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Keyword

traffic prediction

Description: The forecasting of traffic conditions or volumes using transportation data, with applications in intelligent transport systems and urban planning.
Wikidata ID: wiki/Q1787945
OpenAlex ID: keywords/traffic-forecasting
Understanding individual human mobility patterns
2008 · Marta C. González, César A. Hidalgo, et al. · Nature · 6,066
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Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
2018 · Bing Yu, Haoteng Yin, et al. · International Joint Conference on Artificial Intelligence · 5,179
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T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
2019 · Ling Zhao, Yujiao Song, et al. · IEEE Transactions on Intelligent Transportation Systems · 3,336
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Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
2019 · Shengnan Guo, Youfang Lin, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 3,100
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Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
2017 · Li, Yaguang, Yu, Rose, et al. · arXiv (Cornell University) · 2,596
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Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results
2003 · Billy M. Williams, Lester A. Hoel · Journal of Transportation Engineering · 2,167
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
2020 · Zonghan Wu, Shirui Pan, et al. · ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) · 2,137
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Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
2021 · Wu, Haixu, Xu, Jiehui, et al. · arXiv (Cornell University) · 1,990
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GMAN: A Graph Multi-Attention Network for Traffic Prediction
2020 · Chuanpan Zheng, Xiaoliang Fan, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,807
Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting
2020 · Chao Song, Youfang Lin, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,663
Graph neural network for traffic forecasting: A survey
2022 · Weiwei Jiang, Jiayun Luo · Expert Systems with Applications · 1,329
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Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction
2018 · Huaxiu Yao, Fei Wu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 1,217
Human mobility: Models and applications
2018 · Hugo Barbosa, Marc Barthelemy, et al. · Physics Reports · 1,031
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A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
2018 · Raouf Boutaba, Mohammad A. Salahuddin, et al. · Journal of Internet Services and Applications · 1,029
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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting
2020 · Bai, Lei, Yao, Lina, et al. · arXiv (Cornell University) · 1,013
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Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting
2019 · Zhiyong Cui, Kristian Henrickson, et al. · IEEE Transactions on Intelligent Transportation Systems · 983
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Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
2019 · Huaxiu Yao, Xianfeng Tang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 845
A gradient boosting method to improve travel time prediction
2015 · Yanru Zhang, Ali Haghani · Transportation Research Part C Emerging Technologies · 835
Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting
2021 · Shengnan Guo, Youfang Lin, et al. · IEEE Transactions on Knowledge and Data Engineering · 765
Optimizing OSPF/IS-IS weights in a changing world
2002 · B. Fortz, M. Thorup · IEEE Journal on Selected Areas in Communications · 660
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Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
2017 · Haiyang Yu, Zhihai Wu, et al. · Sensors · 619
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Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions
2022 · Xueyan Yin, Genze Wu, et al. · IEEE Transactions on Intelligent Transportation Systems · 594
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Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
2022 · Fuxian Li, Jie Feng, et al. · ACM Transactions on Knowledge Discovery from Data · 562
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Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting
2019 · Shengnan Guo, Youfang Lin, et al. · IEEE Transactions on Intelligent Transportation Systems · 457
Deep Learning for Network Traffic Monitoring and Analysis (NTMA): A Survey
2021 · Mahmoud Abbasi, Amin Shahraki, et al. · Computer Communications · 442
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Works count: 9,436
Citation count: 118,400
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