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 a need for 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 to break-up the historical separation in non-interoperable silos. In particular, the definition of a generic messaging system and a data publication/subscription service allow ITS stations run cooperative applications with the potential to improve ITS safety, sustainability, efficiency and comfort beyond what can be achievable by stand-alone systems. Therefore, exploiting and further extending C-ITS standards, has the potential to expand the local data collection mechanisms from traditional road weather and pollution data sources to completely innovative ones. A new generation of solutions is now possible, 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.
A system allowing to warn any driver, the urban population and automated cars, with practically any kind of on-board instrumentation would be interesting to many national road authorities and could contribute to the overall road safety, efficiency and comfort. 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.
Original, high quality contributions that are not yet published, submitted or not currently under review by journals or peer-reviewed conferences are sought.
Specific topics include, but are not limited to:
- Weather-aware cooperative perception
- Standards to accommodate weather/pollution data
- Field trials
- Impact of adverse road weather conditions in automated driving
- Road sensors
- Onboard pollution sensors
- Cooperative sensing
- Security and privacy issues
- Massive Machine Type Communications for CCAM
- Software agents for cooperative sensing
- Ad-hoc and mobile networks for the collection layer
- 5G V2X communications
- IEEE 802.11p and ITS –G5
- Security of communication
- Big data and AI for weather prediction
- Personal handheld devices as sensing peripherals
- Business models
Past editions of the workshop
The first edition of the workshop was co-located with the IEEE VTC2020-Spring in Antwerp, from the 25th of May to the 31st of July, as a virtual conference. The workshop program included the presentation of 7 papers and 3 keynote speeches. https://sites.google.com/view/ng-rows/home