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Journal articles on the topic 'Traffic Lights (TL)'

Author: Grafiati

Published: 4 June 2025

Last updated: 1 August 2025

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1

Aswathy, Madhu, and S. Sruthy. "Traffic Light Detection and Recognition for Self Driving Cars using Deep Learning Survey." International Journal of Trend in Scientific Research and Development 4, no. 2 (2020): 624–27. https://doi.org/10.5281/zenodo.3842837.

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Self driving cars has the potential to revolutionize urban mobility by providing sustainable, safe, and convenient and congestion free transportability. Autonomous driving vehicles have become a trend in the vehicle industry. Many driver assistance systems DAS have been presented to support these automatic cars. This vehicle autonomy as an application of AI has several challenges like infallibly recognizing traffic lights, signs, unclear lane markings, pedestrians, etc. These problems can be overcome by using the technological development in the fields of Deep Learning, Computer Vision due to

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2

REID, KEN. "Strategic Approaches to Tackling School Absenteeism and Truancy: The traffic lights (TL) scheme." Educational Review 55, no. 3 (2003): 305–21. http://dx.doi.org/10.1080/0013191032000118956.

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3

Mecocci, Alessandro, and Claudio Grassi. "RTAIAED: A Real-Time Ambulance in an Emergency Detector with a Pyramidal Part-Based Model Composed of MFCCs and YOLOv8." Sensors 24, no. 7 (2024): 2321. http://dx.doi.org/10.3390/s24072321.

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In emergency situations, every second counts for an ambulance navigating through traffic. Efficient use of traffic light systems can play a crucial role in minimizing response time. This paper introduces a novel automated Real-Time Ambulance in an Emergency Detector (RTAIAED). The proposed system uses special Lookout Stations (LSs) suitably positioned at a certain distance from each involved traffic light (TL), to obtain timely and safe transitions to green lights as the Ambulance in an Emergency (AIAE) approaches. The foundation of the proposed system is built on the simultaneous processing o

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Hodgkins, Charo E., Monique M. Raats, Chris Fife-Schaw, et al. "Guiding healthier food choice: systematic comparison of four front-of-pack labelling systems and their effect on judgements of product healthiness." British Journal of Nutrition 113, no. 10 (2015): 1652–63. http://dx.doi.org/10.1017/s0007114515000264.

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Different front-of-pack (FOP) labelling systems have been developed in Europe by industry and organisations concerned with health promotion. A study (n 2068) was performed to establish the extent to which inclusion of the most prevalent FOP systems – guideline daily amounts (GDA), traffic lights (TL), GDA+TL hybrid (HYB) and health logos (HL) – impact consumer perceptions of healthiness over and above the provision of a FOP basic label (BL) containing numerical nutritional information alone. The design included within- and between-subjects factors. The within-subjects factors were: food (pizza

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Weikl, Korbinian, Damien Schroeder, and Walter Stechele. "Optimization of automotive color filter arrays for traffic light color separation." Color and Imaging Conference 2020, no. 28 (2020): 288–92. http://dx.doi.org/10.2352/issn.2169-2629.2020.28.46.

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Traffic light (TL) classification is an important feature for automated driving, and it requires correct color separation of the TL signals captured using cameras. A key camera component for the color separation performance is the color filter array (CFA). For common automotive-specific CFAs, we have observed unsatisfactory performance for TL color separation, which indicates the need for an optimization. Based on typical scenarios for TL classification and a set of recorded TL signals, we evaluate the performance of common automotive CFAs. For a quantitative evaluation, we propose a suitable

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Liberati, Francesco. "Model Predictive Control of a Road Junction." Smart Cities 3, no. 3 (2020): 806–17. http://dx.doi.org/10.3390/smartcities3030041.

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This paper presents a model predictive control (MPC) approach for optimally managing the traffic light (TL) signals at a road junction. The objective is to improve queue balancing compared to traditional control strategies where TL signals are periodic. The resulting MPC optimization problem is of quadratic mixed-integer nature. The proposed approach is validated via simulations based on a real scenario.

