Machine learning for next?generation intelligent transportation systems: A survey
نویسندگان
چکیده
Intelligent transportation systems, or ITS for short, includes a variety of services and applications such as road traffic management, traveler information public transit system autonomous vehicles, to name few. are expected be an integral part urban planning future smart cities, contributing improved safety, efficiency, well increased energy efficiency reduced environmental pollution. On the other hand, pose challenges due its scalability diverse quality-of-service needs, massive amounts data it will generate. In this survey, we explore use machine learning (ML), which has recently gained significant traction, enable ITS. We provide thorough survey current state-of-the-art how ML technology been applied broad range services, cooperative driving hazard warning, identify directions can further benefit from technology.
منابع مشابه
Study of Machine Learning Methods in Intelligent Transportation Systems
......................................................................................................................................... iii ACKNOWLEDGEMENTS .............................................................................................................. v LIST OF TABLES .................................................................................................................
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ژورنال
عنوان ژورنال: Transactions on Emerging Telecommunications Technologies
سال: 2021
ISSN: ['2161-5748', '2161-3915']
DOI: https://doi.org/10.1002/ett.4427