Artificial Intelligence for Self-Organizing Smart Transportation System

  in Special Issue   Posted on September 28, 2020

Information for the Special Issue

Submission Deadline: Thu 29 Jul 2021
Journal Impact Factor : 1.161
Journal Name : Microprocessors and Microsystems
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/microprocessors-and-microsystems/call-for-papers/artificial-intelligence-for-self-organizing-smart-transporta
Journal & Submission Website: https://www.journals.elsevier.com/microprocessors-and-microsystems

Special Issue Call for Papers:

Topic Summary

Self-organizing smart transportation system is an emerging area of research, and its application is getting increased attention from industrial as well as the academicians of our recent times. Globally speaking, mobility becomes an integral part of urban areas; this is especially true when dealing with smart cities. Smart transportation systems take advantage of technologies such as the internet of things (IoT), cloud computing, and big data analytics to enhance various means of transportation services. Self-organizing the smart transportation system is a significant shift of paradigm in smart transportation systems in which the transportation facilities are arranged between agents with transportation demand and agents with transportation supply more effectively across the peer-to-peer network. In contrast to traditional intelligent transportation systems, self-organizing smart transportation systems function in an automated way in a decentralized manner. It offers sustainable transportation services through a network of interconnected sensors and smart devices, which offers more efficient, sophisticated, and robust transportation services to the end-users. In such systems, enhancing the functionalities of smart devices, networking technologies, and regulatory measures is of greater importance, and it is often difficult as it requires the most advanced level of advanced intelligent technologies.

In this context, this special issue aims to bring out advances in artificial intelligence (AI) for self-organizing smart transportation systems. It is well-known that AI forms an integral part of IoT applications, and smart transportations systems are not an exception in this regard. Appropriate use of AI technologies offer robust services across self-organized smart transportation systems with enhanced passenger safety, reduced CO2 emission, improved traffic management, and congestion facilities. To the point, AI as technology can widely empower machines with human intelligence to provide more customized transportation services to the end-users. For now, AI plays a significant role in smart transportation applications. However, it has some complexities when dealing with fully automated transportation systems with no human interventions. Hence, bringing in advancement in AI for self-organizing smart transportation will contribute to numerous benefits such as autonomous driving cars, traffic management systems, delay predictions, route navigations, and various other features in an efficient way. This especially can enhance future generation requirements of smart transportation systems.

Topics of interest for the special issue include, but not limited to, the following:

  • AI for autonomous vehicle and traffic management systems
  • Self-adaptive AI algorithms for self-organizing smart transportation systems
  • Future of AI-empowered self-organizing smart transportation systems challenges and opportunities
  • Blockchain assisted distributed machine learning solutions for self-organizing smart transportation systems
  • AI-assisted cloud/fog computing-based advanced network architectures for self-organizing smart transportation systems
  • AI-empowered traffic management and congestion control solutions for self-organizing smart transportation systems
  • Role of IoT and AI in future generation self-organizing smart transportation systems
  • AI-assisted sensor technologies for navigation management in self-organizing smart transportation systems
  • Deep learning and artificial intelligence for autonomous driving of vehicles in self-organizing smart transportation systems
  • Role of ethical computational intelligence in self-organization smart transportation systems
  • Implications of human-computer interaction and cognitive computing in self-organization smart transportation systems

Tentative Schedule:

Submissions Deadline: July 29, 2021

First Reviews Due: October 03, 2021

Revision Due: December 06, 2021

Second Reviews Due: February 25, 2022

Notification of Final Decision: May 10, 2022

Publication Date: As per Journal Decision

Profile of guest editors:

