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Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method
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Short-Term Traffic Flow Prediction for Urban Road Sections Based on Time Series Analysis and LSTM_BILSTM Method (2021)Short-Term Traffic Flow Prediction for Ur…Stochastic bus schedule coordination considering demand assignment and rerouting of passengers (2019)Stochastic bus schedule coord…Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU (2019)Short-Term Traffic Flow Predi…Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Spatio-Temporal Graph Convolu…Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method (2018)Missing Value Imputation for …Deep learning for short-term traffic flow prediction (2017)Deep learning for short-term …Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network (2015)Predicting Short-Term Traffic…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Detecting long-range correlations of traffic time series with multifractal detrended fluctuation analysis (2006)Detecting long-range correlat…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)Using LSTM and GRU neural network methods for traffic flow prediction (2016)LSTM network: a deep learning approach for short‐term traffic forecast (2017)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)THE MULTIFRACTAL FORMALISM REVISITED WITH WAVELETS (1994)Detecting long-range correlations with detrended fluctuation analysis (2001)Multifractal detrended fluctuation analysis of nonstationary time series (2002)Detrended fluctuation analysis on spot and futures markets of West Texas Intermediate crude oil (2010)Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China (2014)Complexity testing techniques for time series data: A comprehensive literature review (2015)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)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)Traffic flow prediction using LSTM with feature enhancement (2018)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)Travel-Time Prediction With Support Vector Regression (2004)A hybrid deep learning based traffic flow prediction method and its understanding (2018)Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)On the First Law of Geography: A Reply (2004)Understanding urban mobility patterns with a probabilistic tensor factorization framework (2016)A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation (2018)A variational autoencoder solution for road traffic forecasting systems: Missing data imputation, dimension reduction, model selection and anomaly detection (2020)Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit (2020)Transit Assignment for Congested Public Transport Systems: An Equilibrium Model (1993)Creating bus timetables with maximal synchronization (2001)Planning, operation, and control of bus transport systems: A literature review (2015)Transfer-based customized modular bus system design with passenger-route assignment optimization (2021)Public transport for smart cities: Recent innovations and future challenges (2022)A traffic-condition-based route guidance strategy for a single destination road network (2013)Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm (2018)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)A Flow Feedback Traffic Prediction Based on Visual Quantified Features (2023)Artificial intelligence-based traffic flow prediction: a comprehensive review (2023)
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References

  • 2018Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting6,048 cited
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2017Deep learning for short-term traffic flow prediction1,060 cited
  • 2015Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network540 cited
  • 2018Missing Value Imputation for Traffic-Related Time Series Data Based on a Multi-View Learning Method206 cited
  • 2019Short-Term Traffic Flow Prediction Method for Urban Road Sections Based on Space–Time Analysis and GRU199 cited
  • 2006Detecting long-range correlations of traffic time series with multifractal detrended fluctuation analysis186 cited
  • 2019Stochastic bus schedule coordination considering demand assignment and rerouting of passengers124 cited

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