Deep Wide Spatial-Temporal Based Transformer Networks Modeling for the Next Destination According to the Taxi Driver Behavior Prediction

Two-Stream Multi-Channel Convolutional Neural Network for Multi-Lane Traffic Speed Prediction Considering Traffic Volume Impact

(2020) Ruimin Ke et al.   TRANSPORTATION RESEARCH RECORD

Network‐wide traffic speed forecasting: 3D convolutional neural network with ensemble empirical mode decomposition

(2020) Shuaichao Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A hybrid deep learning CNN–ELM for age and gender classification

(2018) Mingxing Duan et al.   NEUROCOMPUTING

Improved Deep Hybrid Networks for Urban Traffic Flow Prediction Using Trajectory Data

(2018) Zongtao Duan et al.   IEEE Access

LSTM-based traffic flow prediction with missing data

(2018) Yan Tian et al.   NEUROCOMPUTING

Survey on traffic prediction in smart cities

(2018) Attila M. Nagy et al.   Pervasive and Mobile Computing

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

(2017) Jun Xu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Destination Prediction by Trajectory Distribution-Based Model

(2017) Philippe C. Besse 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

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

(2017) Haiyang Yu et al.   SENSORS

Analyzing year-to-year changes in public transport passenger behaviour using smart card data

(2017) Anne-Sarah Briand et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

(2017) Jintao Ke et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Three Revised Kalman Filtering Models for Short-Term Rail Transit Passenger Flow Prediction

(2016) Pengpeng Jiao et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory

(2015) Xiaolei Ma et al.   PLoS One

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

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

Traffic Flow Prediction With Big Data: A Deep Learning Approach

(2014) Yisheng Lv 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

Short-term traffic forecasting: Where we are and where we’re going

(2014) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Predicting Taxi–Passenger Demand Using Streaming Data

(2013) Luis Moreira-Matias et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

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