Relevant bibliographies by topics / Multiple Traffic Light label

Academic literature on the topic 'Multiple Traffic Light label'

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Published: 10 March 2023

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Journal articles on the topic "Multiple Traffic Light label"

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Gorton, Delvina, Cliona Ni Mhurchu, Mei-hua Chen, and Robyn Dixon. "Nutrition labels: a survey of use, understanding and preferences among ethnically diverse shoppers in New Zealand." Public Health Nutrition 12, no. 9 (September 2009): 1359–65. http://dx.doi.org/10.1017/s1368980008004059.

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AbstractObjectiveEffective nutrition labels are part of a supportive environment that encourages healthier food choices. The present study examined the use, understanding and preferences regarding nutrition labels among ethnically diverse shoppers in New Zealand.Design and settingA survey was carried out at twenty-five supermarkets in Auckland, New Zealand, between February and April 2007. Recruitment was stratified by ethnicity. Questions assessed nutrition label use, understanding of the mandatory Nutrition Information Panel (NIP), and preference for and understanding of four nutrition label formats: multiple traffic light (MTL), simple traffic light (STL), NIP and percentage of daily intake (%DI).SubjectsIn total 1525 shoppers completed the survey: 401 Maori, 347 Pacific, 372 Asian and 395 New Zealand European and Other ethnicities (ten did not state ethnicity).ResultsReported use of nutrition labels (always, regularly, sometimes) ranged from 66 % to 87 % by ethnicity. There was little difference in ability to obtain information from the NIP according to ethnicity or income. However, there were marked ethnic differences in ability to use the NIP to determine if a food was healthy, with lesser differences by income. Of the four label formats tested, STL and MTL labels were best understood across all ethnic and income groups, and MTL labels were most frequently preferred.ConclusionsThere are clear ethnic and income disparities in ability to use the current mandatory food labels in New Zealand (NIP) to determine if foods are healthy. Conversely, MTL and STL label formats demonstrated high levels of understanding and acceptance across ethnic and income groups.
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Finkelstein, Eric A., Felicia Jia Ler Ang, Brett Doble, Wei Han Melvin Wong, and Rob M. van Dam. "A Randomized Controlled Trial Evaluating the Relative Effectiveness of the Multiple Traffic Light and Nutri-Score Front of Package Nutrition Labels." Nutrients 11, no. 9 (September 17, 2019): 2236. http://dx.doi.org/10.3390/nu11092236.

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The objective of this trial was to test two promising front-of-pack nutrition labels, 1) the United Kingdom’s Multiple Traffic Lights (MTL) label and 2) France’s Nutri-Score (NS), relative to a no-label control. We hypothesized that both labels would improve diet quality but NS would be more effective due to its greater simplicity. We tested this hypothesis via an online grocery store using a 3 × 3 crossover (within-person) design with 154 participants. Outcomes assessed via within person regression models include a modified Alternative Healthy Eating Index (AHEI)-2010 (primary), average Nutri-Score, calories purchased, and singular measures of diet quality of purchase orders. Results show that both labels significantly improve modified AHEI scores relative to Control but neither is statistically superior using this measure. NS performed statistically better than MTL and Control based on average Nutri-Score, yet, unlike MTL it did not statistically reduce calories or sugar from beverages. This suggest that NS may be preferred if the goal is to improve overall diet quality but, because calories are clearly displayed on the label, MTL may perform better if the goal is to reduce total energy intake.
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Babio, Nancy, Paloma Vicent, Leonor López, Anna Benito, Julio Basulto, and Jordi Salas-Salvadó. "Adolescents’ ability to select healthy food using two different front-of-pack food labels: a cross-over study." Public Health Nutrition 17, no. 6 (May 17, 2013): 1403–9. http://dx.doi.org/10.1017/s1368980013001274.

