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Short‐term traffic forecasting: Overview of objectives and methods
16 references·16 citing·32 second hopsampled
Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecasting: Overview …Transportation Research Board (2014)Transportation Research BoardTravel time data collection handbook (2010)Travel time data collection h…Statistical and Econometric Methods for Transportation Data Analysis (2003)Statistical and Econometric M…Performance Evaluation of Short-Term Time-Series Traffic Prediction Model (2002)Performance Evaluation of Sho…Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Comparison of parametric and …Use of sequential learning for short-term traffic flow forecasting (2001)Use of sequential learning fo…A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting (2001)A Study of Hybrid Neural Netw…Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network (1998)Short-Term Freeway Traffic Vo…Forecasting with artificial neural networks: (1998)Forecasting with artificial n…Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Traffic Flow Forecasting: Com…Developing a Travel Time Congestion Index (1996)Developing a Travel Time Cong…Combining kohonen maps with arima time series models to forecast traffic flow (1996)Combining kohonen maps with a…INTEGRATED APPROACH TO VEHICLE ROUTING AND CONGESTION PREDICTION FOR REAL-TIME DRIVER GUIDANCE (1993)INTEGRATED APPROACH TO VEHICL…Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…Transportation research (1975)Transportation researchTraffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Traffic prediction using arti…A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)A Survey on Modern Deep Neura…Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies (2019)Multistep speed prediction on…Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges (2019)Deep learning models for traf…Survey on traffic prediction in smart cities (2018)Survey on traffic prediction …Road Traffic Forecasting: Recent Advances and New Challenges (2018)Road Traffic Forecasting: Rec…Deep Learning: A Generic Approach for Extreme Condition Traffic Forecasting (2017)Deep Learning: A Generic Appr…An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic (2017)An Improved Fuzzy Neural Netw…Short-term traffic flow rate forecasting based on identifying similar traffic patterns (2015)Short-term traffic flow rate …A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system (2015)A novel wavelet-SVM short-tim…Short Term Traffic Flow Prediction for a Non Urban Highway Using Artificial Neural Network (2013)Short Term Traffic Flow Predi…Efficient missing data imputing for traffic flow by considering temporal and spatial dependence (2013)Efficient missing data imputi…Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory (2012)Short-term traffic speed fore…Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks (2011)Forecasting the short-term me…Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models (2009)Predictions of Freeway Traffi…Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition (2007)Short‐Term Traffic Volume For…Book Review: Time Series Analysis: Forecasting and Control (1977)Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation (1982)The accuracy of extrapolation (time series) methods: Results of a forecasting competition (1982)Financial time series forecasting using support vector machines (2003)DeepAR: Probabilistic forecasting with autoregressive recurrent networks (2019)Location and Land Use: Toward a General Theory of Land Rent (1964)Measuring Urban Form: Is Portland Winning the War on Sprawl? (2004)Lively Streets (2007)Should Urban Transit Subsidies Be Reduced? (2009)Time Series Analysis: Forecasting and Control (1977)Time series forecasting using a hybrid ARIMA and neural network model (2003)A modeling framework for the dynamic management of free-floating bike-sharing systems (2018)DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)Introduction to Time Series and Forecasting (2002)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)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)Application of Subset Autoregressive Integrated Moving Average Model for Short-Term Freeway Traffic Volume Forecasting (1999)Obesity relationships with community design, physical activity, and time spent in cars (2004)Service Quality Attributes Affecting Customer Satisfaction for Bus Transit (2007)Short-term traffic forecasting: Where we are and where we’re going (2014)A Bayesian Network Approach to Traffic Flow Forecasting (2006)Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)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)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)LSTM network: a deep learning approach for short‐term traffic forecast (2017)Walkable streets: pedestrian behavior, perceptions and attitudes (2008)A GPS-based bicycle route choice model for San Francisco, California (2011)Psychosocial factors associated with intended use of automated vehicles: A simulated driving study (2018)
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References

  • 1998Forecasting with artificial neural networks:4,282 cited
  • 2003Statistical and Econometric Methods for Transportation Data Analysis1,920 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 1975Transportation research1,027 cited
  • 2002Comparison of parametric and nonparametric models for traffic flow forecasting1,016 cited
  • 1996Combining kohonen maps with arima time series models to forecast traffic flow851 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2014Transportation Research Board727 cited
  • 1997Traffic Flow Forecasting: Comparison of Modeling Approaches686 cited
  • 2010Travel time data collection handbook274 cited
  • 2001Use of sequential learning for short-term traffic flow forecasting200 cited
  • 2002Performance Evaluation of Short-Term Time-Series Traffic Prediction Model183 cited
  • 1998Short-Term Freeway Traffic Volume Forecasting Using Radial Basis Function Neural Network175 cited
  • 2001A Study of Hybrid Neural Network Approaches and the Effects of Missing Data on Traffic Forecasting149 cited
  • 1993INTEGRATED APPROACH TO VEHICLE ROUTING AND CONGESTION PREDICTION FOR REAL-TIME DRIVER GUIDANCE

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106 cited
  • 1996Developing a Travel Time Congestion Index54 cited
  • Cited by

    • 2011Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks475 cited
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    • 2020A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges424 cited
    • 2018Road Traffic Forecasting: Recent Advances and New Challenges387 cited
    • 2015A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system384 cited
    • 2017An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic369 cited
    • 2009Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models363 cited
    • 2018Survey on traffic prediction in smart cities331 cited
    • 2007Short‐Term Traffic Volume Forecasting Using Kalman Filter with Discrete Wavelet Decomposition324 cited
    • 2019Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges306 cited
    • 2022Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities305 cited
    • 2013Efficient missing data imputing for traffic flow by considering temporal and spatial dependence304 cited
    • 2019Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies297 cited
    • 2015Short-term traffic flow rate forecasting based on identifying similar traffic patterns294 cited
    • 2013Short Term Traffic Flow Prediction for a Non Urban Highway Using Artificial Neural Network293 cited
    • 2012Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory290 cited