Results 111 to 120 of about 144,271 (315)
High-resolution traffic flow data from the urban traffic control system in Glasgow
This dataset offers a long-term traffic flow data at an intra-city scale with high spatio-temporal granularity. The dataset covers the Glasgow City Council area for four consecutive years spanning the COVID-19 pandemic, from October 2019 to September ...
Wang, Mingshu, Li, Yue, Zhao, Qunshan
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A Two-Stream Graph Convolutional Neural Network for Dynamic Traffic Flow Forecasting
, 2020 Forecasting the traffic flow is a critical issue for researchers and practitioners in the field of transportation. Using the graph convolutional network (GCN) is widespread in traffic flow forecasting. Existing GCN-based methods mostly rely on undirected
Zhaoyang Li +7 more
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Advanced Materials Interfaces, EarlyView.Solid‐state nanopores are used to interrogate dendrimer‐peptide conjugates with systematically varied peptide loading. Single‐particle ionic current signatures reveal how ligand density modulates deformability, transport pathways, and electromechanical coupling during translocation.
Chaoming Gu +7 more
wiley +1 more source
Advanced Science, EarlyView.By integrating data from in vitro, ex vivo, and in vivo models, our research identifies the MARV glycoprotein as a remarkable hemorrhagic factor, filling a major gap in this important field. It also provides practical experimental tools for the basic research on viral pathogenesis and applied research aimed at antiviral intervention for hemorrhagic ...
Ting Yao +11 more
wiley +1 more source
Suppressing traffic flow instabilities
16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), 2013 While many models of traffic flow predict the instabilities commonly observed-particularly at higher traffic densities-there are few suggestions for suppressing them. A method is described here for suppressing instabilities, thereby reducing gas consumption, accidents, wear and tear on vehicles and roadways as well as travel times while increasing ...
openaire +1 more source
Traffic Management Systems [PDF]
This study uses regression analysis to evaluate long-run traffic management system performance. Three important traffic management systems in the Twin Cities metro area - Ramp Metering, Variable Message Signs (VMS), and Freeway Service Patrol (the ...
Wei Chen, David Levinson
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Advanced Science, EarlyView.Neuronal PKM2‐driven glycolysis generates excess lactate that triggers histone H3K18 lactylation (H3K18la), establishing a pathogenic metabolic‐epigenetic axis in epilepsy. Elevated H3K18la enriches the Cop1 promoter, transcriptionally upregulating the E3 ubiquitin ligase COP1, which subsequently drives proteasomal degradation of GABAARβ2 and impairs ...
Yuan Meng +8 more
wiley +1 more source
A Modified Cellular Automaton Approach for Mixed Bicycle Traffic Flow Modeling
Discrete Dynamics in Nature and Society, 2015 Several previous studies have used the Cellular Automaton (CA) for the modeling of bicycle traffic flow. However, previous CA models have several limitations, resulting in differences between the simulated and the observed traffic flow features.
Xiaonian Shan +3 more
doaj +1 more source
Intelligent Pavement for Traffic Flow Detection – Phase I
, 2012 This project explored a new approach in detecting vehicles on a roadway by making a roadway section itself a traffic flow detector. Sections of a given roadway are paved with carbon-nanotube (CNT)/cement composites; the piezoresitive property of carbon ...
Yu, Xun
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Research of Traffic Flow Parameters
, 2023 Opisivanje i modeliranje kretanja vozila u prometnom toku je složen proces koji uključuje mnoge promjenjive parametre i njihove međusobne interakcije. Ovi parametri i zakonitosti kretanja često se proučavaju u okviru područja prometnog inženjeringa i ...
Skočić, Ivan
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