- Home
- Publications
- Publication Search
- Publication Details
Title
Network Scale Travel Time Prediction using Deep Learning
Authors
Keywords
-
Journal
TRANSPORTATION RESEARCH RECORD
Volume -, Issue -, Pages 036119811877613
Publisher
SAGE Publications
Online
2018-06-11
DOI
10.1177/0361198118776139
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
- (2017) Xiaolei Ma et al. SENSORS
- 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
- Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory
- (2015) Xiaolei Ma et al. PLoS One
- Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning
- (2014) Wenhao Huang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Multimodel Ensemble for Freeway Traffic State Estimations
- (2014) Li Li et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Freeway Travel-Time Estimation Based on Temporal–Spatial Queueing Model
- (2013) Li Li et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Efficient missing data imputing for traffic flow by considering temporal and spatial dependence
- (2013) Li Li et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Network-Scale Traffic Modeling and Forecasting with Graphical Lasso and Neural Networks
- (2012) Shiliang Sun et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Short-term traffic speed forecasting hybrid model based on Chaos–Wavelet Analysis-Support Vector Machine theory
- (2012) Jin Wang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Traffic flow forecasting by seasonal SVR with chaotic simulated annealing algorithm
- (2011) Wei-Chiang Hong NEUROCOMPUTING
- A bayesian dynamic linear model approach for real-time short-term freeway travel time prediction
- (2011) Xiang Fei et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Forecasting the short-term metro passenger flow with empirical mode decomposition and neural networks
- (2011) Yu Wei et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Real-time road traffic prediction with spatio-temporal correlations
- (2010) Wanli Min et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Bayesian committee of neural networks to predict travel times with confidence intervals
- (2009) C.P.IJ. van Hinsbergen et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Online Learning Solutions for Freeway Travel Time Prediction
- (2008) J. W. C. van Lint IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now