Scope

The IEEE Transactions on Intelligent Transportation Systems covers fundamental and applied research on all scientific and technical aspects of modern transportation systems, including but not limited to sensing, communications, controls, planning, design, and implementation of intelligent transportation systems. It covers theory, methodologies, modeling and simulation, experimentation, and evaluations of transportation systems that include multi-modal transportation, surface transportation traffic, coordinated multiple vehicles, infrastructure, and other road users (pedestrians, bicyclists, etc.) and their interactions. The Transactions also serve as a forum for the design, analysis, and control of information technology as it is applied to transportation systems. Read more on IEEE Xplore.

Interested in submitting? See below for submission information. Topics covered include, but are not limited to, the following:

    Communications (intervehicle and vehicle-to-road- side)
    Computers (hardware, software)
    Control (adaptive, fuzzy, cooperative, neuro)
    Decision Systems (expert systems, intelligent agents)
    Systems (engineering, architecture, evaluation)
    Information Systems (databases, data fusion, security)
    Man-Machine Interfaces (displays, artificial speech)
    Imaging & Real-Time Image Analysis
    Sensors (infrastructure and vehicle-based)
    Simulation (continuous, discrete, real-time)
    Signal Processing
    Standards
    Reliability & Quality Assurance
    Technology Forecasting & Transfer

Special Issue on Intelligent Autonomous Transport System for 6G Network
Submission Date: 2024-10-01

We have recently experienced an incredible surge of interest in connected and
autonomous vehicles and related enabling technologies, which are expected to
revolutionize future Intelligent Transportation Systems (ITS). This surging demand and
popularity of ITS with the Internet of Vehicles technology has led to a tremendous rise in
connected vehicles. Driven by this massive number of connected vehicles and the
stringent requirements of autonomous vehicles and data-intensive applications such as
ultralow latency, high reliability, and high security, intelligent transportation systems are
rapidly moving to the 6G networks. The 6G supported ITS is expected to transform
society and the economy by delivering unprecedented, seamless, reliable, efficient, and
massive connectivity to millions of users and connected vehicles. Artificial Intelligence
(AI) has been used widely with autonomous vehicles and connected transportation
systems to improve efficiency and performance. Various Machine Learning (ML) and
Deep Learning (DL) techniques have been recently employed to support dynamic
decision-making, adaptive resource allocation, intelligent traffic control, and intrusion and
misuse detections. Artificial Intelligence will be a crucial feature and one of the main
drivers of 6G supported Intelligent Autonomous Transport Systems, and research in this
direction is expected to gain momentum in the coming years. This series aims to provide
the scientific community with a comprehensive overview of innovative technologies,
advanced architectures, and potential challenges for 6G supported Intelligent
Autonomous Transport Systems. This Series solicits articles addressing numerous topics
within its scope, including, but not limited to, the following:

•Novel architectures for 6G enabled Intelligent Autonomous Transport Systems.
•Resource management in 6G enabled Intelligent Autonomous Transport Systems.
•Blockchain, security, vulnerability scanning technologies in Intelligent Autonomous Transport Systems.
•Mapping, localization, and controlling 6G enabled Intelligent Autonomous Transport Systems.
•AI for intelligent vehicular misuse/intrusion detection.
•Mobile edge intelligence and computing with 6G enabled Intelligent Autonomous Transport Systems.
•Communication architectures and implementations in 6G enabled Intelligent Autonomous Transport Systems.
•6G supported Intelligent UAV networks.
•Real-time traffic management and control in 6G enabled Intelligent Autonomous Transport Systems.
•Integrating space and terrestrial networks.
•Field trials, tests, and deployment challenges.
•Breakthrough technologies and concepts in 6G enabled Intelligent Autonomous Transport Systems.
•Future perspectives of 6G enabled Intelligent Autonomous Transport Systems.

