SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis
16 references·1 citing·39 second hopsampled
Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis (2020)Big data algorithms and applications in i…Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Big Data Analytics in Intelli…LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…Using LSTM and GRU neural network methods for traffic flow prediction (2016)Using LSTM and GRU neural net…Short-term traffic flow prediction using seasonal ARIMA model with limited input data (2015)Short-term traffic flow predi…Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network (2015)Predicting Short-Term Traffic…Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory (2015)Large-Scale Transportation Ne…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning (2014)Deep Architecture for Traffic…Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning (2013)Short-Term Traffic Flow Forec…Big Data: Issues and Challenges Moving Forward (2013)Big Data: Issues and Challeng…Real-time road traffic prediction with spatio-temporal correlations (2010)Real-time road traffic predic…Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Online-SVR for short-term tra…Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach (2005)Optimized and meta-optimized …A multivariate state space approach for urban traffic flow modeling and prediction (2003)A multivariate state space ap…ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)ANALYSIS OF FREEWAY TRAFFIC T…The Structure of Scientific Literatures I: Identifying and Graphing Specialties (1974)The Structure of Scientific L…Big data and predictive analytics: A systematic review of applications (2024)Big data and predictive analy…Forecasting with artificial neural networks: (1998)Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Travel-Time Prediction With Support Vector Regression (2004)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Dynamic prediction of traffic volume through Kalman filtering theory (1984)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)Comparison of parametric and nonparametric models for traffic flow forecasting (2002)Short-term traffic forecasting: Where we are and where we’re going (2014)Urban Computing (2014)Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Dilemmas in a general theory of planning (1973)The black swan: the impact of the highly improbable (2007)The pathologies of big data (2009)Big data: Issues, challenges, tools and Good practices (2013)Critical analysis of Big Data challenges and analytical methods (2016)Promoting novelty, rigor, and style in energy social science: Towards codes of practice for appropriate methods and research design (2018)Introduction to Time Series and Forecasting (2002)Decoupled dynamic spatial-temporal graph neural network for traffic forecasting (2022)Combining kohonen maps with arima time series models to forecast traffic flow (1996)Bayesian Time-Series Model for Short-Term Traffic Flow Forecasting (2007)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big Data: A Survey (2014)Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)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)Short‐term traffic forecasting: Overview of objectives and methods (2004)Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification (2014)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Applications of Artificial Intelligence and Machine learning in smart cities (2020)
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
  • 2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 cited
  • 2016Using LSTM and GRU neural network methods for traffic flow prediction1,593 cited
  • 2014Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning1,140 cited
  • 2018Big Data Analytics in Intelligent Transportation Systems: A Survey1,128 cited
  • 2013Big Data: Issues and Challenges Moving Forward961 cited
  • 2015Short-term traffic flow prediction using seasonal ARIMA model with limited input data863 cited
  • 2008Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions856 cited
  • 1979ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES767 cited
  • 2013Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning763 cited
  • 1974The Structure of Scientific Literatures I: Identifying and Graphing Specialties744 cited
  • 2010Real-time road traffic prediction with spatio-temporal correlations674 cited
  • 2005Optimized and meta-optimized neural networks for short-term traffic flow prediction: A genetic approach618 cited
  • 2015Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network

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

540 cited
  • 2003A multivariate state space approach for urban traffic flow modeling and prediction518 cited
  • 2015Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory508 cited
  • Cited by

    • 2024Big data and predictive analytics: A systematic review of applications158 cited