- SARWS held the 1st International workshop on Next Generation Road Weather and Air Pollution Services (NG-ROWS) workshop within VTC2020-Spring online conference on May 27-29 2020.
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.
During this workshop, the following articles were presented:
|PID1249552||Air Quality and MObility Extensible Sensor Platform
Laurent Morin, François Bodin, IRISA – University of Rennes 1; Benjamin Depardon, UCit; Yiannis Georgiou, Ryax Technologies; Emilie Germetz, Neovia Innovation
|PID1249472||Intelligent Transport Systems – Road weather information and forecast system for vehicles
Daria Stepanova, Timo Sukuvaara, Virve Karsisto, Finnish Meteorological Institute
|PID1249412||PMs concentration forecasting using ARIMA algorithm
Andreea Badicu, George Suciu, Beia Consult International; Mihaela Balanescu, Beia Consult International, Romania; Marius Dobrea, Andrei Birdici, Oana Orza, Beia Consult International; Adrian Pasat, BEIA Consult International
|PID1249708||The Spatial Estimation of Road Surface Condition using Spatiotemporal Features
Minwoo Lee, DTONIC, South Korea
|PID1250030||Towards Detection of Road Weather Conditions using Large-Scale Vehicle Fleets
Siegfried Mercelis, University of Antwerp – imec IDLab; Sylvain Watelet, RMI; Wim Casteels, Toon Bogaerts, University of Antwerp – imec, IDLab – Faculty of Applied Engineering; Joris Van den Bergh, Maarten Reyniers, Royal Meteorological Institute of Belgium; Peter Hellinckx, University of Antwerp, Belgium
|PID1249484||TRUST: Transportation and Road Monitoring System for Ubiquitous Real-Time Information Services
João Almeida, João Rufino, Instituto de Telecomunicações – Aveiro; Francisco Cardoso, Ubiwhere; Miguel Gomes, Micro I/O; Joaquim Ferreira, Instituto de Telecomunicações, Universidade de Aveiro
|PID1249130||Using floating car data for more precise road weather forecasts
Meike Hellweg, Karlsruhe Institute of Technology
- SARWS project was presented in “Optimization of an air quality monitoring system through an efficient data processing algorithm” article at International Conference GREDIT 2020 on 23-25 April 2020. The authors of the article are: Mihaela Balanescu, George Suciu, Marius Dobrea, Adrian Pasat, Andrei Birdici, Cristina Balaceanu, M. Anghel, C. Dobre.