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Lim, Wee Sheng, Ahmad Fakhri Ab. Nasir, Mohd Azraai Mohd Razman, Anwar P. P. Abdul Majeed, Nur Shazwani Kamarudin, and M. Zulfahmi Toh. "Traffic Sign Classification Using Transfer Learning: An Investigation of Feature-Combining Model." MEKATRONIKA 3, no. 2 (2021): 37–41. http://dx.doi.org/10.15282/mekatronika.v3i2.7346.

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The traffic sign classification system is a technology to help drivers to recognise the traffic sign hence reducing the accident. Many types of learning models have been applied to this technology recently. However, the deployment of learning models is unknown and shown to be non-trivial towards image classification and object detection. The implementation of Transfer Learning (TL) has been demonstrated to be a powerful tool in the extraction of essential features as well as can save lots of training time. Besides, the feature-combining model exhibited great performance in the TL method in man

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8

Gütl, Christian. "Editorial." JUCS - Journal of Universal Computer Science 30, no. 5 (2024): 561–62. http://dx.doi.org/10.3897/jucs.127994.

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Dear Readers, I am very happy to announce the fifth regular issue of 2024. In this issue, 7 articles by 21 authors from 8 countries (Austria, Brazil, France, India, Iran, Morocco, Pakistan, and Turkey) cover a variety of topical research aspects in computer science. Allow me to express my appreciation to all authors for their sound research and to the editorial board and guest reviewers for the highly valuable reviews and comments for improvement. This continuous stream of relevant and novel contributions, along with the generous support of the consortium members, sustains the quality of our j

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Gütl, Christian. "Editorial." JUCS - Journal of Universal Computer Science 30, no. (5) (2024): 561–62. https://doi.org/10.3897/jucs.127994.

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Dear Readers, I am very happy to announce the fifth regular issue of 2024. In this issue, 7 articles by 21 authors from 8 countries (Austria, Brazil, France, India, Iran, Morocco, Pakistan, and Turkey) cover a variety of topical research aspects in computer science. Allow me to express my appreciation to all authors for their sound research and to the editorial board and guest reviewers for the highly valuable reviews and comments for improvement. This continuous stream of relevant and novel contributions, along with the generous support of the consortium members, sustains the quality of our j

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10

Morales-Avilez, Diana, Carlos Cruz-Casarrubias, Lizbeth Tolentino-Mayo, Lorena Encalada-Torres, and Victoria Abril-Ulloa. "Evaluation of the Accurateness of the Nutritional Labels of Processed and Ultra-Processed Products Available in Supermarkets of Ecuador." Nutrients 12, no. 11 (2020): 3481. http://dx.doi.org/10.3390/nu12113481.

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Nutrition labeling is a public health tool that allows consumers to choose healthier foods and beverages. For this reason, there are protocols in place to monitor the food environment. The purpose of this study was to evaluate the consistency of nutrition labeling on packages for processed and ultra-processed products (UPPs) found at the main supermarkets in Cuenca, Ecuador. We conducted a descriptive cross-sectional study in which we identified label components on the packages of 1725 foods and beverages—including the nutrition table, statement on sweeteners, ingredient list, and the traffic

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11

Pathmanandavel, Sarennya, Megan Crumbaker, Andrew O. Yam, et al. "Quantifying molecular imaging patterns of treatment response or progression using a novel traffic light workflow within a prospective phase I/II trial of ¹⁷⁷LuPSMA-617 and NOX66 (LuPIN)." Journal of Clinical Oncology 40, no. 6_suppl (2022): 166. http://dx.doi.org/10.1200/jco.2022.40.6_suppl.166.

