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
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
Wireless Traffic Prediction With Scalable Gaussian Process: Framework, Algorithms, and Verification
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal on Selected Areas in Communications"
DOI: 10.1109/jsac.2019.2904330
Abstract: The cloud radio access network (C-RAN) is a promising paradigm to meet the stringent requirements of the fifth generation (5G) wireless systems. Meanwhile, the wireless traffic prediction is a key enabler for C-RANs to improve… read more here.
Keywords: framework; wireless traffic; prediction; traffic prediction ... 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
Spatial-Temporal Attention-Convolution Network for Citywide Cellular Traffic Prediction
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2020.3012279
Abstract: Cellular traffic prediction plays an important role in network management and resource utilization. However, due to the high nonlinearity and dynamic spatial-temporal correlation, it is challenging to obtain the traffic prediction accurately. In this letter,… read more here.
Keywords: convolution; spatial temporal; cellular traffic; traffic ... See more keywords