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

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

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

A review of unsupervised feature learning and deep learning for time-series modeling

(2014) Martin Längkvist et al.   PATTERN RECOGNITION LETTERS

On the role of spatial dynamics and topology on network flows

(2013) Serdar Çolak et al.   NEW JOURNAL OF PHYSICS

Vulnerability Analysis and Passenger Source Prediction in Urban Rail Transit Networks

(2013) Junjie Wang et al.   PLoS One

Exploratory visualisation of congestion evolutions on urban transport networks

(2013) Tao Cheng et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Congestion analysis of traffic networks with direction-dependant heterogeneity

(2012) Jian Wang et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

On feature selection for traffic congestion prediction

(2012) Su Yang   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Understanding Road Usage Patterns in Urban Areas

(2012) Pu Wang et al.   Scientific Reports

Emergence and disappearance of traffic congestion in weight-evolving networks

(2009) Chen Liu et al.   SIMULATION MODELLING PRACTICE AND THEORY

Urban traffic congestion propagation and bottleneck identification

(2008) JianCheng Long et al.