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A comparison of the performance of artificial. neural networks and support vector machines for the prediction of traffic speed
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A comparison of the performance of artificial. neural networks and support vector machines for the prediction of traffic speed (2004)A comparison of the performance of artifi…Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer (2021)Learning Dynamic and Hierarch…Machine Learning-based traffic prediction models for Intelligent Transportation Systems (2020)Machine Learning-based traffi…Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis (2020)Big data algorithms and appli…Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction (2014)Spatiotemporal Patterns in La…Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory (2012)Short-term traffic speed fore…Travel time prediction under heterogeneous traffic conditions using global positioning system data from buses (2009)Travel time prediction under …Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Travel-Time Prediction With Support Vector Regression (2004)A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction (2018)Deep Sequence Learning with Auxiliary Information for Traffic Prediction (2018)Traffic flow prediction based on combination of support vector machine and data denoising schemes (2019)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Short‐term traffic forecasting: Overview of objectives and methods (2004)A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model (2013)Short-term traffic flow rate forecasting based on identifying similar traffic patterns (2015)Urban traffic congestion estimation and prediction based on floating car trajectory data (2015)Day-to-Day Travel-Time Trends and Travel-Time Prediction from Loop-Detector Data (2000)Dynamic Freeway Travel-Time Prediction with Probe Vehicle Data: Link Based Versus Path Based (2001)A review of travel time estimation and forecasting for Advanced Traveller Information Systems (2014)Sustainable Mobility: A Review of Possible Actions and Policies (2020)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Using LSTM and GRU neural network methods for traffic flow prediction (2016)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Big data and predictive analytics: A systematic review of applications (2024)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Urban traffic flow prediction techniques: A review (2022)Graph Neural Network for Traffic Forecasting: The Research Progress (2023)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction (2023)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization (2024)Short-term traffic forecasting: Where we are and where we’re going (2014)Urban Computing (2014)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)
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Cited by

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  • 2021Learning Dynamic and Hierarchical Traffic Spatiotemporal Features With Transformer302 cited
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  • 2009Travel time prediction under heterogeneous traffic conditions using global positioning system data from buses180 cited

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