedestrian is of paramount interest in a large variety of domains that involve some sort of collaborative and competitive scenarios, such as robotics, surveillance, human-machine interaction, and intelligent vehicles. In contrast to trajectory-based approaches, the consideration of the whole pedestrian body language has the potential to provide early indicators of the pedestrian intentions, much more powerful than those provided by the physical parameters of a trajectory. In this talk, we consider a hybrid approach in which Deep Learning techniques are used to robustly detect pedestrians’ body parts and pose together with a generative approach, based on GPDM (Gaussian Process with Dynamical Model), for accurate trajectory prediction in a time horizon of up to 1.0 s. The proposed system constitutes a further step in the state-of-the-art in the quest for advanced VRU protection systems.


Mobility Service Integration, Mobility Platforms, and Intelligent Planning Agents

Karl-Heinz Krempels
RWTH Aachen University
Germany

Brief Bio

Karl-Heinz Krempels studied computer science at RWTH Aachen University. He received a doctoral degree (2009) in Computer Science from RWTH Aachen University for works on Agent-based Scheduling and Timetabling. He worked as research associate in several national and international projects on knowledge-based planning, agent technology, timetabling, health care, human-computer interaction. He joined to the Database and Information Systems Group at RWTH Aachen University as Postdoc in summer 2010 and is continuing his research on timetabling, intelligent distribued systems, mobility information systems, and mobile navigation systems. Since 2015 he is also the head of the Intelligent Mobility Group at Fraunhofer Institute for Applied Information Systems FIT, Sankt Augustin, Germany.


Abstract
Mobility services provide travel information, registration, booking, ticketing, accounting, and travel assistance for customers. The integration of mobility services based on business logic integration leads to new mobility platforms that have to provide the same service range for new bundled products that contain multimodal trip legs. Furthermore, the customer loyalties will move from singular service provide to the mobility platform provider. The mobility platform becomes a grid master in the intermediate economic scenarios. I will give an overview of the evolution of travel information systems from an information system for a singular mobility service to an information system for an integrated mobility platform. Furthermore, I will discuss how the customer loyalty will move from the singular service to the mobility platform and then to agent platforms for calendar agents, agenda planning agents, chat bots, etc.




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Vila Galé Santa Cruz

Rua São Fernando, 5

9100-173 Santa Cruz

Portugal

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