***** To join INSNA, visit http://www.insna.org *****
Journal title: Internet Technology Letters - Wiley
Special Issue Title: Leveraging Advanced Technologies and Tools for Connected Vehicles: Challenges and Future Trends
Aims & Scope: The digital revolution is making a huge impact on the automotive industry, offering a more reliable driving experience through self-driving, vehicle decision making, and connected autonomous vehicles technologies. Connected autonomous-driving vehicles come with high communication capabilities and various degrees of autonomy to resolve unlimited number of transportation issues (e.g., traffic congestion, accidents and safety), cope with the evolution of Intelligent Transportation System (ITS), and offer a new concept of service on-demand delivery. As most vehicle drivers see these technologies unsafe and unreliable, around 1.2 million people are killed every year due to drivers’ errors in car accidents. Therefore, these technologies are envisioned to make these smart vehicles dominate the roads by 2030 creating substantial economic benefits manifested in the form of safer roads, significantly reduced congestions, improved equity and accessibility to transportation, offer a new service delivery concept (driverless and self-driving vehicle or on-demand service vehicle). Employing advanced technologies and tools, such as, 5G, blockchain, Artificial Intelligence (i.e. Machine Learning (ML), Reinforcement Learning, and Deep Learning (DL)), crowdsensing, crowd management, to name a few, in delay-sensitive data-processing applications (e.g., autonomous vehicles) deems imperative for making informed and instant decisions without human interference. Thus, only those who adopt these machinery advancements can successfully compete in this changing ecosystem.
The aim of this special issue is motivating researchers from academia, industry, and individuals to investigate the future of connected and autonomous vehicles leveraging the use of advanced technologies and submit their novel contributions to this special issue.
The special issue covers topics that include, but not limited to, the below:
· The future of connected and autonomous vehicles.
· AI/ML/DL models and capabilities for connected and autonomous vehicles.
· Big data analysis in connected and autonomous vehicles.
· Analytics platforms using AI methodologies for on-board vehicle sensing.
· IoT-driven sensing-solutions for connected and autonomous vehicles.
· Security and privacy of connected and autonomous vehicles.
· Cyber-physical system of connected and autonomous vehicles.
· Exploring computation at the edge of connected and autonomous vehicles.
· Development and deployment of architectures for connected and autonomous vehicles.
· Performance design, modeling and evaluation of connected and autonomous vehicles.
· Blockchain for connected and autonomous vehicles.
· 5G technologies enabling connected and autonomous vehicles.
· Congestion Mitigation in vehicular dense crowded environment.
Coherent list of topics:
Papers must be tailored to the emerging fields of connected and autonomous vehicles employing and explicitly consider recent advancements in machine learning and artificial intelligence novel tools and techniques. The length of the articles should not exceed 4 pages in total. The guest editors maintain the right to reject papers they deem to be out of scope of this special issue. Only originally unpublished contributions and invited articles will be considered for this special issue. The papers should be formatted according to the ITL guidelines (https://pericles.pericles-prod.literatumonline.com/page/journal/24761508/homepage/forauthors.html). Authors should submit a PDF version of their complete manuscript via ITL submission portal at (https://mc.manuscriptcentral.com/itl) according to the timetable below. For more information on formatting (Latex and word), please refer to: https://onlinelibrary.wiley.com/journal/24761508.
Important Dates (Tentative):
· Submission deadline: September 30, 2019
· Author Notification: October 30, 2019
· Final Manuscript: Nov 30, 2019
· Publication: Q4-2019
Dr. Moayad Aloqaily, Carleton University and Gnowit Inc., Ottawa, ON, Canada. [log in to unmask]
Dr. Thar Baker, Liverpool John Moores University, UK.
Dr. Ammar Rayes,
Cisco Systems, USA.
Dr. Yaser Jararweh, Jordan University of
Science and Technology.