Physics of microscopic vehicular traffic prediction for automated driving.
Sign Up to like & getrecommendations! Published in 2022 at "Physical review. E"
DOI: 10.1103/physreve.106.044307
Abstract: With the use of microscopic traffic simulations, physical features of microscopic traffic prediction for automated driving that should improve traffic harmonization and safety have been found: During a short-time prediction horizon (about 10 s), online prediction… read more here.
Keywords: traffic prediction; automated driving; physics; traffic ... See more keywords
Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2017.2787696
Abstract: Accurately predicting future service traffic would be of great help for load balancing and resource allocation, which plays a key role in guaranteeing the quality of service (QoS) in cloud computing. With the rapid development… read more here.
Keywords: traffic; network; traffic prediction; recurrent ... See more keywords
Short-Term Vehicle Traffic Prediction for Terahertz Line-of-Sight Estimation and Optimization in Small Cells
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2910225
Abstract: Significant efforts have been made and are still being made on short-term traffic prediction methods, especially for highway traffic based on punctual measurements. The literature on predicting the spatial distribution of the traffic in urban… read more here.
Keywords: vehicle; small cells; short term; prediction ... See more keywords
Optimal Variational Mode Decomposition and Integrated Extreme Learning Machine for Network Traffic Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3069280
Abstract: Network traffic prediction plays a vital role in effective network management, load evaluation and security warning. Extreme learning machine has the advantages of fast convergence speed and strong generalization ability. Also, it does not easily… read more here.
Keywords: prediction; network traffic; extreme learning; network ... See more keywords
Traffic Prediction in Smart Cities Based on Hybrid Feature Space
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3231448
Abstract: In smart cities of the future, data will be generated, integrated, processed and utilized from heterogeneous sources and at varying levels of complexity. For urban traffic planning in smart cities, one of the biggest challenges… read more here.
Keywords: traffic prediction; traffic congestion; traffic; smart cities ... See more keywords
Resource Allocation With Edge-Cloud Collaborative Traffic Prediction in Integrated Radio and Optical Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3237257
Abstract: By integrating communications in different domains, integrated radio and optical networks can serve a wider range of applications and services. Integrated radio and optical network scenarios will involve more weak-computation-ability network nodes, such as small-cell… read more here.
Keywords: traffic prediction; prediction; integrated radio; resource allocation ... See more keywords
A Hybrid Deep Learning Method Based on CEEMDAN and Attention Mechanism for Network Traffic Prediction
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3268437
Abstract: Accurate prediction of network traffic trends is important for self-management, intelligent scheduling and network resource optimization of base stations. Network traffic prediction is a prerequisite for intelligent scheduling of base stations, and accurate prediction will… read more here.
Keywords: attention mechanism; network; traffic prediction; prediction ... See more keywords
Machine Learning-Based Cellular Traffic Prediction Using Data Reduction Techniques
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3392624
Abstract: Estimating and analyzing traffic patterns become essential in managing Quality of Service (QoS) metrics while assessing internet data traffic in cellular networks. Cellular network planners frequently apply various approaches to predict network traffic. However, most… read more here.
Keywords: cellular traffic; machine learning; prediction; traffic prediction ... See more keywords
Bounded Low Latency via Inverse Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2024.3411073
Abstract: Accurate traffic prediction is essential for effective resource utilization and improving user experience quality in next generation wireless networks. Machine Learning (ML) techniques offer promising results for traditional scenarios; however, pre-sampling network traffic for training… read more here.
Keywords: inverse reinforcement; network traffic; prediction; traffic prediction ... See more keywords
Traffic Prediction and Fast Uplink for Hidden Markov IoT Models
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3195067
Abstract: In this work, we present a novel traffic prediction and fast uplink (FU) framework for IoT networks controlled by binary Markovian events. First, we apply the forward algorithm with hidden Markov models (HMMs) in order… read more here.
Keywords: traffic prediction; prediction fast; hidden markov; fast uplink ... See more keywords
Empowering C-V2X Through Advanced Joint Traffic Prediction in Urban Networks
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2024.3447046
Abstract: Cellular vehicle-to-everything (C-V2X) can provide ubiquitous mobile computing and communication services for vehicles, acting as a key technology to realize future urban intelligent transportation systems (ITS). Due to the lack of long-term insight into complex… read more here.
Keywords: joint traffic; road; model; traffic prediction ... See more keywords