Multistep traffic forecasting by dynamic graph convolution: Interpretations of real-time spatial correlations

Forecasting road traffic speeds by considering area-wide spatio-temporal dependencies based on a graph convolutional neural network (GCN)

(2020) Byeonghyeop Yu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Multistep speed prediction on traffic networks: A deep learning approach considering spatio-temporal dependencies

(2019) Zhengchao Zhang et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

An effective spatial-temporal attention based neural network for traffic flow prediction

(2019) Loan N.N. Do et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters

(2018) Xu Xie et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Road Traffic Forecasting: Recent Advances and New Challenges

(2018) Ibai Lana et al.   IEEE Intelligent Transportation Systems Magazine

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

Real-time traffic state estimation in urban corridors from heterogeneous data

(2016) Alfredo Nantes et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-term speed predictions exploiting big data on large urban road networks

(2016) Gaetano Fusco et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Traffic dynamics: Its impact on the Macroscopic Fundamental Diagram

(2015) Victor L. Knoop et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

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

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

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

Assessing partial observability in network sensor location problems

(2014) Francesco Viti et al.   TRANSPORTATION RESEARCH PART B-METHODOLOGICAL

Urban traffic state estimation: Fusing point and zone based data

(2014) Ashish Bhaskar et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Systematic Framework for Assessing Traffic Measures and Policies on Reliability of Traffic Operations and Travel Time

(2013) Hans van Lint et al.   TRANSPORTATION RESEARCH RECORD

Observability in traffic networks. Plate scanning added by counting information

(2012) Enrique Castillo et al.   TRANSPORTATION

Localized Extended Kalman Filter for Scalable Real-Time Traffic State Estimation

(2011) Chris P. I. J. van Hinsbergen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Real-time road traffic prediction with spatio-temporal correlations

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

A Robust and Efficient Method for Fusing Heterogeneous Data from Traffic Sensors on Freeways

(2009) J.W.C. Van Lint et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

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

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