Relevant bibliographies by topics / Traffic Lights (TL)

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  1. Journal articles
  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Traffic Lights (TL)'

Author: Grafiati
Published: 4 June 2025
Last updated: 1 August 2025

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

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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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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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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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9

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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Dissertations / Theses on the topic "Traffic Lights (TL)"

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Xia, Binyan. "How to Present Statistical Comparisons between Swedish Hospitals and Counties." Thesis, Uppsala universitet, Statistiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-154805.

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Background The Swedish Association of local authorities and regions in collaboration with the national board of health and welfare produces the yearly “Swedish Health Care Report” in order to provide evaluations of the hospitals and counties in Sweden for both the politicians and the general public. Method We describe several standard methods which have been used to present the performance of each hospital or county: Forest plot (FL), League Table (LT), League Plot (LP) and Funnel Plot (FP). Using simulation technique to produce the League Plot of rank is also presented in order to illustrate
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Conference papers on the topic "Traffic Lights (TL)"

1

Janosovits, Johannes. "Cityscapes TL++: Semantic Traffic Light Annotations for the Cityscapes Dataset." In 2022 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2022. http://dx.doi.org/10.1109/icra46639.2022.9812144.

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Journal articles
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