SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction
16 references·1 citing·46 second hopsampled
PCNN: Deep Convolutional Networks for Short-Term Traffic Congestion Prediction (2018)PCNN: Deep Convolutional Networks for Sho…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition (2016)k-Nearest Neighbor Model for …Citywide Traffic Volume Estimation Using Trajectory Data (2016)Citywide Traffic Volume Estim…Traffic prediction in a bike-sharing system (2015)Traffic prediction in a bike-…Short-term traffic flow rate forecasting based on identifying similar traffic patterns (2015)Short-term traffic flow rate …Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network (2015)Predicting Short-Term Traffic…A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting (2015)A distributed spatial–tempora…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data (2014)Traffic Flow Prediction for R…Experienced travel time prediction for congested freeways (2013)Experienced travel time predi…Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory (2012)Short-term traffic speed fore…Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches (2003)Forecasting Traffic Flow Cond…Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms (2002)Short-Term Traffic Flow Predi…Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models (1998)Urban Freeway Traffic Flow Pr…Short-term inter-urban traffic forecasts using neural networks (1997)Short-term inter-urban traffi…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN (2020)City-Wide Traffic Congestion …Dynamic prediction of traffic volume through Kalman filtering theory (1984)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Short-term traffic forecasting: Where we are and where we’re going (2014)Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies (2019)Long-Term Traffic Prediction Based on LSTM Encoder-Decoder Architecture (2020)Sensing Data Supported Traffic Flow Prediction via Denoising Schemes and ANN: A Comparison (2020)Fitting autoregressive models for prediction (1969)Modelling Transport (2011)Survey on traffic prediction in smart cities (2018)Deep Irregular Convolutional Residual LSTM for Urban Traffic Passenger Flows Prediction (2019)Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning (2019)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Introduction to Time Series and Forecasting (1996)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Introduction to Time Series and Forecasting (2002)Short-Term Freeway Traffic Flow Prediction: Bayesian Combined Neural Network Approach (2006)Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Investigating Causal Relations by Econometric Models and Cross-spectral Methods (1969)Investigating Causal Relations by Econometric Models and Cross-Spectral Methods (2008)Road Traffic Forecasting: Recent Advances and New Challenges (2018)A Survey on Deep Learning for Human Mobility (2021)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Short‐term traffic forecasting: Overview of objectives and methods (2004)Travel-Time Prediction With Support Vector Regression (2004)A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model (2013)Urban traffic congestion estimation and prediction based on floating car trajectory data (2015)Bike-sharing: History, Impacts, Models of Provision, and Future (2009)Bikesharing in Europe, the Americas, and Asia (2010)Driving with knowledge from the physical world (2011)DNN-based prediction model for spatio-temporal data (2016)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method (2021)Exponential Smoothing with an Adaptive Response Rate (1967)The Development of a Self-Adaptive Forecasting Technique (1969)Applied Time Series Analysis for Managerial Forecasting. (1974)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2015Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network540 cited
  • 1998Urban Freeway Traffic Flow Prediction: Application of Seasonal Autoregressive Integrated Moving Average and Exponential Smoothing Models524 cited
  • 2003Forecasting Traffic Flow Conditions in an Urban Network: Comparison of Multivariate and Univariate Approaches391 cited
  • 2015Traffic prediction in a bike-sharing system366 cited
  • 2014Traffic Flow Prediction for Road Transportation Networks With Limited Traffic Data346 cited
  • 2015Short-term traffic flow rate forecasting based on identifying similar traffic patterns294 cited
  • 2012Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory290 cited
  • 1997Short-term inter-urban traffic forecasts using neural networks286 cited
  • 2016k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition242 cited
  • 2015A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting188 cited
  • 2016

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

Citywide Traffic Volume Estimation Using Trajectory Data
164 cited
  • 2002Short-Term Traffic Flow Prediction Using Neuro-Genetic Algorithms153 cited
  • 2013Experienced travel time prediction for congested freeways152 cited
  • Cited by

    • 2020City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN183 cited