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AbstractObjectiveTo compare, in adolescents, two models of front-of-pack Guideline Daily Amounts (GDA) labels in terms of (i) friendliness and acceptance and (ii) the ability to choose a diet that closely follows the nutritional recommendations.DesignA randomized cross-over study was designed to compare two simplified front-of-pack GDA nutrition labels.SettingA Spanish secondary school.SubjectsEighty-one healthy adolescents aged between 14 and 16 years were recruited. Participants were randomly exposed to two experimental non-real food-choice conditions using multiple-traffic-light or monochrome nutritional labels. Participants had to choose options from a closed menu for 5 d on the basis of the experimental front-of-pack labelling. For each meal, three food options with different nutritional compositions were given to the participants. The contents of total energy and fat, saturated fat, sugar and salt of the chosen options were calculated.ResultsThere were no significant differences in baseline sociodemographic and anthropometric characteristics between participants regardless of the experimental condition in which they started. There were no carry-over effects between the experimental sequences. It was observed that when participants used the multiple-traffic-light GDA system they chose significantly less total energy (mean –123·1 (sd 211·0) kJ (−29·4 (sd 50·4) kcal), P < 0·001), sugar (−4·5 (sd 4·6) g, P < 0·001), fat (−2·1 (sd 4·5) g, P = 0·006), saturated fat (−1·0 (sd 1·9) g, P = 0·002) and salt (−0·4 (sd 0·5) g, P < 0·001) than when they used the monochrome GDA system.ConclusionsCompared with the monochrome GDA front-of-pack nutritional label, the multiple-traffic-light system helped adolescents to differentiate between healthier and less healthy food, theoretically making it possible for them to choose a diet closer to dietary recommendations.
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Talati, Zenobia, Simone Pettigrew, Bridget Kelly, Kylie Ball, Bruce Neal, Helen Dixon, Trevor Shilton, and Caroline Miller. "Can front-of-pack labels influence portion size judgements for unhealthy foods?" Public Health Nutrition 21, no. 15 (July 18, 2018): 2776–81. http://dx.doi.org/10.1017/s1368980018001702.

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AbstractObjectiveBy clearly conveying the healthiness of a food, front-of-pack (FOP) labels have the potential to influence the portion size considered appropriate for consumption. The present study examined the how the Daily Intake Guide (DIG), Multiple Traffic Lights (MTL) and Health Star Rating (HSR) FOP labels affect judgements of appropriate portion sizes of unhealthy foods compared with when no FOP label is present.DesignRespondents viewed mock packages of unhealthy variations of pizzas, cookies, yoghurts and cornflakes featuring the DIG, MTL, HSR or no FOP label, and indicated the portion size they believed should be eaten of each food on a single occasion.SettingThe survey was completed on the respondent’s personal computer.SubjectsA total of 1505 Australian adults provided 4166 ratings across 192 mock packages relating to four product categories: pizza, yoghurt, cornflakes and cookies.ResultsCompared with no FOP label, the HSR resulted in a small but significant reduction in the portion size selected as appropriate for consumption of pizzas and cornflakes (P<0·05). The MTL resulted in smaller portions of cornflakes being selected compared with no FOP label (P<0·05).ConclusionsRespondents perceived smaller portion sizes as appropriate for some, but not all, of the foods tested when FOP labels with more interpretative formats (HSR, MTL) appeared on-pack compared with no FOP label. No effect was found for the less interpretive FOP label (the DIG). Interpretive FOP labels may have the potential to influence portion size judgements, albeit at modest levels.
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Talati, Zenobia, Manon Egnell, Serge Hercberg, Chantal Julia, and Simone Pettigrew. "Consumers’ Perceptions of Five Front-of-Package Nutrition Labels: An Experimental Study Across 12 Countries." Nutrients 11, no. 8 (August 16, 2019): 1934. http://dx.doi.org/10.3390/nu11081934.

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Consumers’ perceptions of five front-of-pack nutrition label formats (health star rating (HSR), multiple traffic lights (MTL), Nutri-Score, reference intakes (RI) and warning label) were assessed across 12 countries (Argentina, Australia, Bulgaria, Canada, Denmark, France, Germany, Mexico, Singapore, Spain, the UK and the USA). Perceptions assessed included liking, trust, comprehensibility, salience and desire for the label to be mandatory. A sample of 12,015 respondents completed an online survey in which they rated one of the five (randomly allocated) front-of-pack labels (FoPLs) along the perception dimensions described above. Respondents viewing the MTL provided the most favourable ratings. Perceptions of the other FoPLs were mixed or neutral. No meaningful or consistent patterns were observed in the interactions between country and FoPL type, indicating that culture was not a strong predictor of general perceptions. The overall ranking of the FoPLs differed somewhat from previous research assessing their objective performance in terms of enhancing understanding of product healthiness, in which the Nutri-Score was the clear front-runner. Respondents showed a strong preference for mandatory labelling, regardless of label condition, which is consistent with past research showing that the application of labels across all products leads to healthier choices.
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Vanderlee, Lana, Beatriz Franco-Arellano, Mavra Ahmed, Angela Oh, Wendy Lou, and Mary R. L’Abbé. "The efficacy of ‘high in’ warning labels, health star and traffic light front-of-package labelling: an online randomised control trial." Public Health Nutrition 24, no. 1 (October 6, 2020): 62–74. http://dx.doi.org/10.1017/s1368980020003213.

