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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Big Data Analytics in Intelligent Transportation Systems: A Survey
ترجمه فارسی عنوان مقاله:
تحلیل داده های بزرگ در سیستم های حمل و نقل هوشمند: نظرسنجی
منبع:
IEEE - 1524-9050 © 2018 IEEE: Personal use is permitted, but republication/redistribution requires IEEE permission:
نویسنده:
Li Zhu, Fei Richard Yu ,Yige Wang, Bin Ning,Tao Tang
چکیده انگلیسی:
Big data is becoming a research focus in intelligent
transportation systems (ITS), which can be seen in many projects
around the world. Intelligent transportation systems will produce
a large amount of data. The produced big data will have
profound impacts on the design and application of intelligent
transportation systems, which makes ITS safer, more efficient,
and profitable. Studying big data analytics in ITS is a flourishing
field. This paper first reviews the history and characteristics of
big data and intelligent transportation systems. The framework
of conducting big data analytics in ITS is discussed next, where
the data source and collection methods, data analytics methods
and platforms, and big data analytics application categories
are summarized. Several case studies of big data analytics
applications in intelligent transportation systems, including road
traffic accidents analysis, road traffic flow prediction, public
transportation service plan, personal travel route plan, rail
transportation management and control, and assets maintenance
are introduced. Finally, this paper discusses some open challenges
of using big data analytics in ITS.
Index Terms: Big data analytics, intelligent transportation systems (ITS), machine learning, transportation
قیمت: رایگان
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