4.7 Article

TrafficGAN: Network-Scale Deep Traffic Prediction With Generative Adversarial Nets

Related references

Note: Only part of the references are listed.
Article Engineering, Civil

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

Ling Zhao et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2020)

Article Engineering, Civil

Efficient Traffic Estimation With Multi-Sourced Data by Parallel Coupled Hidden Markov Model

Senzhang Wang et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Deformable Convolutional Networks

Jifeng Dai et al.

2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Christian Ledig et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Transportation Science & Technology

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

Xiaolei Ma et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)

Article Engineering, Civil

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

Marco Lippi et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)

Article Engineering, Civil

A Bayesian network approach to traffic flow forecasting

SL Sun et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2006)

Article Engineering, Civil

Short-term freeway traffic flow prediction: Bayesian combined neural network approach

WZ Zheng et al.

JOURNAL OF TRANSPORTATION ENGINEERING (2006)

Article Economics

Real-time freeway traffic state estimation based on extended Kalman filter: a general approach

YB Wang et al.

TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2005)

Article Engineering, Civil

Modeling and forecasting vehicular traffic flow as a seasonal ARIMA process: Theoretical basis and empirical results

BM Williams et al.

JOURNAL OF TRANSPORTATION ENGINEERING (2003)

Article Transportation Science & Technology

Comparison of parametric and nonparametric models for traffic flow forecasting

BL Smith et al.

TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2002)

Article Management

An object-oriented neural network approach to short-term traffic forecasting

H Dia

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2001)