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AbstractObjective:To examine the impact of front-of-package (FOP) labels on perceived healthfulness, purchasing intentions and understanding of common FOP systems.DesignA parallel, open-label design randomised participants to different FOP labelling conditions: ‘high in’ warning labels (WL), multiple traffic light labelling (TLL), health star ratings (HSR) (all displayed per serving) or control with no interpretive FOP labelling. Participants completed a brief educational session via a smartphone application and two experimental tasks. In Task 1, participants viewed healthy or unhealthy versions of four products and rated healthiness and purchasing intention on a seven-point Likert-type scale. In Task 2, participants ranked three sets of five products from healthiest to least healthy.SettingOnline commercial panel.ParticipantsCanadian residents ≥ 18 years who were involved in household grocery shopping, owned a smartphone and met minimum screen requirements.ResultsData from 1997 participants (n 500/condition) were analysed. Task 1: across most product categories, the TLL and HSR increased perceived healthiness of healthier products. All FOP systems decreased perceived healthiness of less healthy products. Similar, albeit dampened, effects were seen regarding purchasing intentions. Task 2: participants performed best in the HSR, followed by the TLL, WL and control conditions. Lower health literacy was associated with higher perceived healthiness and purchasing intentions and poorer ranking task performance across all conditions.ConclusionsAll FOP labelling systems, after a brief educational session, improved task performance across a wide spectrum of foods. This effect differed depending on the nutritional quality of the products and the information communicated on labels.Trial Registration: NCT03290118.
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Egnell, Talati, Gombaud, Galan, Hercberg, Pettigrew, and Julia. "Consumers’ Responses to Front-of-Pack Nutrition Labelling: Results from a Sample from The Netherlands." Nutrients 11, no. 8 (August 6, 2019): 1817. http://dx.doi.org/10.3390/nu11081817.

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Front-of-pack labels (FoPLs) are efficient tools for helping consumers identify healthier food products. Although discussions on nutritional labelling are currently ongoing in Europe, few studies have compared the effectiveness of FoPLs in European countries, including the Netherlands. This study aimed to compare five FoPLs among Dutch participants (the Health Star Rating (HSR) system, Multiple Traffic Lights (MTL), Nutri-Score, Reference Intakes (RIs), and Warning symbols) in terms of perception and understanding of the labels and food choices. In 2019, 1032 Dutch consumers were recruited and asked to select one product from among a set of three foods with different nutritional profiles, and then rank the products within the sets according to their nutritional quality. These tasks were performed with no label and then with one of the five FoPLs on the package, depending on the randomization arm. Finally, participants were questioned on their perceptions regarding the label to which they were exposed. Regarding perceptions, all FoPLs were favorably perceived but with only marginal differences between FoPLs. While no significant difference across labels was observed for food choices, the Nutri-Score demonstrated the highest overall performance in helping consumers rank the products according to their nutritional quality.
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Packer, Jessica, Simon J. Russell, Deborah Ridout, Anne Conolly, Curtis Jessop, Russell M. Viner, and Helen Croker. "Secondary Outcomes of a Front-of-Pack-Labelling Randomised Controlled Experiment in a Representative British Sample: Understanding, Ranking Speed and Perceptions." Nutrients 14, no. 11 (May 24, 2022): 2188. http://dx.doi.org/10.3390/nu14112188.

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Front-of-pack labels (FOPLs) provide simplified nutritional information that aims to inform consumer choice and encourage reformulation. We conducted an online randomised controlled experiment on a representative British sample to test the effectiveness of FOPLs across a range of outcomes. The primary outcomes have been published; here, we present the secondary outcomes: the ability to rank the healthiest product and the time to complete the rankings by comparing the FOPL groups and a no-label control, as well as a descriptive analysis of the perceptions. Participants from the NatCen panel were randomised to one of five experimental groups (Multiple Traffic Lights; Nutri-Score; Warning Label; Positive Choice tick; no-label control). Six food/drink categories were selected (pizza, drinks, cakes, crisps, yoghurts, breakfast cereals), and three products were created with varying healthiness. The participants (analytic sample = 4530) were asked to rank the products in order of healthiness twice (baseline: no label; follow-up: experimental group label). Compared to the control, the probability of correctly ranking the healthiest product at follow-up was significantly greater for the N-S, MTL and WL across all products. The time to correctly complete the ranking was fastest for the N-S, PC and no-label control. The descriptive analysis showed that the FOPLs were perceived favourably, and especially N-S and MTL. The findings were supportive of the primary analyses, with those results suggesting that N-S performed the best, and then MTL.
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Fialon, Morgane, Manon Egnell, Zenobia Talati, Pilar Galan, Louise Dréano-Trécant, Mathilde Touvier, Simone Pettigrew, Serge Hercberg, and Chantal Julia. "Effectiveness of Different Front-of-Pack Nutrition Labels among Italian Consumers: Results from an Online Randomized Controlled Trial." Nutrients 12, no. 8 (July 31, 2020): 2307. http://dx.doi.org/10.3390/nu12082307.

