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Title	Design And Implementation Of Intelligent Transportation System Based On Big Data
ID_Doc	18591
Authors	Zhang L.
Year	2024
Published	Proceedings - 2024 International Conference on Computers, Information Processing and Advanced Education, CIPAE 2024
DOI	http://dx.doi.org/10.1109/CIPAE64326.2024.00080
Abstract	The rise of big data technology brings new development opportunities for intelligent transportation systems. This paper introduces the design and implementation of an intelligent transportation system based on big data. The system architecture consists of data layer, computing layer, service layer, and application layer. It integrates heterogeneous traffic data through data fusion module, utilizes machine learning algorithms for traffic flow analysis, road condition prediction, etc., and provides decision support services. In terms of implementation, it elaborates on development environment configuration, key algorithm implementation, and system testing. Finally, taking Beijing as an example, it demonstrates the application cases of using the system for traffic status evaluation, future road condition prediction, and traffic management decision-making. Practice proves that big data-driven intelligent transportation systems help improve urban traffic operation efficiency and are an important part of building smart cities. © 2024 IEEE.
Author Keywords	big data; data fusion; intelligent transportation system; machine learning; traffic flow analysis

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