Traffic flow prediction by an ensemble framework with data denoising and deep learning model
出版年份 2020 全文链接
标题
Traffic flow prediction by an ensemble framework with data denoising and deep learning model
作者
关键词
Traffic flow prediction, Ensemble framework, Data quality control, LSTM network
出版物
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 565, Issue -, Pages 125574
出版商
Elsevier BV
发表日期
2020-11-25
DOI
10.1016/j.physa.2020.125574
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。- Convolutional neural networks for 5G-enabled Intelligent Transportation System : A systematic review
- (2020) Deepika Sirohi et al. COMPUTER COMMUNICATIONS
- Ship Type Recognition via a Coarse-to-Fine Cascaded Convolution Neural Network
- (2020) Xinqiang Chen et al. JOURNAL OF NAVIGATION
- Robust Visual Ship Tracking with an Ensemble Framework via Multi-View Learning and Wavelet Filter
- (2020) Xinqiang Chen et al. SENSORS
- Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
- (2020) Hao Peng et al. INFORMATION SCIENCES
- A Hybrid Dual Kalman Filtering Model for Short-term Traffic Flow Forecasting
- (2019) Teng Zhou et al. IET Intelligent Transport Systems
- Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning
- (2019) Weibin Zhang et al. Transportmetrica A-Transport Science
- 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
- Short-term traffic volume prediction using GA-BP based on wavelet denoising and phase space reconstruction
- (2019) Yanni Peng et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- A noise-immune Kalman filter for short-term traffic flow forecasting
- (2019) Lingru Cai et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Markov Chains based route travel time estimation considering link spatio-temporal correlation
- (2019) Jinjun Tang et al. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
- Two-echelon location-routing optimization with time windows based on customer clustering
- (2018) Yong Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- Taxi Drivers' Cruising Patterns-Insights from Taxi GPS Traces
- (2018) Fang Zong et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Identification, Characterization, and Prediction of Traffic Flow Patterns in Multi-Airport Systems
- (2018) Mayara Conde Rocha Murca et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Real-time estimation of freeway travel time with recurrent congestion based on sparse detector data
- (2018) Lili Lu et al. IET Intelligent Transport Systems
- Identifying activities and trips with GPS data
- (2018) Zong Fang et al. IET Intelligent Transport Systems
- Robust Ship Tracking via Multi-view Learning and Sparse Representation
- (2018) Xinqiang Chen et al. JOURNAL OF NAVIGATION
- Construction of traffic state vector using mutual information for short-term traffic flow prediction
- (2018) Unsok Ryu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A comparative study of EMD and EEMD approaches for identifying chatter frequency in CNC turning
- (2018) Y. Shrivastava et al. EUROPEAN JOURNAL OF MECHANICS A-SOLIDS
- Dynamic factor model for network traffic state forecast
- (2018) Tao Ma et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Controller Independent Software-in-the-Loop Approach to Evaluate Rule-Based Traffic Signal Retiming Strategy by Utilizing Floating Car Data
- (2018) Salil Sharma et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic
- (2017) Jinjun Tang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Profit distribution in collaborative multiple centers vehicle routing problem
- (2017) Yong Wang et al. JOURNAL OF CLEANER PRODUCTION
- A new methodology for vehicle trajectory reconstruction based on wavelet analysis
- (2017) Mehdi Rafati Fard et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Comparing traffic state estimators for mixed human and automated traffic flows
- (2017) Ren Wang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- An Online Change-Point-Based Model for Traffic Parameter Prediction
- (2013) Gurcan Comert et al. 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 MoreAsk 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