Información de la Revista

IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS)

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Factor de Impacto:
5.3
Editor:
IEEE
ISSN:
2687-7813
Vistas:
11816
Seguidores:
0

Solicitud de Artículos

IEEE Open Journal of Intelligent Transportation Systems (OJ-ITS) is an academic journal published by IEEE. (ISSN 2687-7813, impact factor 5.3).

OJ-ITS Overview In keeping with IEEE’s continued commitment to providing options to support the needs of all authors, IEEE is introducing an Open Journal for the Intelligent Transportation Systems Society. We invite you to be among the first to have your article peer-reviewed and published in this new journal. This is an exciting opportunity for your research to benefit from the high visibility and interest the journal’s marketing launch will generate. Your work will also be exposed to 5 million unique monthly users of the IEEE Xplore® Digital Library. The IEEE Open Journal of the Intelligent Transportation Systems Society draws on the expert technical community to continue IEEE’s commitment to publishing the most highly-cited content. Our goal is to publish quickly—the rapid peer review process is targeting a publication time frame of 10 weeks for most accepted papers. This journal is fully open and compliant with funder mandates, including Plan S. ​It is important to our authors that all papers published in the IEEE Open Journal of Intelligent Transportation Systems will be indexed. OJ-ITS is listed in the Directory of Open Access Journals and is included in the Web of Science Core Collection through the Emerging Source Citation Index. As of December 2022, OJ-ITS accumulated the paper management, publication history, and scientific impact needed to be included in Scopus and was accepted for coverage. Aims & Scope The IEEE Open Journal of Intelligent Transportation Systems covers theoretical, experimental and operational aspects of electrical and electronics engineering and information technologies as applied to Intelligent Transportation Systems (ITS), defined as those systems utilizing synergistic technologies and systems engineering concepts to develop and improve transportation systems of all kinds. Topics of consideration are: Big data analytics, machine learning, AI applications Communication (inter-vehicle, vehicle-to-roadside) Computers (hardware, software) Control (adaptive, fuzzy, cooperative, neuro) Decision Systems (expert systems, intelligent agents) Systems (engineering, architecture, evaluation) Information Systems (databases, data fusion, security) ITS Energy and Environment ITS, freight and logistics ITS in Developing Countries Human-Machine Interfaces Imaging & Real-Time Image Analysis Privacy & security of ITS Sensors (infrastructure and vehicle-based) Simulation (continuous, discrete, real-time) Signal Processing Smart Public Transport Systems Societal implications of ITS Standards Reliability & Quality Assurance Technology Forecasting & Transfer ​Traffic Flow Modelling and Control
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