Results 31 to 40 of about 144,271 (315)
Structuring of Road Traffic Flows
Promet (Zagreb), 2005 Systemic traffic count on the Croatian road network hasbeen carried out for more than three decades in different ways.During this period a large number of automatic traffic countershave been installed, and they operate on different principles.The traffic
Planko Rožić, Petar Rožić
doaj +1 more source
Traffic flow sensitivity to visco-elasticity
Theoretical and Applied Mechanics Letters, 2016 This letter reports traffic flow sensitivity to visco-elasticity, with the traffic flow modeling briefly described at first and then used to do traffic flow simulations whose results can reflect the properties of spatial–temporal evolution of ring ...
M.N. Smirnova +3 more
doaj +1 more source
Traffic network design by cellular automaton-based traffic simulator
Computer Assisted Methods in Engineering and Science, 2017 Braess pointed out that adding a new road to overcome a traffic congestion could cause a new traffic congestion leading to the reduction of the traffic flow in the whole traffic network, which is called Braess' paradox.
Eisuke Kita +3 more
doaj +1 more source
A Marine Traffic Flow Model [PDF]
TransNav, 2013 A model is developed for studying marine traffic flow through classical traffic flow theories, which can provide us with a better understanding of the phenomenon of traffic flow of ships.
Tsz Leung Yip
doaj +1 more source
Attention-Based Gated Recurrent Graph Convolutional Network for Short-Term Traffic Flow Forecasting
Journal of Mathematics, 2023 Traffic flow prediction is the basis of dynamic strategies and applications of intelligent transportation systems (ITS). Accurate traffic flow prediction is of great practical significance in alleviating road congestion and reducing urban road traffic ...
Ping Lou +4 more
doaj +1 more source
Fundamental diagram of traffic flows on urban roads – local versus whole-link approaches [PDF]
, 2009 Fundamental diagrams of traffic flow variables have been quite useful in determining freeway operations quality. However, they are usually not used for that purpose on urban roads.
Elmar Brockfeld +8 more
core +1 more source
FEBS Letters, EarlyView.We identified a systemic, progressive loss of protein S‐glutathionylation—detected by nonreducing western blotting—alongside dysregulation of glutathione‐cycle enzymes in both neuronal and peripheral tissues of Taiwanese SMA mice. These alterations were partially rescued by SMN antisense oligonucleotide therapy, revealing persistent redox imbalance as ...
Sofia Vrettou, Brunhilde Wirth
wiley +1 more source
Traffic Flow Forecast Through Time Series Analysis Based on Deep Learning
IEEE Access, 2020 Traffic congestion is a thorny issue to many large and medium-sized cities, posing a serious threat to sustainable urban development. Recently, intelligent traffic system (ITS) has emerged as an effective tool to mitigate urban congestion. The key to the
Jianhu Zheng, Mingfang Huang
doaj +1 more source
A Hybrid Deep Learning Framework for Long-Term Traffic Flow Prediction
IEEE Access, 2021 An accurate and reliable traffic flow prediction is of great significance, especially the long-term traffic flow prediction e.g., 24 hours, which can help the traffic decision-makers formulate the future traffic management strategy.
Yiqun Li +3 more
doaj +1 more source
FEBS Letters, EarlyView.In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source