Results 71 to 80 of about 210,556 (289)

Measurement of noise events in road traffic streams: initial results from a simulation study [PDF]

, 2016
A key question for road traffic noise management is whether prediction of human response to noise, including sleep quality, could be improved over the use of conventional energy equivalent, or percentile, measures, by accounting for noise events in road ...
Brown, Lex, De Coensel, Bert, McBroom, James   +2 more
core  

Traffic flow prediction based on transformer

Journal of Physics: Conference Series, 2023
Abstract Nowadays, it is an obvious fact that with the double blessing of economic growth and the diversity of human’s life, travel has become an indispensable activity during the leisure time. Meanwhile, due to the convenience, timesaving and accessibility, private cars gradually play a vital role on the road. However, it is conceivable
openaire   +1 more source

Deep learning for short-term traffic flow prediction [PDF]

Transportation Research Part C: Emerging Technologies, 2017
We develop a deep learning model to predict traffic flows. The main contribution is development of an architecture that combines a linear model that is fitted using $\ell_1$ regularization and a sequence of $\tanh$ layers. The challenge of predicting traffic flows are the sharp nonlinearities due to transitions between free flow, breakdown, recovery ...
Polson, Nicholas, Sokolov, Vadim
openaire   +2 more sources

Microphysiological Systems of Lymphatics and Immune Organs

Advanced Healthcare Materials, EarlyView.
This review surveys recent progress in engineering lymphatic microenvironments and immune organoids within microphysiological systems, emphasizing innovative strategies to recreate the biochemical and biophysical complexity of native lymphatic tissues.
Ishita Jain, Ankur Singh, Andrés J. García   +2 more
wiley   +1 more source

Metro Traffic Flow Prediction via Knowledge Graph and Spatiotemporal Graph Neural Network

Journal of Advanced Transportation, 2022
Existing traffic flow prediction methods generally only consider the spatiotemporal characteristics of traffic flow. However, in addition to the spatiotemporal characteristics, the interference of various external factors needs to be considered in ...
Shun Wang, Yimei Lv, Yuan Peng, Xinglin Piao, Yong Zhang   +4 more
doaj   +1 more source

CARBOTRAF: A decision Support system for reducing pollutant emissions by adaptive traffic management [PDF]

, 2015
Traffic congestion with frequent “stop & go” situations causes substantial pollutant emissions. Black carbon (BC) is a good indicator of combustion-related air pollution and results in negative health effects.
Beckx, C, Dahlem, D, Elen, B, Hu, J, Kouwijzer, K, Litzenberger, M, Marcinek, M, Mascia, M, Mills, J, North, R, Theunis, J, van Poppel, M, Vranckx, S   +12 more
core  

A two-dimensional data-driven model for traffic flow on highways

, 2017
Based on experimental traffic data obtained from German and US highways, we propose a novel two-dimensional first-order macroscopic traffic flow model. The goal is to reproduce a detailed description of traffic dynamics for the real road geometry. In our
Fazekas, Adrian, Herty, Michael, Visconti, Giuseppe   +2 more
core   +1 more source

Redefining Therapies for Drug‐Resistant Tuberculosis: Synergistic Effects of Antimicrobial Peptides, Nanotechnology, and Computational Design

Advanced Healthcare Materials, EarlyView.
Antimicrobial peptide (AMP)‐loaded nanocarriers provide a multifunctional strategy to combat drug‐resistant Mycobacterium tuberculosis. By enhancing intracellular delivery, bypassing efflux pumps, and disrupting bacterial membranes, this platform restores phagolysosome fusion and macrophage function.
Christian S. Carnero Canales, Jessica Ingrid Marquez Cazorla, Renzo Marianito Marquez Cazorla, Aline Martins dos Santos, Jonatas Lobato Duarte, Letícia Oliveira Catarin Nunes, Túlio Custódio Reis, Lara Cerazi Salvador, Norival Alves Santos‐Filho, Rafael Miguel Sábio, Hélder A. Santos, Fernando Rogério Pavan   +11 more
wiley   +1 more source

Short-term traffic flow prediction at isolated intersections based on parallel multi-task learning

Systems Science & Control Engineering
This paper proposes a novel phase-based short-term traffic flow prediction method based on parallel multi-task learning for isolated intersections. Different from traditional short-term traffic flow prediction methods, we take the traffic flow of each ...
Bao-Lin Ye, Shiwei Zhu, Lingxi Li, Weimin Wu   +3 more
doaj   +1 more source

Air quality impact of a decision support system for reducing pollutant emissions: CARBOTRAF [PDF]

, 2014
Traffic congestion with frequent “stop & go” situations causes substantial pollutant emissions. Black carbon (BC) is a good indicator of combustion-related air pollution and results in negative health effects.
Assamer, J, Beckx, C, Breuss, S, Dahlem, D, Heilmann, B, Hu, J, Kolbl, R, Kouwijzer, G, Lefebvre, W, Lenz, G, Litzenberger, M, Marcinek, M, Mascia, M, Mills, J, North, R, Ritchter, G, Theunis, J, van Poppel, M, Vranckx, S   +18 more
core