Related references
Note: Only part of the references are listed.Traffic demand estimation for lane groups at signal-controlled intersections using travel times from video-imaging detectors
Dongfang Ma et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2017)
Deep learning for short-term traffic flow prediction
Nicholas G. Polson et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Lane-Based Saturation Degree Estimation at Signalized Intersections Using Travel Time Data
Dongfang Ma et al.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE (2017)
A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting
Pinlong Cai et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
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)
Spatiotemporal Patterns in Large-Scale Traffic Speed Prediction
Muhammad Tayyab Asif et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2014)
Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction
Xiao Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Short-term traffic forecasting: Where we are and where we're going
Eleni I. Vlahogianni et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Short-Term Traffic State Prediction Based on Temporal-Spatial Correlation
T. L. Pan et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)
Efficient missing data imputing for traffic flow by considering temporal and spatial dependence
Li Li et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)
Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm
Javad Abdi et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2012)
Traffic forecasting using least squares support vector machines
Yang Zhang et al.
Transportmetrica (2009)
Online learning solutions for freeway travel time prediction
J. W. C. van Lint
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2008)
RENAISSANCE - A unified macroscopic model-based approach to real-time freeway network traffic surveillance
Yibing Wang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2006)
A Bayesian network approach to traffic flow forecasting
SL Sun et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2006)