Submission Guidelines
Paper submission should conform to the information for authors available at
https://mc.manuscriptcentral.com/t-its. Papers can be submitted before the deadline.
•First submission deadline: 1 Oct 2024
•Notification of first decision: 1 Jan 2025
•First revision submission deadline: March 2025
•Notification of final decision: May 2025
•Final manuscript (camera ready) submission deadline: June 2025
•Issue of Publication: 1 Oct 2025

Editors

•Shahid Mumtaz
Nottingham Trent University, UK
Email: dr.shahid.mumtaz@ieee.org

•Muhammad Ikram Ashraf
Nokia Bell Labs, Espoo, Finland.
Email: ikram.ashraf@nokia-bell-labs.com

•Varun G Menon
SCMS School of Engineering and Technology, India.
Email: varunmenon@ieee.org

•Anwer Al-Dulaimi
Veltris, Canada. Chair of 5G/6G Innovation Testbed
Email: anwer.aldulaimi@ieee.org

Special Issue on Recent Advances in Safety and Reliability for Transportation Cyber-Physical Systems (T-CPS)
Submission Date: 2024-10-01

Cyber-physical systems is an exciting growing research field with the benefits of efficiency and flexibility
improvement, safety monitoring, and control enhancement, and have attracted the attention of many
researchers. CPS has propelled transportation system innovation and formed a Transportation Cyber-
Physical System (T-CPS). TCPS aims to merge the 3C technologies of Computing, Communication, and
Control, integrate transportation information elements with transportation physical elements, and leverage
the advantages of information technology in perception, transmission, and optimization control. However,
this also imposes safety, reliability, security, and trust challenges, which highlights the need to develop
novel methodologies to address these challenges. T-CPS is helpful to increase the efficiency,
controllability, and reliability of a physical system, i.e., vehicle collision avoidance. There are various
transportation-based components interconnect and processes with the cyber world to improve safety,
security, and comfort. A new-age T-CPS already provides unprecedented opportunities and exemplary
results that were not possible with legacy transportation systems. This continuous and exponential growth
is facilitated by investments and research activities originating from industry, academia, and governments
while the penetration of these technologies is also driven by the high technology acceptance rates of both
consumers and technologists across disciplines.

This special issue will promote state-of-the-art research covering all aspects of safety control,
dependability, and fault tolerance in T-CPS through contributions from scholars, contributing to the
growth in the research and development of T-CPS. Particularly, authors are encouraged to submit their
original research and review articles in theoretical, methodological, or practical focuses, such as
simulation models, algorithms, experiments, and applications for big complex reliable transportation
systems. We are soliciting original high-quality research papers on topics that include, but are not limited
to, the following:

•Case studies, test beds, prototypes, and practical systems for T-CPS;
•Dependability, Security, and privacy issues for T-CPS;
•Safe control systems design for T-CPS;
•Fault diagnostics for T-CPS
•Alarm management and safety monitoring;
•Safety protection in T-CPS;
•Intrusion detection and attacker localization for cyber-physical systems
•Model-based process risk assessment and prevention;
•Testing and verification of dependable T-CPS
•Model-based control and estimation algorithms for T-CPS
•Machine learning-based methods for safety and reliability of T-CPS

PAPER SUBMISSION
Manuscripts should be submitted at http://mc.manuscriptcentral.com/t-its.

IMPORTANT DATES
First submission deadline: October 1, 2024
Notification of first decision: January 1, 2025
Firs Revision submission deadline: March 25, 2025
Notification of final decision: June 1, 2025
Final manuscript (camera ready) submission deadline: July 1, 2025
Expected Publication Issue: September 2025

EDITORS

Chinmay Chakraborty
Electronics and Communication Engineering, Birla Institute of Technology, Mesra, India
Email: cchakrabarty@bitmesra.ac.in

Anh-Tu Nguyen
INSA Hauts-de-France, Université Polytechnique Hauts-de-France, France
E-mail - tnguyen@uphf.fr

Chao Huang
Department of Industrial and System Engineering, The Hong Kong Polytechnical University, Hong Kong
Email: hchao.huang@polyu.edu.hk

Houbing Song
University of Maryland, Baltimore County, USA
Email: songh@umbc.edu

Special Issue on Advanced Air Mobility Integration into Multimodal Transportation Systems
Submission Date: 2025-02-01

The vision of Advanced Air Mobility (AAM) consists of using novel aircraft technologies (from
small drones to larger air taxis) to safely and efficiently transport people and goods in urban,
suburban, and rural settings. However, to maximize utility, AAM cannot be a siloed mode of
transportation: It needs to integrate effectively and seamlessly with other modes of transportation.
AAM entails more coupling between aviation and the other modes of transportation, which
includes complementary (AAM and other modes) and competitive (AAM or other modes)
interoperability. The vision is to augment the gate-to-gate perspective towards that of a door-to-
door, passenger-centric perspective, ensuring that the ultimate goal of better people and package
mobility is achieved.