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In Italy, discussions are currently ongoing to implement a front-of-pack nutrition label (FoPL) while a growing number of European countries are adopting the Nutri-Score. The effectiveness of the Nutri-Score among Italian consumers requires further investigation. This study compared five FoPLs among Italian participants (Health Star Rating system, multiple traffic lights, Nutri-Score, reference intakes, warning symbol) in terms of food choices and understanding of the labels by consumers. In 2019, 1032 Italian consumers completed an online survey in which they were asked to select one product they would likely purchase from a set of three foods with different nutrient profiles and then classify the products within the set according to their nutritional quality, first with no label and then with one of the five FoPLs on the pack. While no significant difference across labels was observed for food choices, the Nutri-Score demonstrated the highest overall performance in helping consumers to correctly rank the products according to their nutritional quality compared to the reference intakes (OR = 2.18 (1.50–3.17), p-value < 0.0001). Our results provide new insights on the effectiveness of the Nutri-Score, which would be a relevant tool to inform Italian consumers on the nutritional quality of food products.
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Kontopoulou, Lamprini, George Karpetas, Εvangelos C. Fradelos, Ioanna V. Papathanasiou, Foteini Malli, Dimitrios Papagiannis, Dimitrios Mantzaris, Morgane Fialon, Chantal Julia, and Konstantinos I. Gourgoulianis. "Online Consumer Survey Comparing Different Front-of-Pack Labels in Greece." Nutrients 14, no. 1 (December 23, 2021): 46. http://dx.doi.org/10.3390/nu14010046.

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According to the WHO, front-of-pack nutrition labeling provides simplified nutrition information in the form of symbols, colors or words that can help consumers understand the nutritional quality of food, thus leading them to healthier food choices. It is considered of the utmost importance to explore the knowledge and understanding of consumers about this form of nutrition labeling. The aim of this study was to investigate the understanding and perceptions of Greek consumers in response to five different front-of-pack nutrition labels (FoPLs): the Multiple Traffic Lights, Health Star Rating System, Guideline Daily Amounts, Warning Symbols and Nutri-Score. From April 2021 to June 2021, 1278 participants from Greece took part in an online survey where they were asked to rank three products according to their nutritional quality. The classification process was performed first without FoPLs and then with FoPLs. The ability to classify products according to their nutritional quality was evaluated with multinomial logistic regression models, and the Nutri-Score label presented greater improvements when compared to the GDA label for Greek consumers. The Nutri-Score seemed to better help the Greek consumers rank foods according to their nutritional value.
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Dissertations / Theses on the topic "Multiple Traffic Light label"

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SAMPALEAN, NICULINA IUDITA. "ESPLORAZIONE DEL COMPORTAMENTO DEI CONSUMATORI NEI CONFRONTI DELLE DIVERSE ETICHETTE RELATIVE AGLI ALIMENTI DI QUALITÀ CERTIFICATA DALL'UNIONE EUROPEA." Doctoral thesis, Università Cattolica del Sacro Cuore, 2022. http://hdl.handle.net/10280/115280.

