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Mental representation of traffic signs and their classification: warning signs
(2019)
Elsevier Ltd The effect of traffic signs in the motor behavior of drivers is not fully understood yet. Knowing about how humans process the meaning of signs will improve response time to those signs and the decision making ...
Lightweight PVIDNet: A Priority Vehicles Detection Network Model Based on Deep Learning for Intelligent Traffic Lights
(Multidisciplinary Digital Publishing Institute - MDPI, 2021)
Mining Social Networks to Detect Traffic Incidents
(Springer, 2020-02)
Social networks are usually used by citizens to report or complain about traffic incidents that affect their daily mobility. Automatically finding traffic-related reports and extracting useful information from them is not ...
Statistical analysis of network traffic for anomaly detection and quality of service provisioning
(École nationale supérieure des télécommunications de Bretagne, 2010)
Network-wide traffic analysis and monitoring in large-scale networks is a challenging and expensive task. In this thesis work we have proposed to analyze the traffic of a large-scale IP network from aggregated traffic ...
Sistema de contagem de fluxo de veículos
(Universidade Tecnológica Federal do ParanáPato BrancoBrasilDepartamento Acadêmico de InformáticaEngenharia de ComputaçãoUTFPR, 2016-11-18)
The traffic management is a growing problem due to increase in the volume of vehicles that travel on transport roads. The Pato Branco Department of Traffic (Depatran) has been counting the number of vehicles to plan its ...
Detecting botnet traffic from a single host
(IGI Publishing, 2015)
The detection of bots and botnets in the network may be improved if the analysis is done on the traffic of one bot alone. While a botnet may be detected by correlating the behavior of several bots in a large amount of ...
The relationship between trends in COVID-19 prevalence and traffic levels in South Korea
Objective: The World Health Organization (WHO) declared a COVID-19 pandemic on March 12, 2020.
Several studies have indicated that densely populated urban environments and the heavy dependence on
traffic could increase ...