Network Traffic Modeling and Prediction Using Graph Gaussian Processes
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3230908
Abstract: Traffic modeling and prediction is a vital task for designing efficient resource allocation strategies in telecommunication networks. This is challenging because network traffic data exhibits complex nonlinear spatiotemporal interactions. Moreover, the data can have missing… read more here.
Keywords: traffic modeling; network; modeling prediction; traffic ... See more keywords
Green Femtocells in the IoT Era: Traffic Modeling and Challenges -- An Overview
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Network"
DOI: 10.1109/mnet.2017.1700062
Abstract: The rapid increase in numbers of communicating devices, such as smartphones, PDAs, and notebooks, is causing the demand for mobile data traffic to grow significantly. In recent years, mobile operators have been trying to find… read more here.
Keywords: traffic; traffic modeling; femtocells iot; iot era ... See more keywords
An Experimental Framework of Particulate Matter Emission Factor Development for Traffic Modeling
Sign Up to like & getrecommendations! Published in 2023 at "Atmosphere"
DOI: 10.3390/atmos14040706
Abstract: To estimate traffic facility-oriented particulate matter (PM) emissions, emission factors are both necessary and critical for traffic planners and the community of traffic professionals. This study used locally calibrated laser-scattering sensors to collect PM emission… read more here.
Keywords: traffic modeling; particulate matter; emission; traffic ... See more keywords
Enhancing Urban Traffic Modeling Using Google Traffic and Field Data: A Case Study in Flood-Prone Areas of Loja, Ecuador
Sign Up to like & getrecommendations! Published in 2025 at "Sustainability"
DOI: 10.3390/su17219718
Abstract: Urban mobility plays a critical role in ensuring resilience during natural disasters such as floods, yet developing reliable traffic models remains challenging for medium-sized cities with limited monitoring infrastructure. This study developed a hybrid traffic… read more here.
Keywords: field; traffic modeling; google traffic; prone areas ... See more keywords
Statistical Risk and Performance Analyses on Naturalistic Driving Trajectory Datasets for Traffic Modeling
Sign Up to like & getrecommendations! Published in 2024 at "World Electric Vehicle Journal"
DOI: 10.3390/wevj15030077
Abstract: The development of autonomous driving technology has made simulation testing one of the most important tools for evaluating system performance. However, there is a lack of systematic methods for analyzing and assessing naturalistic driving trajectory… read more here.
Keywords: traffic modeling; naturalistic driving; risk; driving trajectory ... See more keywords