W3: 1st International Workshop on Next Generation Road Weather and Air Pollution Services (NG-ROWS)
Virtual Program Link: https://event.on24.com/wcc/r/2336369/ED808E966E5080C51442C52D416B0CC2
Organizer: Joaquim Ferreira, University of Aveiro and Telecommunications Institute, Portugal,
Nadjib Aitsaadi, Université de Versailles Saint-Quentin-en-Yvelines, France
Final Program Below.
Abstract: Adverse road weather conditions and air pollution are challenging for human drivers, urban population and for automated vehicles. To reach the safety, comfort and efficiency benefits of Cooperative, Connected and Automated Mobility, vehicles need to sense road conditions and see beyond the fog and/or rain wall. In addition, existing solutions for road weather services are limited in their scope and are mostly limited by: i) scalability, ii) their offline nature, and iii) high latencies. Therefore, there is the need of integrated solutions that can take the most benefits from a real-time analysis of the data gathered from weather and pollution sensing technologies and provide an on-time appropriate reaction to the end user and/or to the automated vehicles. This objective requires a higher level of intelligence to be integrated into the sensing and communication infrastructures, with decentralized aggregation and decision for robust and timely decisions to be taken.
The recent development of C-ITS standards based on a common ITS station communication architecture is an opportunity for a new generation of solutions, taking advantage of the integration of roadside units and road weather/pollution stations, vehicle’ data, road weather sensors and ultimately the mobile device data from each handheld device from the road’ users. Dedicated sensors embedded in vehicles can also report pollution level to build high-resolution dynamic maps accounting both weather and pollution, besides all other data already available in such maps.
Bio: Joaquim Ferreira holds a Ph.D in Informatics Engineering from the University of Aveiro (2005). Currently he is adjunct professor at the University of Aveiro and researcher at Telecommunications Institute. Formerly he was assistant professor of the University of Lisbon Faculty of Sciences, adjunct professor at the Polytechnic Institute of Castelo Branco and researcher at INESC and IEETA. His research interests include: dependable distributed systems, fault-tolerant real-time communications, wireless vehicular communications, cooperative ITS systems and medium access control protocols. He was principal investigator, local coordinator or participant in over 15 funded national and international research projects. He is a senior member of IEEE, has participated in more than 30 conference scientific committees and has served as guest editor in several journals.
He currently coordinates the Celtic Next project SARWS and the P2020 project PASMO. He is also coordinating the participation of IT in several projects, namely: P2020 TRUST, P2020 DETAINER and H2020 5G-MOBIX.
Bio: Nadjib Aitsaadi is full professor at UVSQ Paris-Saclay University in France. He holds the Habilitation (HDR) in 2016 from Paris East University / France and PhD in 2010 from UPMC Sorbonne University / France. His main research field is the optimization of quality of service and security in wireless and wired networks such as: cellular network (5G, V2X, Femtocells, IoT, etc. ) and wired networks (backbone, DCN, NFV, SDN, etc.). He is involved in many national and European projects such as: Celtic Next SARWS, Celtic Plus TILAS, FP7 Goldfish, ANR HORIZON, etc. Prof. Nadjib Aitsaadi is involved in IEEEE ComSoc TCIIN technical committee and is playing the secretary position since January 2018 and as vice-chair in 01/2020 for two years. He served as general chair of “IEEE Cloudification of IoT 2018” and TPC chair of NGNI symposium at IEEE ICC’20, IEEE Cloudification of IoT 2017, SAC Cloud networks at IEEEE Globecom’16, etc. Prof. Aitsaadi served also as demonstration co-chair at IEEE/IFIP IM’17 and IEEE ICIN 2018. He served also as Tutorial co-chair at IEEE WCNC 2019 and as co-guest editor of SI “Cloudification IoT” in Springer Annals of telecommunications journal.
Keynote 1: Security In Connected Vehicle Deployments
William Whyte, Senior Director, Technical Standards at Qualcomm Technology Inc, USA
William Whyte is Senior Director, Technical Standards at Qualcomm Technology Inc., following the acquisition by Qualcomm of OnBoard Security where he was CTO. William is one of the world’s leading experts in the design and deployment of security for connected vehicle and general mobile ad hoc networking systems. He is the editor of IEEE 1609.2, the baseline standard used worldwide for connected vehicle communications security, and of its related and successor standards. He was a key contributor to the design of the Security Credential Management System for Connected Vehicle in the US and lead security consultant on the New York City Connected Vehicle Pilot Deployment. His technical background is in cryptography and, before that, in theoretical physics, in which he has a B.A. from Trinity College Dublin and a D. Phil from Oxford University, England.
Communications security is a key mechanism to be integrated into any deployment of a Connected Vehicle application. This keynote, presented by a 15 year veteran of Connected Vehicle communications security, reviews different architectures for applications and how they affect the security mechanisms that should be used, and provides an in-depth review of the IEEE 1609.2 security system, which is used as the basis for security in deployments in North America, Europe, China, and Australia. The presentation also discusses the extension of 1609.2 to the ISO 21177 system that allows for secure communications sessions between devices. The audience will come away with a deeper understanding of how to think about designing and deploying communications security, and pointers on concrete design and deployment decisions that will make deploying a secure application easier.
