*Special Issue *on 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)), crowd sensing, 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
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
· The future of connected and autonomous vehicles.
· AI/ML/DL models and capabilities for connected and autonomous
· Big data analysis in connected and autonomous vehicles.
· Analytics platforms using AI methodologies for on-board vehicle
· 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
· Development and deployment of architectures for connected and
· Performance design, modeling and evaluation of connected and
· 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 (
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.
- Submission deadline: 01/03/2019
- Author Notification: 01/5/2019
- Final Manuscript: 1/7/2019
- 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. [log in to unmask]
Dr. *Ammar Rayes*, Cisco Systems, USA. [log in to unmask]
Dr. *Yaser Jararweh*, Jordan University of Science and Technology,
[log in to unmask]
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