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Qualsiasi prodotto alimentare che si trova sul mercato contiene diverse etichette che aiutano i consumatori nel loro processo decisionale quando fanno acquisti. Questo aiuto può essere garantito solo se i consumatori comprendono il significato di queste etichette, le differenze tra loro e le informazioni che certificano. La tesi ha esplorato il ruolo delle etichette nel settore del marketing alimentare usando studi condotti sull'approccio del consumatore. Utilizzando diversi metodi (statistici ed econometrici), abbiamo analizzato le percezioni, la consapevolezza e la conoscenza dei consumatori verso alcune etichette alimentari e le loro preferenze e comportamenti verso i prodotti alimentari che portano queste etichette (etichette nutrizionali sul fronte della confezione e marchi di qualità europei). I prodotti alimentari certificati di qualità sono stati scelti perché sono drammaticamente rilevanti per il settore agroalimentare europeo, e ancora di più per quello italiano dove costituisce la DOP Economy, data la sua densità. Sulla base dei risultati abbiamo formulato alcune raccomandazioni di marketing, policy, e di comunicazione che potrebbero essere utilizzate dai consorzi per migliorare l'impegno dei consumatori per i prodotti con marchi di qualità. Le raccomandazioni sono state rivolte anche ai policy maker e ai produttori dei prodotti DOP/IGP/STG/Organici ma anche ai policy maker dell'Etichettatura Nutrizionale.
Any food product found on the market contains several labels that help consumers in their decision making when shopping. This help can be guaranteed only if the consumers understand the significance of those labels, the differences between them and the information that they certify. The thesis explored labels’ role in the food marketing sector and studies were carried out according to consumer approach. Using different methods (statistics and econometrics), we analyzed consumers perceptions, awareness, knowledge towards some food labels and their preferences and behavior toward food products bearing these labels (Front of Packaging Nutritional Labels and Quality labels). Quality certified food products were chosen because are dramatically relevant for the European agri-food sector, even more of the Italian one where it forms the DOP Economy, due to its density. Assessments of several food labels from a consumer behavior perspective was carried out. Based on the findings we formulated some policy, marketing recommendations and communication suggestions that could be used by the consortia to enhance consumers’ engagement for products with quality certifications (PDO/PG/TSG or organic). The recommendations were also addressed to policy makers and producers of the PDO/PGI/TSG/Organic products but also to the policy makers of the Nutritional Labelling.
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Shrestha, Anita. "Impact of front-of-pack nutrition labelling on dietary choices in Nepal." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235055/1/Anita_Shrestha_Thesis.pdf.

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This thesis is a mixed-method study investigating the effectiveness of front-of-pack nutrition labelling in guiding food choices in Nepal including a review of the global evidence on its equity impact across socio-economic status. The thesis examines the effects of different front-of-pack labelling schemes among Nepalese consumers which supports multiple traffic light labelling in improving consumers’ understanding of food product healthfulness. Furthermore, the exploration of key stakeholders’ views providing insights to policy context of nutrition labelling indicates Nepal government can progress front-of-pack labelling as a part of comprehensive public health and nutrition strategy to improve population diets.
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Hosseinyalamdary, Saivash Hosseinyalamdary. "Traffic Scene Perception using Multiple Sensors for Vehicular Safety Purposes." The Ohio State University, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=osu1462803166.

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Silva, Maria Cristina Furtado da. "Avaliação da compreensão da representação gráfica das informações nutricionais de rótulos de alimentos em adolescentes." Universidade do Vale do Rio dos Sinos, 2015. http://www.repositorio.jesuita.org.br/handle/UNISINOS/3819.

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Este trabalho tem como objetivo avaliar a compreensão da representação gráfica das informações nutricionais presentes nos rótulos de alimentos por adolescentes escolares. Foi realizado um estudo transversal com 56 adolescentes escolares (n=56), com idades compreendidas entre 15 e 17 anos, matriculados em uma escola particular de Porto Alegre/RS. Para a realização da pesquisa foi utilizado um questionário específico estruturado com nove perguntas fechadas dicotômicas e de múltipla escolha. Os resultados mostram que 41% dos adolescentes escolares costumam ler os rótulos antes da compra, 71% afirmam conhecer o significado de valor energético dos alimentos, 63% declaram compreender as informações escritas nos rótulos e 61% confiam nas informações escritas nas embalagens de alimentos. A maioria dos adolescentes compreende os componentes nutricionais presentes nos rótulos de alimentos brasileiros, e apenas 45% entendeu as informações nutricionais presentes no modelo de rótulo Traffic Light Labelling ou “Semáforo Nutricional”, evidenciando que a rotulagem utilizada no Brasil apresentou resultados mais positivos de compreensão. Os resultados do estudo indicam que um número relevante de adolescentes (63%) compreende os componentes nutricionais presentes nos rótulos de alimentos brasileiros e um número significativo de indivíduos compreendeu e identificou a informação nutricional mais saudável descritas nos rótulos; no entanto, sugere-se o desenvolvimento de programas de educação nutricional para potencializar a compreensão das informações nutricionais contidas nos rótulos para este perfil de consumidor.
This paper aims at evaluating the understanding of graphical representation of nutritional information on food labels by young adolescent students. Therefore, it was carried out a cross-sectional study with 56 young adolescent students (n = 56), aged between 15 and 17 years, enrolled in a private school in Porto Alegre / RS. A specific questionnaire containing nine dichotomous and multiple choice closed questions was used for data gathering. The results showed that 41% of young adolescent students usually read the labels before purchasing, 71% of them claim to know the meaning of the energetic value of food, 63% say they understand the information written on the labels, and 61 % trust the information written on food packages. Most adolescents understand the nutritional components present on the labels of Brazilian foods, and only 45% understood the nutrition information on the Traffic Light labelling system, showing that the labels used in Brazil are better understood. The results indicate that a meaningful number of adolescents (63%) understands the nutritional components on the labels of Brazilian food, and a meaningful number of individuals understood and identified the healthiest nutritional information given on labels; however, it is suggested the development of nutrition education programs to enhance the understanding of the nutritional information on the labels for this consumer profile.
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Weng, Shih-Han, and 翁詩涵. "Process Evaluation of Traffic-Light Food Label Intervention in Restaurant of a Research Institute." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/15317538477283009498.

