Forecasting Traffic Congestion Using ARIMA Modeling

Author:

Alghamdi Taghreed,Elgazzar Khalid,Bayoumi Magdi,Sharaf Taysseer,Shah Sumit

Publisher

IEEE

Cited by 55 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Urban Traffic Congestion Level Prediction Using a Fusion-Based Graph Convolutional Network;IEEE Transactions on Intelligent Transportation Systems;2023-12

2. Research on ARIMA Model for Short-Term Traffic Flow Prediction based on Time Series;2023 8th International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS);2023-11-23

3. Periodic Shift and Event-aware Spatio-Temporal Graph Convolutional Network for Traffic Congestion Prediction;Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems;2023-11-13

4. A DeepAR-Based Neural Network for Time Series Forecasting;2023 5th International Conference on Data-driven Optimization of Complex Systems (DOCS);2023-09-22

5. Forecasting Indonesian Crude Oil Price Using Autoregressive Integrated Moving Average Method;2023 9th International Conference on Computer and Communication Engineering (ICCCE);2023-08-15

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