Leading Guest Editor

Dr. Syed Hassan Ahmed
JMA Wireless, USA.
Email: sh.ahmed@ieee.org

Syed Hassan Ahmed is currently working at JMA Wireless as a Product Specialist for Distributed Antenna System (DAS), CBRS, Small Cell, and virtualized RAN product line. Previously, he was an Assistant Professor in the Department of Computer Science at Georgia Southern University, USA. He also founded Wireless Internet and Networking Systems (WINS) lab. Prior to this, he was a Post-Doctoral Fellow in the Department of Electrical and Computer Engineering, University of Central Florida, Orlando, USA. Before moving to the United States, he completed his BS with honors in CS from Kohat University of Science & Technology (KUST), Pakistan and Master combined Ph.D. Degree from School of Computer Science and Engineering (SCSE), Kyungpook National University (KNU), Republic of Korea (South Korea). In summer 2015, he was also a visiting researcher at Georgia Tech, Atlanta, USA. Overall, he has authored/co-authored over 200 international publications including Journal articles, Conference Proceedings, Book Chapters, and 03 books. In 2016, his work on robust content retrieval in future vehicular networks lead him to win the Qualcomm Innovation Award at KNU, Korea. Dr. Hassan’s research interests include Sensor and Ad hoc Networks, Cyber-Physical Systems, Vehicular Communications, and Future Internet. He is currently the Member of the Board of Governors and IEEE VTS liaison to IEEE Young Professionals society. From the year 2018, he is also an ACM Distinguished Speaker. Furthermore, Dr. Hassan is a Senior IEEE and ACM Professional member, served as a TPC Member or Reviewer in 100+ International Conferences and Workshops including IEEE Globecom, IEEE ICC, IEEE CCNC, IEEE ICNC, IEEE VTC, IEEE INFOCOM, ACM CoNEXT, ACM MobiHoc, ACM SAC, and many more. Furthermore, he has been reviewing papers for 30+ International Journals including IEEE Magazines on Wireless Communications, Networks, Communications, IEEE Communications Letters, IEEE Sensors Letters, IEEE Transactions on Industrial Informatics, Vehicular Technologies, Intelligent Transportation Systems, Big Data, and Mobile Computing. Moreover, Dr. Hassan has been an editorial member of more than 30 Special Issues with top-ranked journals in Communication Society and serving as an editorial board member of KSII Transactions on Internet & Information Systems, Wiley’s Internet Technology Letters, Transactions on Emerging Telecommunications Technologies, IEEE Newsletters on Internet Initiative, Future Directions, and Software Defined Networks.

Dr. Murad Khan
School of Computer Science and Engineering, Kyungpook National University, South Korea.
Email:mkhan@knu.ac.kr

Murad Khan received a B.S. degree in computer science from the University of Peshawar Pakistan in 2008. He completed his Master’s and Ph.D. degrees both in computer science and engineering from the School of Computer Science and Engineering at Kyungpook National University, Daegu, Korea. He has published over 80 International conference and Journal papers along with two book chapters and edited books in Springer and CRC Press. He has served as an editorial member of various special sections in world-renowned journals such as Computer & Electrical Engineering, Transactions on Emerging Telecommunications Technologies, etc. He also served as a TPC member in world reputed conferences and as a reviewer in numerous journals such as IEEE Communication Magazine, Future Generation Systems, IEEE Access, etc. His area of expertise includes ad-hoc and wireless networks, architecture designing for the Internet of Things, and Communication Protocols designing for smart cities and homes, Big Data Analytics, etc.

Dr. WaelGuibene
Charter Communications, USA.
Email:wael.guibene@ieee.org

WaelGuibene is a Principal Engineer and Director – Wireless R&D at Charter Communications leading the IoT standards and systems. Wael is now also serving as Chairman of the Marketing Committee for the LoRa Alliance. Prior to this role, Wael was a Wireless Systems Architect at Amazon Lab126 working on Amazon Echo devices wireless and HW architecture and lead architect of the Amazon SideWalk on Echo devices. Prior to joining Lab126, Wael worked as a Sr. Systems Engineer at Intel working on novel RF/wireless architectures and IoT systems/protocols design. Before joining Intel, he worked for Semtech as a wireless protocol engineer on LoRa/LoRaWAN. Prior to that, he worked at EURECOM on EU projects related to 4G/5G. Wael is holding an MEng and MSc in EE/Telecommunications and a Ph.D. in Electronics and Communications. Wael published 40+ IEEE/ACM papers and holds 20+ patents. His expertise is LPWA, 5G, M2M/IoT, and E2E system architecture and design.

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