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碩士
國立陽明大學
公共衛生研究所
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Abstract Objectives To evaluate the process of “Traffic-Light Food Label Intervention,” in the cafeteria of a research institute in Taiwan. This process evaluation aimed at (1) customers’ notice, utilization and evaluation to traffic-light food labels, (2) factors that affected customers’ notice, utilization and evaluation to traffic-light food labels, and (3) the degree of implementation of the intervention. Method “Traffic-Light Food Label Intervention” provided health education and direct ques of foods’ health quality in the cafeteria. Two cross-sectional surveys were carried out to assess customers’ notice, utilization and evaluation to the intervention. The two surveys were taken place during lunch time on 2014/7/11, 7/14, 7/15 and 2015/4/24, 4/27, 4/28, respectively. Besides, the survey was done in the cafeteria, and participants were workers having lunch between 11:30 and 13:00. There are 275 and 205 participants in the first and second survey. The data analyses were chi-square test and multiple logistic regression. Results In two surveys, 96% and 92% of the customers’ noticed education information and traffic-light food labels, respectively. The utilization rate of traffic-light food labels of the second survey (50%) was higher than the first survey (38%). Customers in both surveys gave the traffic-light food labels positive evaluation. Customers who agreed that the restaurant provided sufficient food choices would have greater odds to gave positive evaluation to the traffic-ligh food labels (OR=4.05, 95% CI: 2.31~7.13). Regarding food quality, the cafeteria irregularly provided green light main course on the days of the first survey. The Employee Food Committee requested the cafeteria to provide at least one green light main course during all the lunch time, after they received the results of the first survey. Later, on the days of the second survey, the cafeteria followed the request and provided green light main course in lunchtime. However, the mislabeling of traffic-light food labels needed to be improved. Conclusion Popularizing traffic-light food labels could make most customers notice and be willing to utilize traffic-light food labels information to choose healthy food. Our study shows that the customers gave the traffic-light food labels positive evaluation. Moreover, traffic-light food labels might increase the proportion of choosing green light food and decrease the proportion of choosing red light food after the labeling. Therefore, “Traffic-Light Food Label Intervention” is a feasible strategy to improve healthy eating in Taiwan.
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Book chapters on the topic "Multiple Traffic Light label"

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Wilbrink, Marc, and Michael Oehl. "The More the Better? Comparison of Different On-Board HMI Communication Strategies for Highly Automated Vehicles Using a LED Light-Band to Inform Passengers About Safe Interactions with Multiple Surrounding Traffic Participants." In Communications in Computer and Information Science, 441–48. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-19682-9_56.

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Datta, Debasish. "Optical Network Control and Management." In Optical Networks, 457–90. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198834229.003.0012.

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The task of network control and management is generally realized in two logical planes – control and management – which collaboratively operate to ensure smooth, secure, and survivable traffic flow in the data plane of the network. Some of the functionalities are realized in the control plane, needing real-time execution, such as recovery from network failures, and network reconfiguration due to traffic variation. Other functionalities deal with performance monitoring, configuration management, network security, accounting and billing etc., which are less time-sensitive and are addressed by the management plane. We first discuss the philosophy of multiple-layer abstraction of telecommunication networks, including control, management, and data planes, and then describe various network control and management techniques used in optical networks: operation, administration, and management (OAM) in SONET, generalized multiprotocol label switching (GMPLS), automatically switched optical network (ASON), and software-defined optical networking (SDON) in WDM networks. (141 words)
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Tsiropoulou, Eirini Eleni, Panagiotis Vamvakas, and Symeon Papavassiliou. "Resource Allocation in Multi-Tier Femtocell and Visible-Light Heterogeneous Wireless Networks." In Advances in Wireless Technologies and Telecommunication, 210–46. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-2023-8.ch010.

