Results 31 to 40 of about 359,562 (287)
IEEE Access, 2022 Vehicular Ad hoc Networks (VANETs) are established on vehicles that are intelligent and can have Vehicle-to-Vehicle (V2V) and Vehicle-to-Road Side Units (V2R) communications. In this paper, we propose a model for predicting network traffic by considering
Sanaz Shaker Sepasgozar, Samuel Pierre
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Predicting commuter flows in spatial networks using a radiation model based on temporal ranges
, 2014 Understanding network flows such as commuter traffic in large transportation networks is an ongoing challenge due to the complex nature of the transportation infrastructure and of human mobility.
Ercsey-Ravasz, Mária +4 more
core +1 more source
IEEE Access, 2019 Short-term traffic flow prediction is one of the most important issues in the field of intelligent transportation systems. It plays an important role in traffic information service and traffic guidance.
Luntian Mou +3 more
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Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network
, 2018 We propose a novel traffic sign detection system that simultaneously estimates the location and precise boundary of traffic signs using convolutional neural network (CNN).
Kim, Kang, Lee, Hee Seok
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Future Traffic Prediction from Short Period Traffic Data
IOP Conference Series: Materials Science and Engineering, 2020 Abstract Prediction of future traffic is a complicated process which requires logical prediction methods and experience. The present study focused on the prediction of future traffic from the AADT data which is estimated from the one week continuous traffic data collected from the selected study area. State wise traffic contributions are
I Srinivasula Reddy, Vikas Mendi
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Scientific ReportsAccurate traffic state prediction is of great significance to effective traffic planning and management. The different characteristics of different sections and time-varying traffic patterns pose a challenge to the accurate prediction of traffic ...
Yue Chen, Jian Lu
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Research on highway traffic flow prediction model and decision-making method
Scientific Reports, 2022 In order to solve the problem of traffic congestion in a certain area, this paper develops a set of traffic optimization decision system. For analyzing the actual traffic conditions and calculating the traffic volume, density and traffic speed, a traffic
Yuyu Zhu, QingE Wu, Na Xiao
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An integrated method for short-term prediction of road traffic conditions for intelligent transportation systems applications [PDF]
, 2013 The paper deals with the short-term prediction of road traffic conditions within Intelligent Transportation Systems applications. First, the problem of traffic modeling and the potential of different traffic monitoring technologies are discussed.
COLOMBARONI, CHIARA, FUSCO, Gaetano
core
Predicting Multimedia Traffic in Wireless Networks: A Performance Evaluation of Cognitive Techniques [PDF]
, 2014 Traffic engineering in networking is defined as the process that incorporates sophisticated methods in order to ensure optimization and high network performance.
Angelidis, P. +4 more
core +1 more source
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
FEBS Letters, EarlyView.The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source