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2023 | OriginalPaper | Chapter

Traffic Congestion Identification and Prediction of Algorithm Collusion Translation Nested Grid Model in the Era of Big Data

Author : Qiu Ran

Published in: Frontier Computing

Publisher: Springer Nature Singapore

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Abstract

This is a research on traffic congestion identification and algorithm collusion prediction in the era of big data. We propose a new traffic congestion prediction model, which considers big data and predicts future traffic congestion by considering the past history and current situation, so as to reduce or eliminate the impact of collusion between algorithms. The model can be used in real-time systems, such as intelligent transportation system, intelligent transportation system and so on.

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Metadata
Title
Traffic Congestion Identification and Prediction of Algorithm Collusion Translation Nested Grid Model in the Era of Big Data
Author
Qiu Ran
Copyright Year
2023
Publisher
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-1428-9_255