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The increasing demand in mobile data traffic, data hungry services and high QoS prerequisites have led to the design of advanced multi-tier heterogeneous cellular networks. In this chapter, a multi-tier heterogeneous wireless network is examined consisting of the macrocell, multiple femtocells and multiple Visible Light Communication (VLC) cells. Distributed resource allocation approaches in two-tier femtocells are presented focusing on (a) power allocation and interference management, (b) joint power and rate allocation, and (c) resource allocation and pricing policies. Similarly, the most prominent resource allocation approaches in two-tier VLC cells are examined, including (a) user association and adaptive bandwidth allocation, (b) joint bandwidth and power allocation, and (c) interference bounded resource blocks allocation and power control. The resource allocation problem in the two-tier heterogeneous environment where both femtocells and VLC-LANs are simultaneously present is also discussed. Finally, detailed future directions and comprehensive conclusions are provided.
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Conference papers on the topic "Multiple Traffic Light label"

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Jang, Chulhoon, Chansoo Kim, Dongchul Kim, Minchae Lee, and Myoungho Sunwoo. "Multiple exposure images based traffic light recognition." In 2014 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2014. http://dx.doi.org/10.1109/ivs.2014.6856541.

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Tang, Yang, Shuang Chen, Honggang Zhang, Gang Wang, and Rui Yang. "MRP-Net: A Light Multiple Region Perception Neural Network for Multi-label AU Detection." In 2020 25th International Conference on Pattern Recognition (ICPR). IEEE, 2021. http://dx.doi.org/10.1109/icpr48806.2021.9412515.

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Zhou, Binbin, Jiannong Cao, and Hejun Wu. "Adaptive Traffic Light Control of Multiple Intersections in WSN-Based ITS." In 2011 IEEE Vehicular Technology Conference (VTC 2011-Spring). IEEE, 2011. http://dx.doi.org/10.1109/vetecs.2011.5956434.

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Liu, Shanshan, Linyan Xie, Yan Yang, Xu Qiao, Kun Song, Beihua Kong, and Xuantao Su. "Label-free analysis of single and multiple cells with a 2D light scattering static cytometer." In SPIE BiOS, edited by Daniel L. Farkas, Dan V. Nicolau, and Robert C. Leif. SPIE, 2015. http://dx.doi.org/10.1117/12.2080519.

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Joyo, Ambteen, Kaziq Yaqub, and Nicholas Madamopoulos. "Managing traffic-light-duration by exploiting smart antenna technology (MATSAT) for coordinated multiple-intersections (CMI)." In 2015 International Conference on Emerging Technologies (ICET). IEEE, 2015. http://dx.doi.org/10.1109/icet.2015.7389226.

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S.A.C, Madhusanka, Rathnayake K.K.H.M, and Mahaliyanaarachchi R. P. "Impact of Traffic Light Food Labelling on Consumer Awareness of Health and Healthy Choices of the Pointof-Purchase." In 2nd International Conference on Agriculture, Food Security and Safety. iConferences (Pvt) Ltd, 2021. http://dx.doi.org/10.32789/agrofood.2021.1001.

