Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Interval prediction of short-term traffic speed with limited data input: Application of fuzzy-grey combined prediction model
Authors
Keywords
Intelligent transportation systems, Short-term traffic speed, Interval prediction, Fuzzy information granulation, Grey autoregressive prediction model
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume -, Issue -, Pages 115878
Publisher
Elsevier BV
Online
2021-09-10
DOI
10.1016/j.eswa.2021.115878
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Short-term traffic speed prediction under different data collection time intervals using a SARIMA-SDGM hybrid prediction model
- (2019) Zhanguo Song et al. PLoS One
- Prediction interval of wind power using parameter optimized Beta distribution based LSTM model
- (2019) Xiaohui Yuan et al. APPLIED SOFT COMPUTING
- Construction of prediction intervals using adaptive neurofuzzy inference systems
- (2018) Bara Miskony et al. APPLIED SOFT COMPUTING
- Short-Term Traffic Speed Forecasting Based on Attention Convolutional Neural Network for Arterials
- (2018) Qingchao Liu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Resampling Methods for Estimating Travel Time Uncertainty: Application of the Gap Bootstrap
- (2018) Bhaven Naik et al. TRANSPORTATION RESEARCH RECORD
- Boundedness of the Solutions to Certain Delay Dynamic Integrodifferential Systems on Time Scales
- (2018) Min Fan et al. DISCRETE DYNAMICS IN NATURE AND SOCIETY
- An Improved Fuzzy Neural Network for Traffic Speed Prediction Considering Periodic Characteristic
- (2017) Jinjun Tang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Time series interval forecast using GM(1,1) and NGBM(1, 1) models
- (2017) Ying-Yuan Chen et al. SOFT COMPUTING
- Deep learning for short-term traffic flow prediction
- (2017) Nicholas G. Polson et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Grey Coupled Prediction Model for Traffic Flow with Panel Data Characteristics
- (2016) Jinwei Yang et al. Entropy
- Short-term freeway traffic parameter prediction: Application of grey system theory models
- (2016) Anton Bezuglov et al. EXPERT SYSTEMS WITH APPLICATIONS
- Short-term prediction of traffic parameters-performance comparison of a data-driven and less-data-required approaches
- (2016) Mohamed Badhrudeen et al. JOURNAL OF ADVANCED TRANSPORTATION
- A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting
- (2016) Pinlong Cai et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Using interval information granules to improve forecasting in fuzzy time series
- (2015) Wei Lu et al. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING
- 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
- Short-term traffic flow prediction using seasonal ARIMA model with limited input data
- (2015) S. Vasantha Kumar et al. European Transport Research Review
- Short-term traffic flow prediction using seasonal ARIMA model with limited input data
- (2015) S. Vasantha Kumar et al. European Transport Research Review
- A hybrid short-term traffic flow forecasting method based on spectral analysis and statistical volatility model
- (2013) Yanru Zhang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Short-Term Load and Wind Power Forecasting Using Neural Network-Based Prediction Intervals
- (2013) Hao Quan et al. IEEE Transactions on Neural Networks and Learning Systems
- Advanced formation and delivery of traffic information in intelligent transportation systems
- (2012) Hsu-Yung Cheng et al. EXPERT SYSTEMS WITH APPLICATIONS
- 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
- 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
- Real-Time Traffic Flow Forecasting Using Spectral Analysis
- (2011) Tigran T. Tchrakian et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
- (2010) A Khosravi et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Developing an interval forecasting method to predict undulated demand
- (2010) Ya-Ling Huang et al. QUALITY & QUANTITY
- Real-time road traffic prediction with spatio-temporal correlations
- (2010) Wanli Min et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- The Reliability of Travel Time Forecasting
- (2009) Menglong Yang et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models
- (2009) Srinivasa Ravi Chandra et al. Journal of Intelligent Transportation Systems
- 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
- Memory properties and fractional integration in transportation time-series
- (2009) Matthew G. Karlaftis et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- The design of fuzzy information granules: Tradeoffs between specificity and experimental evidence
- (2008) Fusheng Yu et al. APPLIED SOFT COMPUTING
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