Keynote 2: Vehicular Data for Real-Time Road Weather Services
Peter Hellinckx, University of Antwerp – imec, Belgium
Peter Hellinckx is a professor at IDLab, an imec research team at the University of Antwerp.
He obtained his Master in Computer Science and his Ph.D. in Science both from the University of Antwerp in 2002 and 2008 respectively. Peter is the head of the department of Electronics-ICT and initiated the postgraduate in Internet of Things. He currently supervises 13 PhD’s, 4 post-docs and a development team in the field of distributed artificial intelligence. He is currently teaching third year bachelor courses advanced programming techniques, Artificial Intelligence and distributed systems and the master courses IoT Distributed Embedded Software and Computer Graphics. Peter is co-founder of the spin-offs Hysopt, Hi10 and Digitrans. His research focuses on Distributed Artificial Intelligence for IoT and Cyber Physical Systems with as main application domains: autonomous driving/shipping, logistics, mobility, Industry 4.0 and smart cities. In this field, he is a reviewer in many scientific project evaluation commissions, both on a national and an international level. He is a guest editor of multiple journals acting on these topics. In the last 5 years 25 of his research projects, national as well as international with a total budget over 5 million EUR were funded.
Keynote 3: Upgrading Road Weather Forecasts Using Car Sensor Data
Sylvain Watelet, with Joris Van den Bergh and Maarten Reyniers, Royal Meteorological Institute, Belgium
After a Bachelor’s degree in Physics and a Master’s degree in Climatology, Sylvain Watelet started a PhD related to Oceanography at the University of Liège in Belgium. He is author of several peer-reviewed publications in the field of Earth sciences. Since 2019, he is involved in the CELTIC-NEXT Project SARWS as a scientist of the Royal Meteorological Institute of Belgium. Enhancing road weather models through the use of car sensor data is one of his core interests.
This keynote focuses on the current upgrade of road weather models by the Royal Meteorological Institute of Belgium (RMI). An explanation on the different numerical weather prediction models and the types of weather forecasts is given. From there, we pinpoint the importance of significantly building up the amount and sources of weather observations in the near future in order to improve the forecasts of dangerous road conditions. Such data have been collected on cars during a recent field test in Antwerp within the project SARWS. The goal of this project is to use crowd-sourced vehicle data as a dense mobile observation network to enable the next generation of accurate, real-time road weather warnings. The Belgian SARWS consortium is composed of four private (VPS, Be-Mobile, Inuits, bpost) and two academic partners (IDLab-imec and the RMI). Moreover, the SARWS project is part of a larger, international CELTIC-NEXT project of 24 partners in 7 countries with the same name. The status of the Belgian project and model developments are then exposed together with the remaining open challenges.
Air Quality and MObility Extensible Sensor Platform
Laurent Morin, IRISA, University of Rennes, France; François Bodin, IRISA, University of Rennes, France; Benjamin Depardon, UCit, France; and Yiannis Georgiou, Ryax Technologies, France
Intelligent Transport Systems – Road weather information and forecast system for vehicles
Daria Stepanova, Timo Sukuvaara and Virve Karsisto, Finnish Meteorological Institute, Finland
PMs concentration forecasting using ARIMA algorithm
Andreea Badicu, George Suciu, Mihaela Balanescu, Marius Dobrea, Andrei Birdici, Oana Orza and Adrian Pasat, BEIA Consult International, Romania
The Spatial Estimation of Road Surface Condition using Spatiotemporal Features
Minwoo Lee, Yejong Ryu and YongJoo Jun, Dtonic Corporation, South Korea
Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets
Siegfried Mercelis, University of Antwerp – imec IDLab, Belgium; Sylvain Watelet, Royal Meteorological Institute of Belgium, Belgium; Wim Casteels, University of Antwerp – imec IDLab, Belgium; Toon Bogaerts, University of Antwerp – imec IDLab, Belgium; Joris Van den Bergh, Royal Meteorological Institute of Belgium, Belgium; Maarten Reyniers, Royal Meteorological Institute of Belgium, Belgium; and Peter Hellinckx, University of Antwerp – imec IDLab, Belgium
TRUST: Transportation and Road Monitoring System for Ubiquitous Real-Time Information Services
João Almeida, Instituto de Telecomunicações, Universidade de Aveiro, Portugal; Joãoo Rufino, Instituto de Telecomunicações, Universidade de Aveiro, Portugal; Francisco Cardoso, Ubiwhere, Lda., Portugal; Miguel Gomes, Microio – Serviços de Electró nica, Lda., Portugal; and Joaquim Ferreira, Instituto de Telecomunicações, Universidade de Aveiro, Portugal
Using floating car data for more precise road weather forecasts
Meike Hellweg, Karlsruhe Institute of Technology, Germany; John-Walter Acevedo-Valencia, German Weather Service, Germany; Zoi Paschalidi, German Weather Service, Germany; Jens Nachtigall, AUDI AG, Germany; Thomas Kratzsch, German Weather Service, Germany; and Christoph Stiller, Karlsruhe Institute of Technology, Germany