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Sri Lanka introduced colour coding for sugar, salt & fat regulations, which was enforced from the 1st of June 2019. It is the latest food labelling regulation in Sri Lanka. Over the years of consumer studies, even though few studies have studied the impact of food labels on consumer purchase decisions, there is not enough evidence on traffic light food labelling system and its impact on health and healthy choices of the point-of-purchase. Hence, this research study on the impact of colour coding regulation on consumer’s buying decisions with special reference to Western Province, Sri Lanka. The purpose of this research was to study the influence of colour code label system on consumer’s buying decisions and analyse the consumer’s knowledge of the traffic light food labelling system. A purposely developed online questionnaire was administered to 200 randomly selected samples in Western Province in Sri Lanka. The questionnaire had three separate parts. The first part of the questionnaire sought information on the socio-demographic profile of the respondent. The second part had few questions on basic knowledge and behavioural aspect of traffic light food labelling system. The third part of the questionnaire was questioned about further improvements in the traffic light food label from the consumers’ perspective. IBM SPSS version 21 software was used for analysing collected data with frequency analysis and Friedman test. Results revealed that most of the consumers refer to the price label instead of other labels. Also, they are not giving special attention to traffic light food labels at the point-of-purchase. Among the consumers who considered traffic light food labelling system at the point-of-purchase, most respondents had a clear idea about different colour codes and would like to consume food products with a low level of sugar, salt, and fat. Further, a fair number of respondents suggested enlarging the size of the existing colour codes of the traffic light food labelling system. Based on the results obtained, it can be observed that still Sri Lankan consumers are not significantly considered traffic light food labels at the point-of-purchase, and they are limited to seek the price tag at the point-of-purchase. Further, the findings of this study will act as a guide for food regulators when assessing the outcome of the new food labelling regulation of Sri Lanka.
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Saedi, Kazem, and Amir Hossein Mohajcrzadeh. "Designing a Light-Weighted Multi-Class and Novel Multiple Logical Fuzzy Controller to Manage Intelligent Urban Traffic." In 2018 8th International Conference on Computer and Knowledge Engineering (ICCKE). IEEE, 2018. http://dx.doi.org/10.1109/iccke.2018.8566565.

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Sucianti, Ainy. "The Effect of Front-of-Package Traffic Light (FoPTL) Nutrition Label Design on the Acceptability and Understanding of Nutrition Labels for Hypertension Patients." In The International Conference on Public Health and Well-being. iConferences, 2019. http://dx.doi.org/10.32789/publichealth.2019.1004.

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Racila, Laurentiu. "Saturation flow mathematical model based on multiple combinations of lane groups." In CIT2016. Congreso de Ingeniería del Transporte. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/cit2016.2016.4254.

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The ideal value of the traffic stream that can pass through an intersection is known as the saturation flow rate per hour on vehicle green time. The saturation flow is important in the understanding of the traffic light cycle and from there the understanding the Level of Service. The paper wishes to evaluate through a series of applied mathematical methods the effect of different lane grouping and critical lane group concept on the saturation flow rate. The importance of this method is that it creates a base for a signalized intersections timing plan.DOI: http://dx.doi.org/10.4995/CIT2016.2016.4254
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Xing, Dong, Qian Zheng, Qianhui Liu, and Gang Pan. "TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/555.

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Recent advances in deep reinforcement learning (DRL) have largely promoted the performance of adaptive traffic signal control (ATSC). Nevertheless, regarding the implementation, most works are cumbersome in terms of storage and computation. This hinders their deployment on scenarios where resources are limited. In this work, we propose TinyLight, the first DRL-based ATSC model that is designed for devices with extremely limited resources. TinyLight first constructs a super-graph to associate a rich set of candidate features with a group of light-weighted network blocks. Then, to diminish the model's resource consumption, we ablate edges in the super-graph automatically with a novel entropy-minimized objective function. This enables TinyLight to work on a standalone microcontroller with merely 2KB RAM and 32KB ROM. We evaluate TinyLight on multiple road networks with real-world traffic demands. Experiments show that even with extremely limited resources, TinyLight still achieves competitive performance. The source code and appendix of this work can be found at https://bit.ly/38hH8t8.
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Reports on the topic "Multiple Traffic Light label"

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Cheng, Wen, Yongping Zhang, and Edward Clay. Comprehensive Performance Assessment of Passive Crowdsourcing for Counting Pedestrians and Bikes. Mineta Transportation Institute, February 2022. http://dx.doi.org/10.31979/mti.2022.2025.

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Individuals who walk and cycle experience a variety of health and economic benefits while simultaneously benefiting their local environments and communities. It is essential to correctly obtain pedestrian and bicyclist counts for better design and planning of active transportation-related facilities. In recent years, crowdsourcing has seen a rise in popularity due to the multiple advantages relative to traditional methods. Nevertheless, crowdsourced data have been applied in fewer studies, and their reliability and performance relative to other conventional methods are rarely documented. To this end, this research examines the consistency between crowdsourced and traditionally collected count data. Additionally, the research aims to develop the adjustment factor between the crowdsourced and permanent counter data and to estimate the annual average daily traffic (AADT) data based on hourly volume and other predictor variables such as time, day, weather, land use, and facility type. With some caveats, the results demonstrate that the Street Light crowdsourcing count data for pedestrians and bicyclists appear to be a promising alternative to the permanent counters.
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