Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting
Sign Up to like & getrecommendations! Published in 2017 at "Data Science and Engineering"
DOI: 10.1007/s41019-017-0048-y
Abstract: Abstract Data streams have arisen as a relevant topic during the last few years as an efficient method for extracting knowledge from big data. In the robust layered ensemble model (RLEM) proposed in this paper… read more here.
Keywords: traffic; short term; traffic flow; term traffic ... See more keywords
A joint temporal-spatial ensemble model for short-term traffic prediction
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.06.028
Abstract: Abstract In this paper, we address the problem of short-term traffic flow prediction since accurate prediction of short-term traffic flow facilitates timely traffic management and rapid response. We advocate deep machine learning approach and propose… read more here.
Keywords: short term; model; prediction; traffic ... See more keywords
Short-Term Traffic Forecasting Using Self-Adjusting k-Nearest Neighbours
Sign Up to like & getrecommendations! Published in 2017 at "Iet Intelligent Transport Systems"
DOI: 10.1049/iet-its.2016.0263
Abstract: Short-term traffic forecasting is becoming more important in intelligent transportation systems. The k-nearest neighbour (kNN) method is widely used for short-term traffic forecasting. However, the self-adjustment of kNN parameters has been a problem due to… read more here.
Keywords: traffic; knn; term traffic; traffic forecasting ... See more keywords
Fuzzy hybrid framework with dynamic weights for short‐term traffic flow prediction by mining spatio‐temporal correlations
Sign Up to like & getrecommendations! Published in 2019 at "IET Intelligent Transport Systems"
DOI: 10.1049/iet-its.2019.0287
Abstract: Forecasting short-term traffic flows is crucial in designing intelligent transportation systems. There has been significant research on this topic; however, no single model can maintain optimality under all conditions. This study analysed the complementarity of… read more here.
Keywords: traffic; term; term traffic; traffic flow ... See more keywords
Long-Term Traffic Scheduling Based on Stacked Bidirectional Recurrent Neural Networks in Inter-Datacenter Optical Networks
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2959303
Abstract: With the rapid evolution of high-speed mobile communications, cloud computing, and other high-bitrate datacenter-supported services, efficient and flexible traffic scheduling has become one of the fundamental tasks of inter-datacenter optical networks (IDCONs). Traffic scheduling algorithms… read more here.
Keywords: traffic scheduling; prediction; long term; traffic ... See more keywords
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2019.2933823
Abstract: This paper presents a scalable deep learning approach for short-term traffic prediction based on historical traffic data in a vehicular road network. Capturing the spatio-temporal relationship of the big data often requires a significant amount… read more here.
Keywords: road; short term; term traffic; traffic ... See more keywords
Deep Graph Gaussian Processes for Short-Term Traffic Flow Forecasting From Spatiotemporal Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3178136
Abstract: Accurate estimation of short-term traffic flow, which can help to assist travelers make better route choices, is a significant research field of intelligent transportation system. In order to extract complex spatiotemporal features from a small… read more here.
Keywords: traffic; term traffic; traffic flow; short term ... See more keywords
Short-Term Traffic Flow Prediction Based on Graph Convolutional Networks and Federated Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3179391
Abstract: This study proposes a short-term traffic flow prediction model that combines community detection-based federated learning with a graph convolutional network (GCN) to alleviate the time-consuming training, higher communication costs, and data privacy risks of global… read more here.
Keywords: term traffic; traffic; prediction; traffic flow ... See more keywords
Intelligent short term traffic forecasting using deep learning models with Bayesian contextual hyperband tuning
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence"
DOI: 10.1111/coin.12554
Abstract: An intelligent transport system (ITS) is fully valuable only if it can dynamically and aptly integrate all the latest cutting‐edge technologies. An ITS focuses on providing services like promptly offering real‐time road traffic information to… read more here.
Keywords: time; term traffic; traffic; model ... See more keywords
A Combined Deep Learning Method with Attention-Based LSTM Model for Short-Term Traffic Speed Forecasting
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Advanced Transportation"
DOI: 10.1155/2020/8863724
Abstract: Short-term traffic speed prediction is a promising research topic in intelligent transportation systems (ITSs), which also plays an important role in the real-time decision-making of traffic control and guidance systems. However, the urban traffic speed… read more here.
Keywords: traffic; term traffic; traffic speed; short term ... See more keywords
Short-term traffic flow prediction using a self-adaptive two-dimensional forecasting method
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Mechanical Engineering"
DOI: 10.1177/1687814017719002
Abstract: Short-term traffic volume forecasting is widely recognized as an important element of intelligent transportation systems, because the accuracy of predictive methods determines the performance of real-time traffic control and management to some extent. The goal… read more here.
Keywords: traffic; term traffic; method; two dimensional ... See more keywords