Results 21 to 30 of about 238,589 (289)

AASLD practice guidance on drug, herbal, and dietary supplement–induced liver injury

, 2022
Hepatology, EarlyView.
Robert J. Fontana, Iris Liou, Adrian Reuben, Ayako Suzuki, M. Isabel Fiel, William Lee, Victor Navarro   +6 more
wiley   +1 more source

Fluctuation-induced traffic congestion in heterogeneous networks [PDF]

, 2011
In studies of complex heterogeneous networks, particularly of the Internet, significant attention was paid to analyzing network failures caused by hardware faults or overload, where the network reaction was modeled as rerouting of traffic away from ...
, A. S. Stepanenko, C. C. Constantinou, Cao J., I. V. Lerner, I. V. Yurkevich, Kurose J. F., Moreno Y., Wang B.   +8 more
core   +2 more sources

Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm

Complexity, 2017
Traffic congestion is a common problem in many countries, especially in big cities. At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic ...
Li Wang, Shimin Lin, Jingfeng Yang, Nanfeng Zhang, Ji Yang, Yong Li, Handong Zhou, Feng Yang, Zhifu Li   +8 more
doaj   +1 more source

Evaluation of Main Traffic Congestion Degree for Restricted Waters with AIS Reports [PDF]

TransNav, 2010
Traditionally, marine traffic congestion degree in restricted waters is usually deduced from traffic volume or traffic density. Both of which, however, can not be easily and accurately determined and can not fully reflect the traffic congestion degree ...
Qinyou Hu, Jiajia Yong, Chaojian Shi, Guowei Chen   +3 more
doaj  

MF-TCPV: A Machine Learning and Fuzzy Comprehensive Evaluation-Based Framework for Traffic Congestion Prediction and Visualization

IEEE Access, 2020
A framework for traffic congestion prediction and visualization based on machine learning and Fuzzy Comprehensive Evaluation named MF-TCPV is proposed in this paper.
Leixiao Li, Hao Lin, Jianxiong Wan, Zhiqiang Ma, Hui Wang   +4 more
doaj   +1 more source

Scalable Deep Traffic Flow Neural Networks for Urban Traffic Congestion Prediction

, 2017
Tracking congestion throughout the network road is a critical component of Intelligent transportation network management systems. Understanding how the traffic flows and short-term prediction of congestion occurrence due to rush-hour or incidents can be ...
Elmasri, Ramez, Fouladgar, Mohammadhani, Ghaderi, Amir, Parchami, Mostafa   +3 more
core   +1 more source

WINNING STRATEGIES IN CONGESTED TRAFFIC [PDF]

International Journal of Modern Physics C, 2012
One-directional traffic on two-lanes is modeled in the framework of a spring-block type model. A fraction q of the cars are allowed to change lanes, following simple dynamical rules, while the other cars keep their initial lane. The advance of cars, starting from equivalent positions and following the two driving strategies is studied and compared. As
Jarai-Szabo, Ferenc, Neda, Zoltan
openaire   +2 more sources

Selective Scale-Aware Network for Traffic Density Estimation and Congestion Detection in ITS

Sensors
Traffic congestion detection in surveillance video is crucial for road traffic condition monitoring and improving traffic operation efficiency. Currently, traffic congestion is often characterized through traffic density, which is obtained by detecting ...
Cheng Jian, Chenxi Lin, Xiaojian Hu, Jian Lu   +3 more
doaj   +1 more source

Research on road traffic congestion index based on comprehensive parameters: Taking Dalian city as an example

Advances in Mechanical Engineering, 2018
Traffic congestion index reflects the state of traffic flow. The detection and analysis on traffic congestion index can be used to estimate the operation status of roads, to plan and organize road traffic for traffic managers, and to make the reasonable ...
Wan-Xiang Wang, Rui-Jun Guo, Jing Yu
doaj   +1 more source

Measuring Traffic Congestion with Novel Metrics: A Case Study of Six U.S. Metropolitan Areas

ISPRS International Journal of Geo-Information, 2023
Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using
Jeong Seong, Yunsik Kim, Hyewon Goh, Hyunmin Kim, Ana Stanescu   +4 more
doaj   +1 more source