With AAM there is an opportunity to shift the paradigm towards a holistic total mobility perspective
from the onset to ensure its success. New cross-cutting research is needed to achieve this multi-
modal perspective, including infrastructure, logistics, operations, data fabrics, technologies and
automation, security, seamlessness, and resilience. To collect, curate, and disseminate the
latest, high-quality research related to multimodal transportation and AAM, a joint SI
spanning multiple journals covering aviation, intelligent transportation systems, and
operations research/modeling, anchored by a diverse set of guest editors, is proposed.
Submitted papers will be reviewed for publication in a coordinated, joint SI between:

• AIAA Journal of Air Transportation
o Link: https://arc.aiaa.org/journal/jat
o Submissions will be peer reviewed according to the usual standards of AIAA
Journal of Air Transportation, and should be submitted online at:
https://mc.manuscriptcentral.com/aiaa-jat

• IEEE Transactions on Intelligent Transportation Systems
o Link: https://ieeexplore.ieee.org/xpl/aboutJournal.jsp?punumber=6979
o Submission will be peer reviewed according to the usual standards at IEEE
Transactions on Intelligent Transportation Systems, and should be submitted
online at: https://mc.manuscriptcentral.com/t-its

• INFORMS Transportation Science
o Link: https://pubsonline.informs.org/journal/trsc
o Submissions will be peer reviewed according to the usual standards of
Transportation Science, and should be submitted online via ScholarOne
Manuscripts at: http://mc.manuscriptcentral.com/transci

Potential topics of interest
The following non-exhaustive list of topics are of particular interest, although the guest editors
welcome any high-quality submissions that fit under the theme of multimodal transportation and
AAM:
- Passenger-oriented end-to-end models
- Vehicle-oriented models (e.g., vehicle/crew/fuel connectivity)
- Multimodal data fabric and information sharing
- Multimodal measures and metrics
- Multimodal planning optimization
- Air-ground integration
- Integration of fleet, crew, and traffic management
- Resiliency through multimodal integration
- Seamlessness across modes
- Technology and autonomy enablers of multimodality
- Multimodal security challenges
- Developing/deploying multimodal testbeds
- Economics of multimodal AAM
- Policies and regulations related to multimodal AAM

Guidance on paper submission / venue selection

This joint SI on AAM and multimodal transportation is of direct interest to AIAA’s Journal of Air
Transportation (AIAA JAT) as the SI will help the air transportation community to be exposed to
and engaged with the transformational changes induced by AAM and its multi-modal implications.
The SI will motivate the air transportation community to expand the air transportation state of the
art into the multi-modal dimension by considering inter-operability with the other modes of
transportation. Submissions handled by AIAA JAT will focus on the implications of the multi-modal
interoperability on the theory, application, technologies, operations, economics and policies of air
transportation.

Additionally, this joint SI is of direct interest for Transactions on Intelligent Transportation Systems
(IEEE T-ITS), given the need for research into the design/analysis/control of information
technology between AAM modalities and existing transportation modalities. Additional areas of
alignment include multi-way interactions between vehicles, humans, information technology, and
physical infrastructure. Submissions to be handled by T-ITS will have explicitly identified research
focused on the intersections of AAM, multimodal transportation, and intelligent transportation
systems.

Lastly, this joint SI on AAM and multimodal transportation is of direct interest to INFORMS’
Transportation Science (INFORMS TS) as the SI will bring its multi-disciplinary transportation
scientific community to the forefront of setting the scientific foundation in terms of operations
research, optimization, and operations management of the transformations induced by AAM and
its multi-modal characteristics. Fundamental theories in addition to experimental studies are
needed to handle the unprecedented levels of heterogeneity and complexity involved with the
AAM transportation mode and its integration with the other modes of transportation. Submissions
handled by INFORMS TS will center scientific contributions in the multi-modal transportation plus
AAM, integrating planning, optimization, economics, performance analysis, and social impacts.

Guest Editors
Husni Idris, NASA, husni.r.idris@nasa.gov
Max Li, University of Michigan, maxzli@umich.edu
Craig Wanke, MITRE, cwanke@mitre.org
Hani Mahmassani, Northwestern University, masmah@northwestern.edu
Hamsa Balakrishnan, MIT, hamsa@mit.edu

Timeline
Call for paper released June 1, 2024
First round submission deadline Feb 1, 2025
First round decisions May 2025
Revised manuscript deadline August 2025
Second/final decisions Oct 2025
Special issue publication End of 2025