Estimating Hourly Traffic Volumes using Artificial Neural Network with Additional Inputs from Automatic Traffic Recorders

A hybrid deep learning based traffic flow prediction method and its understanding

(2018) Yuankai Wu et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Estimating historical hourly traffic volumes via machine learning and vehicle probe data: A Maryland case study

(2018) Przemysław Sekuła et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Development of Statewide Annual Average Daily Traffic Estimation Model from Short-Term Counts: A Comparative Study for South Carolina

(2018) Sakib Mahmud Khan et al.   TRANSPORTATION RESEARCH RECORD

Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks

(2017) Haiyang Yu et al.   SENSORS

Comparison of Clustering Methods for Road Group Identification in FHWA Traffic Monitoring Approach: Effects on AADT Estimates

(2014) Riccardo Rossi et al.   JOURNAL OF TRANSPORTATION ENGINEERING

Forecasting Network Data

(2009) Xiaokun Wang et al.   TRANSPORTATION RESEARCH RECORD

AADT prediction using support vector regression with data-dependent parameters

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

OpenStreetMap: User-Generated Street Maps

(2008) M. Haklay et al.   IEEE PERVASIVE COMPUTING