Short-Term Traffic State Prediction Based on the Spatiotemporal Features of Critical Road Sections
出版年份 2018 全文链接
标题
Short-Term Traffic State Prediction Based on the Spatiotemporal Features of Critical Road Sections
作者
关键词
-
出版物
SENSORS
Volume 18, Issue 7, Pages 2287
出版商
MDPI AG
发表日期
2018-07-16
DOI
10.3390/s18072287
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition
- (2018) Xinyu Chen et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- LSTM network: a deep learning approach for short-term traffic forecast
- (2017) Zheng Zhao et al. IET Intelligent Transport Systems
- Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction
- (2017) Xiaolei Ma et al. SENSORS
- Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
- (2017) Haiyang Yu et al. SENSORS
- Short-term traffic flow rate forecasting based on identifying similar traffic patterns
- (2016) Filmon G. Habtemichael et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting
- (2016) Pinlong Cai et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A novel wavelet-SVM short-time passenger flow prediction in Beijing subway system
- (2015) Yuxing Sun et al. NEUROCOMPUTING
- 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
- Traffic Flow Prediction With Big Data: A Deep Learning Approach
- (2014) Yisheng Lv et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Short-term forecasting of high-speed rail demand: A hybrid approach combining ensemble empirical mode decomposition and gray support vector machine with real-world applications in China
- (2014) Xiushan Jiang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Adaptive Kalman filter approach for stochastic short-term traffic flow rate prediction and uncertainty quantification
- (2014) Jianhua Guo et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Short-term traffic forecasting: Where we are and where we’re going
- (2014) Eleni I. Vlahogianni et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- New Bayesian combination method for short-term traffic flow forecasting
- (2014) Jian Wang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Missing traffic data: comparison of imputation methods
- (2013) Yuebiao Li et al. IET Intelligent Transport Systems
- A tensor-based method for missing traffic data completion
- (2013) Huachun Tan et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Performance assessment of GPS/GLONASS single point positioning in an urban environment
- (2013) A. Angrisano et al. Acta Geodaetica et Geophysica
- Experimental comparison of representation methods and distance measures for time series data
- (2012) Xiaoyue Wang et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm
- (2011) Kit Yan Chan et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Multi-criteria decision analysis in environmental sciences: Ten years of applications and trends
- (2011) Ivy B. Huang et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Scalable tensor factorizations for incomplete data
- (2010) Evrim Acar et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- A Short-Term Forecasting Algorithm for Network Traffic Based on Chaos Theory and SVM
- (2010) Xingwei Liu et al. Journal of Network and Systems Management
- Statistical methods versus neural networks in transportation research: Differences, similarities and some insights
- (2010) M.G. Karlaftis 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
- Cross-Correlation Analysis and Multivariate Prediction of Spatial Time Series of Freeway Traffic Speeds
- (2008) Srinivasa Ravi Chandra et al. TRANSPORTATION RESEARCH RECORD
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started