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