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Different methods of traffic forecast based on real data
4 references·6 citing·36 second hop
Different methods of traffic forecast based on real data (2003)Different methods of traffic forecast bas…An object-oriented neural network approach to short-term traffic forecasting (2001)An object-oriented neural net…Traffic and Granular Flow ’99 (2000)Traffic and Granular Flow ’99Erhebungs- und Hochrechnungsverfahren des Kfz-Verkehrs fuer kommunale Planungsaufgaben (1999)Erhebungs- und Hochrechnungsv…Applied Forecasting Methods (1981)Applied Forecasting MethodsTraffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…Road Traffic Forecasting: Recent Advances and New Challenges (2018)Road Traffic Forecasting: Rec…Trend Modeling for Traffic Time Series Analysis: An Integrated Study (2015)Trend Modeling for Traffic Ti…Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…The retrieval of intra-day trend and its influence on traffic prediction (2012)The retrieval of intra-day tr…Short-time traffic flow prediction with ARIMA-GARCH model (2011)Short-time traffic flow predi…Dynamic prediction of traffic volume through Kalman filtering theory (1984)A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)Travel time prediction with LSTM neural network (2016)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Statistical and Econometric Methods for Transportation Data Analysis (2003)Deep learning for short-term traffic flow prediction (2017)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Introduction to Time Series and Forecasting (2002)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Using LSTM and GRU neural network methods for traffic flow prediction (2016)ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Big Sensor Data Applications in Urban Environments (2016)Forecasting Traffic Congestion Using ARIMA Modeling (2019)Short-term prediction of lane-level traffic speeds: A fusion deep learning model (2019)Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis (2004)Missing traffic data: comparison of imputation methods (2013)Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning (2019)A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Online Incremental Machine Learning Platform for Big Data-Driven Smart Traffic Management (2019)Graph Neural Networks for Intelligent Transportation Systems: A Survey (2023)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction (2023)The smart future for sustainable development: Artificial intelligence solutions for sustainable urbanization (2024)Factors affecting the nature and effectiveness of subjective revision in sales forecasting: An empirical study (1989)On exponential smoothing and the assumption of deterministic trend plus white noise data-generating models (1989)Valuing Target Price Support Programs with Average Option Pricing (1995)Simulation of pedestrian dynamics using a two-dimensional cellular automaton (2001)An agent-based approach to modelling driver route choice behaviour under the influence of real-time information (2002)Simulation of bi-direction pedestrian movement using a cellular automata model (2003)Erhebungen zur Verkehrsnachfrage (2005)
this work references cited by second hop

References

  • 2001An object-oriented neural network approach to short-term traffic forecasting409 cited
  • 2000Traffic and Granular Flow ’99320 cited
  • 1981Applied Forecasting Methods60 cited
  • 1999Erhebungs- und Hochrechnungsverfahren des Kfz-Verkehrs fuer kommunale Planungsaufgaben4 cited

Cited by

  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2018Road Traffic Forecasting: Recent Advances and New Challenges387 cited
  • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
  • 2011Short-time traffic flow prediction with ARIMA-GARCH model214 cited
  • 2012The retrieval of intra-day trend and its influence on traffic prediction185 cited
  • 2015Trend Modeling for Traffic Time Series Analysis: An Integrated Study165 cited

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