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ACM Journal on Autonomous Transportation Systems (JATS)

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Publisher:
ACM
ISSN:
2833-0528
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ACM Journal on Autonomous Transportation Systems (JATS) is an academic journal published by ACM. (ISSN 2833-0528).

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
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