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166 Background: 177Lutetium PSMA-617 (LuPSMA) is an effective therapy for metastatic castrate-resistant prostate cancer (mCRPC). However, treatment resistance may occur. We developed a quantitative workflow for serial PSMA PET/CT to optimise predictive and prognostic imaging biomarker capability for progression free (PFS) and overall survival (OS). Methods: 56 men with mCRPC previously treated with taxane chemotherapy and androgen signaling inhibitor were enrolled, receiving up to 6 doses of LuPSMA and a radiation sensitizer idronoxil (NOX66). 68Ga-PSMA-11 PET/CT was performed at study entry a

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12

Goodman, Samantha, David Hammond, Rhona Hanning, and Judy Sheeshka. "The impact of adding front-of-package sodium content labels to grocery products: an experimental study." Public Health Nutrition 16, no. 3 (2012): 383–91. http://dx.doi.org/10.1017/s1368980012003485.

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AbstractObjectiveCanadians consume approximately twice the daily Adequate Intake of sodium. The present study examined the efficacy of four types of front-of-package (FOP) sodium labels at influencing consumers’ selection of products low v. high in sodium.DesignParticipants were randomly assigned to one of five experimental conditions: (i) control condition with no FOP label; (ii) basic numeric FOP label; (iii) numeric FOP label with ‘high’ and ‘low’ sodium content descriptors; (iv) detailed Traffic Light (TL) label with colour coding, content descriptors and numeric information; and (v) simpl

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13

Rincon Gallardo Patino, Sofia, Ángela Carriedo, Lizbeth Tolentino-Mayo, et al. "Front-of-pack warning labels are preferred by parents with low education level in four Latin American countries." World Nutrition 10, no. 4 (2019): 11–26. http://dx.doi.org/10.26596/wn.201910411-26.

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Background: Overweight and obesity rates in Latin America are much higher than the global prevalence. Front-of-pack (FOP) nutrition label systems are gaining momentum in Latin America and being implemented as a strategy to tackle obesity among children and adults. This study investigates the usage and preference of three FOP nutrition labels among Argentinian, Chilean, Costa Rican, and Mexican adult parents. Methods: From March to May 2016, a questionnaire was administered to 966 parents of elementary school aged children in Argentina (89), Chile (304), Costa Rica (258) and Mexico (315).

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Harris, Rebecca, Christopher Vernazza, Louise Laverty, et al. "Presenting patients with information on their oral health risk: the PREFER three-arm RCT and ethnography." Health Services and Delivery Research 8, no. 3 (2020): 1–126. http://dx.doi.org/10.3310/hsdr08030.

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Background A new NHS dental practice contract is being tested using a traffic light (TL) system that categorises patients as being at red (high), amber (medium) or green (low) risk of poor oral health. This is intended to increase the emphasis on preventative dentistry, including giving advice on ways patients can improve their oral health. Quantitative Light-Induced Fluorescence (QLF™) cameras (Inspektor Research Systems BV, Amsterdam, the Netherlands) also potentially offer a vivid portrayal of information on patients’ oral health. Methods Systematic review – objective: to investigate how pa

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15

Al-Ezaly, Esraa, Hazem M. El-Bakry, Ahmed Abo-Elfetoh, and Sara Elhishi. "An innovative traffic light recognition method using vehicular ad-hoc networks." Scientific Reports 13, no. 1 (2023). http://dx.doi.org/10.1038/s41598-023-31107-8.

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AbstractCar congestion is a pressing issue for everyone on the planet. Car congestion can be caused by accidents, traffic lights, rapid accelerations, deceleration, and hesitation of drivers, as well as a small low-carrying capacity road without bridges. Increasing road width and constructing roundabouts and bridges are solutions to car congestion, but the cost is significant. TLR (traffic light recognition) reduces accidents and traffic congestion caused by traffic lights (TLs). Image processing with convolutional neural network (CNN) lakes dealing with harsh weather. A semi-automatic annotat

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16

Cabrera, Tania, Carlos E. Carpio, Oscar Sarasty, Susan E. Watson, and María-Susana Gonzalez. "Traffic light nutrition labeling preferences among children." Agricultural and Food Economics 11, no. 1 (2023). http://dx.doi.org/10.1186/s40100-023-00280-9.

