Results 21 to 30 of about 236,733 (299)
AASLD practice guidance on drug, herbal, and dietary supplement–induced liver injury
, 2022 Hepatology, EarlyView.
Robert J. Fontana +6 more
wiley +1 more source
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 +4 more
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 +4 more
doaj +1 more source
Role of connectivity in congestion and decongestion in networks
, 2005 We study network traffic dynamics in a two dimensional communication network with regular nodes and hubs. If the network experiences heavy message traffic, congestion occurs due to finite capacity of the nodes.
Gupte, Neelima, Singh, Brajendra K.
core +2 more sources
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
Traffic congestion in interconnected complex networks
, 2014 Traffic congestion in isolated complex networks has been investigated extensively over the last decade. Coupled network models have recently been developed to facilitate further understanding of real complex systems.
Tan, Fei +3 more
core +1 more source
Selective Scale-Aware Network for Traffic Density Estimation and Congestion Detection in ITS
SensorsTraffic 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 +3 more
doaj +1 more source
Research on Traffic Congestion Forecast Based on Deep Learning
Information, 2023 In recent years, the rapid economic development of China, the increase of the urban population, the continuous growth of private car ownership, the uneven distribution of traffic flow, and the local congestion of the road network have caused traffic ...
Yangyang Qi, Zesheng Cheng
doaj +1 more source
Efficient routing on complex networks
, 2005 In this letter, we propose a new routing strategy to improve the transportation efficiency on complex networks. Instead of using the routing strategy for shortest path, we give a generalized routing algorithm to find the so-called {\it efficient path ...
A. S. Tanenbaum +9 more
core +1 more source
Promet (Zagreb)Urban traffic congestion has emerged as a global challenge constraining sustainable development. Estimating the traffic congestion probability is crucial since it presents valuable information for formulating congestion mitigation strategies and ...
Wanru SUN, Hongjun CUI, Minqing ZHU
doaj +1 more source