Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning

A method of speed data fusion based on Bayesian combination algorithm and high-order multi-variable Markov model

(2018) Weibin Zhang et al.   IET Intelligent Transport Systems

An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic

(2017) Jinjun Tang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

(2017) Xiaolei Ma et al.   SENSORS

Deep learning for short-term traffic flow prediction

(2017) Nicholas G. Polson et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Vehicle traffic delay prediction in ferry terminal based on Bayesian multiple models combination method

(2017) Weibin Zhang et al.   Transportmetrica A-Transport Science

Improving Traffic Flow Prediction With Weather Information in Connected Cars: A Deep Learning Approach

(2016) Arief Koesdwiady et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Short-term prediction of vehicle waiting queue at ferry terminal based on machine learning method

(2016) Weibin Zhang et al.   JOURNAL OF MARINE SCIENCE AND TECHNOLOGY

k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition

(2016) Bin Yu et al.   JOURNAL OF TRANSPORTATION ENGINEERING

Short-term traffic flow rate forecasting based on identifying similar traffic patterns

(2016) Filmon G. Habtemichael et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

k-Nearest Neighbor Model for Multiple-Time-Step Prediction of Short-Term Traffic Condition

(2016) Bin Yu et al.   JOURNAL OF TRANSPORTATION ENGINEERING

Trend Modeling for Traffic Time Series Analysis: An Integrated Study

(2015) Li Li et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Urban Traffic Flow Prediction Using a Spatio-Temporal Random Effects Model

(2015) Yao-Jan Wu et al.   Journal of Intelligent Transportation Systems

Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

(2015) Xiaolei Ma et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term traffic flow prediction using seasonal ARIMA model with limited input data

(2015) S. Vasantha Kumar et al.   European Transport Research Review

Short-term traffic flow prediction using seasonal ARIMA model with limited input data

(2015) S. Vasantha Kumar et al.   European Transport Research Review

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

(2014) Wenhao Huang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification

(2014) Jianhua Guo et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model

(2013) Yanru Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm

(2011) Wei-Chiang Hong   NEUROCOMPUTING

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms

(2011) Joaquín Derrac et al.   Swarm and Evolutionary Computation

Statistical methods versus neural networks in transportation research: Differences, similarities and some insights

(2010) M.G. Karlaftis et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Real-time road traffic prediction with spatio-temporal correlations

(2010) Wanli Min et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis

(2009) B. Ghosh et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions

(2008) Manoel Castro-Neto et al.   EXPERT SYSTEMS WITH APPLICATIONS