Analysis THD and Power Factor for Luminaries Implemented in the Traffic Light System of Bogota

2016 ◽  
pp. 283-294
Author(s):  
José Ignacio Rodríguez-Molano ◽  
Hugo A. Serrato ◽  
Carlos A. Parra
Keyword(s):  
Power Factor ◽  
Traffic Light ◽  
Light System

scholarly journals Concurrent validity and responsiveness of Traffic Light System-BasicADL (TLS-BasicADL)

2021 ◽  
pp. 1-9
Author(s):  
Gillian Asplin ◽  
Gunilla Kjellby-Wendt ◽  
Monika Fagevik Olsén
Keyword(s):  
Concurrent Validity ◽  
Traffic Light ◽  
Light System

Investigation of performance properties of plastic optical fibres used in a traffic light system

2021 ◽  
Vol 51 (11) ◽  
pp. 1026-1029
Author(s):  
S Savoviċ ◽  
A Djordjevich ◽  
R Min ◽  
I Savoviċ
Keyword(s):  
Optical Fibres ◽  
Traffic Light ◽  
Performance Properties ◽  
Light System

Smart Traffic Light System

2021 ◽  
Vol 9 (9) ◽  
pp. 679-686
Author(s):  
Rashi Maheshwari
Keyword(s):  
Traffic Congestion ◽  
Traffic Signals ◽  
Traffic Monitoring ◽  
Traffic Signal ◽  
Traffic Signal Control ◽  
Traffic Light ◽  
Mathematical Functions ◽  
Light System ◽  
Smart Traffic ◽  
And Control

Abstract: Traffic signal control frameworks are generally used to monitor and control the progression of cars through the intersection of roads. Moreover, a portable controller device is designed to solve the issue of emergency vehicles stuck in overcrowded roads. The main objective of this paper is to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. The framework created can detect the presence or nonappearance of vehicles within a specific reach by setting appropriate duration for traffic signals to react accordingly. By employing mathematical functions and algorithms to ascertain the suitable timing for the green signal to illuminate, the framework can assist with tackling the issue of traffic congestion. The explanation relies on recent fixed programming time. Keywords: Smart Traffic Light System, Smart City, Traffic Monitoring.

scholarly journals An objective examination of consumer perception of nutrition information based on healthiness ratings and eye movements

2007 ◽  
Vol 10 (3) ◽  
pp. 238-244 ◽  
Author(s):  
Gary Jones ◽  
Miles Richardson
Keyword(s):  
Eye Movements ◽  
Consumer Perception ◽  
Nutrition Information ◽  
Objective Measures ◽  
Traffic Light ◽  
Nutrition Label ◽  
Nutrition Labels ◽  
Nutrition Labelling ◽  
Light System ◽  
Food Standards

AbstractObjectivePrevious research on nutrition labelling has mainly used subjective measures. This study examines the effectiveness of two types of nutrition label using two objective measures: eye movements and healthiness ratings.DesignEye movements were recorded while participants made healthiness ratings for two types of nutrition label: standard and standard plus the Food Standards Agency's ‘traffic light’ concept.SettingUniversity of Derby, UK.SubjectsA total of 92 participants (mean age 31.5 years) were paid for their participation. None of the participants worked in the areas of food or nutrition.ResultsFor the standard nutrition label, participant eye movements lacked focus and their healthiness ratings lacked accuracy. The traffic light system helped to guide the attention of the consumer to the important nutrients and improved the accuracy of the healthiness ratings of nutrition labels.ConclusionsConsumers have a lack of knowledge regarding how to interpret nutrition information for standard labels. The traffic light concept helps to ameliorate this problem by indicating important nutrients to which to pay attention.

Comment on “Two Foreshock Sequences Post Gulia and Wiemer (2019)” by Kelian Dascher-Cousineau, Thorne Lay, and Emily E. Brodsky

2021 ◽  
Author(s):  
Laura Gulia ◽  
Stefan Wiemer
Keyword(s):  
Puerto Rico ◽  
Magnitude Scale ◽  
Traffic Light ◽  
B Values ◽  
Light System ◽  
Meaningful Analysis ◽  
Earthquake Sequences

Abstract Dascher-Cousineau et al. (2020) apply the so-called foreshock traffic-light system (FTLS) model proposed by Gulia and Wiemer (2019) to two earthquake sequences that occurred after the submission of the model: the 2019 Ridgecrest (Mw 7.1) and the 2020 Mw 6.4 Puerto Rico earthquakes. We show in this comment that the method applied by Kelian Dascher-Cousineau et al. (2020) deviates in at least six substantial and not well-documented aspects from the original FTLS method. As a consequence, they used for example in the Ridgecrest case only 1% of the data available to estimate b-values and from a small subvolume of the relevant mainshock fault. In the Puerto Rico case, we document here substantial issues with the homogeneity of the magnitude scale that in our assessment make a meaningful analysis of b-values impossible. We conclude that the evaluation by Dascher-Cousineau et al. (2020) is misrepresentative and a not a fair test of the FTLS hypothesis.

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