Recent rapid advances in Mobile Ad-hoc Networks, Wireless Networks, and Sensor Devices have introduced Vehicular Network as an interesting topic to the research community, one that has received much attention from practitioners, scholars, and the public. The Vehicular Network, also known as Inter-Vehicle Communication Network, focuses on the spontaneous creation of a wireless communication network among vehicles, and further providing better transportation for users. Considering that we are in the era of Intelligence, many technologies and applications emerge to develop a more sustainable, efficient, and safe transportation system, such as smart traffic management systems and autonomous car systems. However, there are still many open research problems in this field, such as security and privacy issues during the data communication, green vehicle routing, and the integration of sensors, vehicular network, data center, and the existing transportation systems. To this end, this workshop aims to create a platform for scholars, industry professionals, and government officials to discuss and share new research idea and technologies in the Vehicular Network and its applications.

Original, unpublished contributions are solicited in all aspects of Vehicular Networks from theory to systems and applications. Topics of interest include, but are not limited to:

• New Applications of Vehicular Networks
• Deployment Strategies of Roadside Units
• Quality of Service in Vehicular Networks
• Vehicular Networks-related Edge-to-Fog-to-Cloud
• Communications and Network Protocols in Vehicular Networks (V2V, V2I and V2X)
• Big Data in Vehicular Networks
• Artificial Intelligence/Machining Learning in Vehicular Networks
• Block-chain Technologies in Vehicular Networks
• 5G Technologies in Vehicular Networks
• Security Issues in Vehicular Networks
• Privacy Issues in Vehicular Networks
• Trust Management in Vehicular Networks
• Congestion Control in Vehicular Networks
• Simulation and Evaluation Techniques for Vehicular Networks
• Traffic Management
• Modeling of Vehicular Networks
• Multiple System Integration for Vehicular Networks
• Data Storage, Retrieval, and Management in Vehicular Networks
• Autonomous Vehicles
• Green Vehicle Routing
• Vehicular Networks in the Internet of Things
• Software-Defined Networks in Vehicular Networks
• Vehicular Networks in Smart City
• Power Management of Electric Vehicles
• Radio Propagation Aspects of Vehicular Networks
• Cooperative Driving
• In-Vehicle Network Communications

• Paper Submission Deadline: August 20, 2019, 23:59 September 16, 2019
• Notification of Acceptance: August 27, 2019 October 4, 2019
• Camera-ready version: August 30, 2019 October 22, 2019

• All submissions should be written in English and using IEEE Computer Society Proceedings Manuscripts style: single-spaced, double-column pages using 10pt size fonts on 8.5 x 11 inch pages, with side-margin at least 1 inch, including all figures, tables, and references, in PDF format. More information and template downloads can be found at the IEEE MASS main page.
• Submitted papers should not be published or under review elsewhere.
• Regular submissions are restricted to 6 pages.
• Submission link: https://easychair.org/conferences/?conf=iwaivn2019

General Chairs:

• Wei Chang, Saint Joseph's University
• Ning Wang, Rowan University

If you have any questions about this workshop, please contact the following email address: iwaivn2019<AT>easychair<DOT>org

Please note that at least one author of each accepted paper needs to register and present the paper at the workshop. The registration deadline is Oct 15th, 2019.

Please refer to the main conference IEEE MASS 2019 for hotel and local information.

• Intrusion Detection For Controller Area Network Using Support Vector Machines

Vinayak Tanksale (Purdue University, United States)

• Optimizing Traditional Transforms for Vehicular Network Sign Classification

Carl Cheng, Yu Shen and Patrick Liu (XSense.ai, United States)

• HyLoc - A Hybrid Localization and Communication System for Vehicles in Mixed Terrain Environments

Emad Felemban and Adil Sheikh (Umm Al-Qura University, Saudi Arabia)