W8: Vehicular Information Services for the Internet of Things (VISIT 2019)

Organized by Sherin Abdelhamid (Autonomous Vehicle Innovation Network, Ontario Centres of Excellence, Canada) and Khalid Elgazzar (University of Ontario Institute of Technology, Canada)

Time: 09:00–12:30
Room: Kaimuki 3

Abstract: Among the key enablers of the Internet of Things (IoT), smart vehicles promise solutions for providing on-road communication and ubiquitous information services. In-vehicle sensors, diversified communication modules, and an on-board unit with high computing and storage capabilities enable the smart vehicle to become a mobile resource provider. Expanding the smart vehicle-based services/applications beyond the intelligent transportation services requires new service scopes, innovative system architectures, and design enabling technologies. Enabling pervasive and diversified vehicular service provisioning in the IoT era requires the synergy of distributed cloud and fog computing, networking infrastructures, crowdsourcing, public sensing, information-centric networking, privacy and security techniques. Our main objective is to highlight ongoing efforts in this area, and to address issues that arise from smart vehicles such as resource and service discovery, data communication and delivery, quality of information assessment, resource recruitment, and incentive modelling. We encourage high quality submissions of technical research papers, industrial papers, position papers, and tool demonstration papers.

Topics

• Emerging vehicular applications and services
• Intelligent transportation systems
• Pervasive sensing and computing in vehicular environments
• Vehicular platform, prototype, and middleware design and evaluation
• Context management in ubiquitous scenarios and mobile services
• Vehicular cloud applications and architectures
• Vehicular public/crowd sensing
• Data aggregation, storage, and management architectures
• Sensor fusion in vehicle and IoT levels
• Service and resource discovery
• Participant selection and recruitment
• Data delivery and routing
• Inter and intra-vehicle communication
• Incentive and pricing models
• Mobility prediction and management
• Machine learning for vehicular services
• IoT heterogeneity/interoperability issues
• Vehicular information-centric networks
• Vehicular localization mechanisms and algorithms
• Privacy and security mechanisms
• Quality of information and reputation assessment
• Software architecture and design for vehicle-enabled IoT
• Reliability, availability, and scalability in ubiquitous vehicular services

Workshop home: https://visit19.weebly.com/#

Submit a paper: https://vtc2019f-rr-wks.trackchair.com/track/1799