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Abstract Objective This study evaluates the effects of traffic light (TL) nutritional label attributes on children’s food choices. Data were collected from a survey of 1179 Ecuadorian students attending public middle and high school in three major cities in the country’s southern region (Machala, Loja, and Zamora). The survey instrument included two sets of choice experiments: one with yogurt products and the other with soft drinks (sodas and juices). In the choice scenarios, children were presented with two products that differed in price and the TL label colors for sugar, salt, and fat. Chil

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17

Yao, Zikai, Qiang Liu, Qian Xie, and Qing Li. "TL-Detector: Lightweight Based Real-Time Traffic Light Detection Model for Intelligent Vehicles." IEEE Transactions on Intelligent Transportation Systems, 2023, 1–15. http://dx.doi.org/10.1109/tits.2023.3267430.

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18

Esfandiari, Zahra, Maryam Mirlohi, Jila M. Tanha, et al. "Effect of Face-to-Face Education on Knowledge, Attitudes, and Practices Toward “Traffic Light” Food Labeling in Isfahan Society, Iran." International Quarterly of Community Health Education, April 6, 2020, 0272684X2091661. http://dx.doi.org/10.1177/0272684x20916612.

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Emerging noncommunicable diseases (NCDs) with premature mortality are one of the major concerns in health supervising organizations of the world. High intake of energy, salt, sugar, fat, and trans fatty acids are introduced as dietary risk factors of NCDs. The status of food risk factors is presented in Traffic Light (TL) food labeling through colors of red, yellow, and green as the signs of stop, wait and watch and go, respectively. This stepwise interventional study examined whether TL education can result in choosing healthier food via assessing the impact of face-to-face educational sessio

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19

Harris, R., V. Lowers, L. Laverty, et al. "Comparing how patients value and respond to information on risk given in three different forms during dental check-ups: the PREFER randomised controlled trial." Trials 21, no. 1 (2020). http://dx.doi.org/10.1186/s13063-019-3824-3.

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Abstract Background This study aims to compare patient preference for, and subsequent change in, oral health behaviour for three forms of risk information given at dental check-ups (verbal advice compared to verbal advice accompanied by a traffic light (TL) risk card; or compared to verbal advice with a quantitative light fluorescence (QLF) photograph of the patient’s mouth). Methods A multi-centre, parallel-group, patient-randomised clinical trial was undertaken between August 2015 and September 2016. Computer-generated random numbers using block stratification allocated patients to three arm

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20

Villacis, Alexis, Carlos E. Carpio, Tullaya Boonsaeng, Tania Cabrera, and Rafael Alvarado. "Labels, taxes, and food reformulation: A tale of sugar in carbonated soft drinks in Ecuador." International Food and Agribusiness Management Review, December 12, 2023, 1–16. http://dx.doi.org/10.22434/ifamr2023.0027.

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Abstract The prevalence of obesity has increased significantly worldwide, including in low- and middle-income countries. In Ecuador, a middle-income country, the government has implemented two policies to improve the quality of its population’s diet: (1) a traffic-light (TL) nutritional labeling requirement for processed foods and (2) a special tax scheme for drinks with a high sugar content (HSC). This study examines changes in carbonated soft drink (CSD) sugar formulation and its associated impacts on sugar consumption after the implementation of these two policies. Sugar content in soft dri

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21

Ogundijo, Daniel A., Ayten A. Tas, and Bukola A. Onarinde. "Exploring the perception of small and medium food enterprises in Lincolnshire, UK on the use of front‐of‐pack nutrition labels by consumers." International Journal of Food Science & Technology, April 25, 2024. http://dx.doi.org/10.1111/ijfs.17166.

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SummaryThe food and drink industry is the UK's largest manufacturing sector, and small to medium‐sized enterprises (SMEs) play a key role in the UK's food system. This study investigates food‐providing SMEs' knowledge of nutrition labels and perceptions of the use of front‐of‐pack nutrition labels in making informed and healthy food choices by consumers. The SMEs were based in Lincolnshire, UK, and comprised food manufacturers (75%), food retailers (14%) and food service providers (11%) (n = 35). A 25‐item questionnaire was developed and validated to collect responses. The questionnaire link w

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