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Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity
5 references·0 citing·22 second hop
Short-term traffic forecasting: An adaptive ST-KNN model that considers spatial heterogeneity (2018)Short-term traffic forecasting: An adapti…A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting (2015)A distributed spatial–tempora…Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm (2014)Short-term traffic volume for…A Dynamic Spatial Weight Matrix and Localized Space–Time Autoregressive Integrated Moving Average for Network Modeling (2014)A Dynamic Spatial Weight Matr…Spatio-temporal autocorrelation of road network data (2011)Spatio-temporal autocorrelati…Findings from evidence-based forecasting: Methods for reducing forecast error (2006)Findings from evidence-based …A nearest neighbor model for forecasting market response (1994)Forecasting with artificial neural networks: (1998)A Short-term Traffic Flow Forecasting Method Based on the Hybrid PSO-SVR (2015)Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast (2020)Time Series Analysis Forecasting and Control. (1971)Book Review: Time Series Analysis: Forecasting and Control (1977)Local Indicators of Spatial Association—LISA (1995)DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting (2021)Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach (2021)Exponential smoothing: The state of the art (1985)The M3-Competition: results, conclusions and implications (2000)Principles of Forecasting (2001)An overview of health forecasting (2012)Golden rule of forecasting: Be conservative (2015)Judgmental selection of forecasting models (2018)Industrial and business forecasting methods (1982)Understanding Big Data: Analytics for Enterprise Class Hadoop and Streaming Data (2011)The big challenges of big data (2013)Geospatial data to images: A deep-learning framework for traffic forecasting (2018)An Improved Bayesian Combination Model for Short-Term Traffic Prediction With Deep Learning (2019)Value-at-Risk forecasts by a spatiotemporal model in Chinese stock market (2015)Does technical assistance alleviate energy poverty in sub-Saharan African countries? A new perspective on spatial spillover effects of technical assistance (2022)
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References

  • 2006Findings from evidence-based forecasting: Methods for reducing forecast error199 cited
  • 2014Short-term traffic volume forecasting: A k-nearest neighbor approach enhanced by constrained linearly sewing principle component algorithm189 cited
  • 2015A distributed spatial–temporal weighted model on MapReduce for short-term traffic flow forecasting184 cited
  • 2011Spatio-temporal autocorrelation of road network data169 cited
  • 2014A Dynamic Spatial Weight Matrix and Localized Space–Time Autoregressive Integrated Moving Average for Network Modeling84 cited

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