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Short-term traffic forecasting: Where we are and where we’re going
16 references·16 citing·36 second hopsampled
Short-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecasting: Where we …Statistical and Econometric Methods for Transportation Data Analysis (2020)Statistical and Econometric M…The retrieval of intra-day trend and its influence on traffic prediction (2012)The retrieval of intra-day tr…Prediction Intervals to Account for Uncertainties in Travel Time Prediction (2011)Prediction Intervals to Accou…Statistical methods versus neural networks in transportation research: Differences, similarities and some insights (2010)Statistical methods versus ne…Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (2009)Evaluation of traffic data ob…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Online Learning Solutions for Freeway Travel Time Prediction (2008)Online Learning Solutions for…Forecasting of Short-Term Freeway Volume with v-Support Vector Machines (2007)Forecasting of Short-Term Fre…Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow (2007)Adaptive Seasonal Time Series…POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction (2006)POP-TRAFFIC: A Novel Fuzzy Ne…Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis (2004)Wavelet Packet‐Autocorrelatio…Travel-Time Prediction With Support Vector Regression (2004)Travel-Time Prediction With S…Statistical and Econometric Methods for Transportation Data Analysis (2003)Statistical and Econometric M…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…Combining forecasts: A review and annotated bibliography (1990)Combining forecasts: A review…Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review…Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Deep Learning on Traffic Pred…Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values (2020)Stacked bidirectional and uni…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data (2020)A graph CNN-LSTM neural netwo…Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Traffic Graph Convolutional R…Applications of Artificial Intelligence in Transport: An Overview (2019)Applications of Artificial In…Road Traffic Forecasting: Recent Advances and New Challenges (2018)Road Traffic Forecasting: Rec…Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction (2018)Deep Bidirectional and Unidir…A hybrid deep learning based traffic flow prediction method and its understanding (2018)A hybrid deep learning based …Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Short-term forecasting of pas…LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)Deep Learning: A Generic Appr…Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting (2015)A spatiotemporal correlative …A gradient boosting method to improve travel time prediction (2015)A gradient boosting method to…ACCURACY OF SPEED MEASUREMENTS FROM CELLULAR PHONE VEHICLE LOCATION SYSTEMS (2001)Mobile Phones as Traffic Probes: Practices, Prospects and Issues (2006)State of the Art and Practice: Cellular Probe Technology Applied in Advanced Traveler Information Systems (2007)Driving with knowledge from the physical world (2011)Urban Computing (2014)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Accuracy of Forecasting: An Empirical Investigation (1979)Group versus individual performance: Are N + 1 heads better than one? (1982)Combining Probability Distributions: A Critique and an Annotated Bibliography (1986)Comparing Predictive Accuracy (1995)Principles of Forecasting (2001)Time series forecasting using a hybrid ARIMA and neural network model (2003)Dynamic prediction of traffic volume through Kalman filtering theory (1984)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)Using LSTM and GRU neural network methods for traffic flow prediction (2016)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Support Vector Machine Regression for Volatile Stock Market Prediction (2002)Travel time data collection handbook (2010)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)Graph neural network for traffic forecasting: A survey (2022)The Combination of Forecasts (1969)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Analysts' forecasts as earnings expectations (1988)Comparing Predictive Accuracy (1994)The M3-Competition: results, conclusions and implications (2000)Obesity relationships with community design, physical activity, and time spent in cars (2004)Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Service Quality Attributes Affecting Customer Satisfaction for Bus Transit (2007)The role of social capital, personal networks, and emergency responders in post-disaster recovery and resilience: a study of rural communities in Indiana (2017)Combining weather condition data to predict traffic flow: a GRU‐based deep learning approach (2018)
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References

  • 1989Combining forecasts: A review and annotated bibliography2,170 cited
  • 2003Statistical and Econometric Methods for Transportation Data Analysis1,920 cited
  • 1990Combining forecasts: A review and annotated bibliography1,508 cited
  • 2004Travel-Time Prediction With Support Vector Regression1,480 cited
  • 2020Statistical and Econometric Methods for Transportation Data Analysis997 cited
  • 2009Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment941 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 2010Statistical methods versus neural networks in transportation research: Differences, similarities and some insights845 cited
  • 2007Adaptive Seasonal Time Series Models for Forecasting Short-Term Traffic Flow209 cited
  • 2004Wavelet Packet‐Autocorrelation Function Method for Traffic Flow Pattern Analysis206 cited
  • 2008Online Learning Solutions for Freeway Travel Time Prediction201 cited
  • 2006POP-TRAFFIC: A Novel Fuzzy Neural Approach to Road Traffic Analysis and Prediction199 cited
  • 2011Prediction Intervals to Account for Uncertainties in Travel Time Prediction186 cited

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  • 2012The retrieval of intra-day trend and its influence on traffic prediction185 cited
  • 2007Forecasting of Short-Term Freeway Volume with v-Support Vector Machines180 cited
  • Cited by

    • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
    • 2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 cited
    • 2017Deep learning for short-term traffic flow prediction1,060 cited
    • 2019Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting1,020 cited
    • 2019Applications of Artificial Intelligence in Transport: An Overview894 cited
    • 2015A gradient boosting method to improve travel time prediction874 cited
    • 2018A hybrid deep learning based traffic flow prediction method and its understanding806 cited
    • 2017Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach748 cited
    • 2022Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions690 cited
    • 2018Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction583 cited
    • 2020Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values512 cited
    • 2015A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting471 cited
    • 2017Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting427 cited
    • 2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges424 cited
    • 2020A graph CNN-LSTM neural network for short and long-term traffic forecasting based on trajectory data389 cited
    • 2018Road Traffic Forecasting: Recent Advances and New Challenges387 cited