Scope

ACM Journal on Autonomous Transportation Systems aims to cover the topics in design, analysis, and control of autonomous transportation systems. The area of autonomous transportation systems is at a critical point where issues related to data, models, computation, and scale are increasingly important. Similarly, multiple disciplines including computer science, electrical engineering, civil engineering, etc., are approaching these problems with a significant growth in research activity. This area raises novel challenges for improving traffic operations, road safety, sustainability, and efficient road traffic and vehicle management in passenger and goods delivery. Indeed, the lives of people who travel along roads on a regular basis are directly affected by traffic management and safety. Such problems require communication cooperation on the road, including car-to-car and car-to-infrastructure. Further, unmanned aerial systems are also of interest. Efficient control and management decisions for transportation systems require interdisciplinary research across areas in communications and networking, control systems, machine learning, traffic engineering and transportation systems.

The expected topics of interest include, but are not limited to:

    Data Science in Autonomous Transportation Systems
    Communication and Real-Time Control in connected transportation systems
    Smart traffic analysis, management, and control solutions
    Public transit planning and operation
    Cooperation, Decentralization in IoVs and UAVs
    Algorithm Design for Autonomous Transportation Systems
    Mathematical Modelling of Traffic Flow
    Computation in Transportation Networks
    Algorithms for Urban and Inter-city Logistics Systems

Special Issue on Applications-Driven UAV Routing and Scheduling Algorithms for Autonomous Transportation Systems
Día de Entrega: 2024-10-15

Guest Editors:
⚫ Francesco Betti Sorbelli (francesco.bettisorbelli@unipg.it), Assistant Professor, University of Perugia, Italy
⚫ Punyasha Chatterjee (punyasha.chatterjee@gmail.com), Associate Professor, Jadavpur University, India
⚫ Christian Claudel (christian.claudel@utexas.edu), Associate Professor, UT-Austin, USA
⚫ Federico Corò (federico.coro@unipd.it), Assistant Professor, University of Padua, Italy

Drones, or Unmanned Aerial Vehicles (UAVs), have transformed into versatile tools with applications
across agriculture, environmental monitoring, delivery, and surveillance, revolutionizing operations
through real-time data collection and efficient task execution in diverse industries. However, challenges
impede their optimal performance. Limited energy capacity restricts operational time, especially in
extended or remote missions. Additionally, operating beyond the visual line of sight (BVLoS) introduces
safety, regulatory, and communication concerns, emphasizing the need for reliable control and
communication over extended distances, particularly in applications like long-distance inspections and
search and rescue missions.

To overcome these challenges, ongoing research and investigation are essential to unlock the full
capabilities of UAVs. Notably, the development of sophisticated scheduling and routing algorithms in
autonomous transportation systems plays a crucial role. These innovations aim to make UAVs as
indispensable tools, ultimately enhancing efficiency and productivity across various sectors.
This Special Issue focuses on a critical aspect of drone technology—developing effective routing and
scheduling algorithms for autonomous transportation systems. These algorithms serve as strategic
planners, determining how drones seamlessly integrate into various practical applications. The primary
goal is to collect cutting-edge research that advances algorithm design and explores real-world
implementations, establishing a robust theoretical foundation for UAV operations. Authors are
encouraged to contribute insights, experiences, and groundbreaking advancements, enriching the
knowledge that propels UAV research in autonomous transportation systems.

This Special Issue also welcomes selected and extended contributions from papers accepted at both the
IEEE Wi-DroIT 2024 workshop (https://widroit2024.github.io), and the IEEE ASDRoNet 2024 LCN special
track (https://asdronet2024.github.io), subject to a peer-review process.

Topics
Possible topics include, but are not limited to:
⚫ UAVs Path Planning and Scheduling in Autonomous Transportation Systems
⚫ Dynamic Traffic Management for Autonomous UAVs
⚫ UAVs and Beyond Visual Line of Sight (BVLoS) Operations

CALL FOR PAPERS
⚫ Energy-aware Applications in UAV-based Networks
⚫ Cellular and Satellite Networks and UAVs
⚫ Intelligent Solutions for UAV Communications
⚫ Cyber-security and Communication Protocols of UAVs
⚫ Security and Privacy in Autonomous UAV Networks for Transportation
⚫ Green and Sustainable Applications of UAVs
⚫ Autonomous Search and Rescue Operation Using UAVs
⚫ Autonomous Transportation in Agriculture Using UAVs
⚫ Parcel Delivery Using UAVs
⚫ Autonomous Warehousing and Logistics Using UAVs
⚫ Autonomous UAVs in Humanitarian Transportation
⚫ Healthcare Delivery using Autonomous UAVs
⚫ Autonomous and Remote Sensing in UAV-Enabled Sensor Networks
⚫ Sensors Localization and UAVs Tracking Techniques with UAVs
⚫ Urban Air Mobility (UAM) Systems for Autonomous UAVs
⚫ Autonomous UAV Swarming Techniques for Transportation Systems
⚫ Regulatory Compliance and Autonomous UAV Routing in Transportation Systems
⚫ Test-beds and Experimental Results for UAV in Transportation Systems

Important Dates
⚫ Open for Submissions: May 1, 2024
⚫ Submission Deadline: October 15, 2024
⚫ Decision Notification of the First Review Round: December 20, 2024
⚫ Final Decision Notification: February 15, 2025
⚫ Expected Publication: April 1, 2025