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Letteratura scientifica selezionata sul tema "Traffic lights"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Traffic lights"

1

Gregory, Richard L. "Traffic Lights." Perception 21, no. 4 (1992): 423–26. http://dx.doi.org/10.1068/p210423.

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2

Jung, Frank. "Traffic Lights." ATZ worldwide 126, no. 7-8 (2024): 3. http://dx.doi.org/10.1007/s38311-024-1953-0.

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3

Ashir, Mohammed, and Karl Marlowe. "Traffic Lights." Clinical Governance: An International Journal 14, no. 3 (2009): 226–35. http://dx.doi.org/10.1108/14777270910976166.

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4

Hosseinyalmdary, S., and A. Yilmaz. "TRAFFIC LIGHT DETECTION USING CONIC SECTION GEOMETRY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 2, 2016): 191–200. http://dx.doi.org/10.5194/isprsannals-iii-1-191-2016.

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Traffic lights detection and their state recognition is a crucial task that autonomous vehicles must reliably fulfill. Despite scientific endeavors, it still is an open problem due to the variations of traffic lights and their perception in image form. Unlike previous studies, this paper investigates the use of inaccurate and publicly available GIS databases such as OpenStreetMap. In addition, we are the first to exploit conic section geometry to improve the shape cue of the traffic lights in images. Conic section also enables us to estimate the pose of the traffic lights with respect to the c

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Hosseinyalmdary, S., and A. Yilmaz. "TRAFFIC LIGHT DETECTION USING CONIC SECTION GEOMETRY." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-1 (June 2, 2016): 191–200. http://dx.doi.org/10.5194/isprs-annals-iii-1-191-2016.

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Abstract (sommario):

Traffic lights detection and their state recognition is a crucial task that autonomous vehicles must reliably fulfill. Despite scientific endeavors, it still is an open problem due to the variations of traffic lights and their perception in image form. Unlike previous studies, this paper investigates the use of inaccurate and publicly available GIS databases such as OpenStreetMap. In addition, we are the first to exploit conic section geometry to improve the shape cue of the traffic lights in images. Conic section also enables us to estimate the pose of the traffic lights with respect to the c

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6

Lu, Xingyu, Li Fei, Huibing Zhu, Wangjun Cheng, and Zijie Wang. "Modeling traffic flow in work zone sections considering the effect of traffic lights." International Journal of Modern Physics C 32, no. 09 (2021): 2150113. http://dx.doi.org/10.1142/s0129183121501138.

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Based on the two-lane highway traffic model with a work zone presented previously, a new traffic model with a work zone under the control of traffic lights is proposed. The length of the waiting area for vehicles before traffic lights is recommended cautiously after numerical simulation. The relationship between the vehicles’ queuing time and the cycle of traffic lights is studied, and the cycle time of traffic lights is obtained also considering people’s endurance to the red light. It is found that the traffic lights are effective to ease the traffic congestion in the work zone when the densi

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Yeh, Tien-Wen, Huei-Yung Lin, and Chin-Chen Chang. "Traffic Light and Arrow Signal Recognition Based on a Unified Network." Applied Sciences 11, no. 17 (2021): 8066. http://dx.doi.org/10.3390/app11178066.

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We present a traffic light detection and recognition approach for traffic lights that utilizes convolutional neural networks. We also introduce a technique for identifying arrow signal lights in multiple urban traffic environments. For detection, we use map data and two different focal length cameras for traffic light detection at various distances. For recognition, we propose a new algorithm that combines object detection and classification to recognize the light state classes of traffic lights. Furthermore, we use a unified network by sharing features to decrease computation time. The result

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8

Kawai, Satoru. "Road Traffic Lights." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 71, no. 3 (1987): 204–9. http://dx.doi.org/10.2150/jieij1980.71.3_204.

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9

Sinha, Roopak, Partha S. Roop, and Prakash Ranjitkar. "Virtual Traffic Lights+." Transportation Research Record: Journal of the Transportation Research Board 2381, no. 1 (2013): 73–80. http://dx.doi.org/10.3141/2381-09.

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Calabresi, Paolo, and Massimiliano Di Filippo. "Brain's traffic lights." Nature 466, no. 7305 (2010): 449. http://dx.doi.org/10.1038/466449a.

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Tesi sul tema "Traffic lights"

1

Spiropoulou, Ioanna. "Modelling blocking back at traffic lights." Thesis, University College London (University of London), 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.413153.

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2

Thorin, Kristoffer. "Optimal Speed Controller in the Presence of Traffic Lights." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-325352.

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This report presents an approach on how to utilize information on future states of traffic lights to reduce the energy consumption and trip time for a Heavy Duty Vehicle. Model Predictive Control is proposed as a solution to handle the optimisation on-line and the concept is tested for various prediction horizons in which information can be received. Further on, it is investigated if the implemented controller is robust enough to execute the same task in a scenario where only the current state is known and future states are predicted. Comparison with a reference vehicle demonstrates improved f

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3

Musolino, Antonino Francesco. "Traffic light policies for low penetration rate of monitoring devices." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2014. http://amslaurea.unibo.it/8008/.

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La gestione del traffico è una delle principali problematiche delle città moderne, e porta alla definizione di nuove sfide per quanto riguarda l’ottimizzazione del flusso veicolare. Il controllo semaforico è uno degli elementi fondamentali per ottimizzare la gestione del traffico. Attualmente la rilevazione del traffico viene effettuata tramite sensori, tra i quali vengono maggiormente utilizzate le spire magnetiche, la cui installazione e gestione implica costi elevati. In questo contesto, il progetto europeo COLOMBO si pone come obiettivo l’ideazione di nuovi sistemi di regolazione semafo

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4

Rivera, Saavedra Gabriel, and Ochochoque Luis Alberto Velásquez. "Propuesta de implementación de un sistema de semaforización inteligente para mejorar los niveles de servicio de la Av. Javier Prado Oeste, tramo Ca. Las Palmeras y Ca. Las Flores en el distrito de San Isidro." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2020. http://hdl.handle.net/10757/651707.

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La presente investigación analiza las condiciones de tráfico vehicular actual en dos intersecciones de la avenida Javier Prado Oeste, tramo Calle Las Flores & Calle Las Palmeras, en el distrito de San Isidro. La investigación empieza con la descripción de los problemas existentes en las intersecciones, como la deficiente programación de semáforos, falta de semáforos coordinados e incompatibilidad entre controladores semafóricos. El análisis de la investigación se realizó en base a un modelo microscópico, desarrollado con apoyo del software Vissim. El proceso de construcción de ambos modelos

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Grandinetti, Pietro. "Control of large scale traffic network." Thesis, Université Grenoble Alpes (ComUE), 2017. http://www.theses.fr/2017GREAT102/document.

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La thèse concerne le contrôle de feux tricolores dans de larges réseaux urbains. Le point de départ est l’étude d’un modèle macroscopique se basant sur le Cell Transmission model. Nous avons formulé une version du modèle intégrant les feux tricolores à sa dynamique. De plus, nous avons introduit deux simplifications à ce modèle orientées vers la conception des techniques de contrôle ; la première se base sur la théorie de la moyenne et considère le pourcentage de vert des feux tricolores, la seconde décrit les trajectoires des feux tricolores en utilisant les instants d’activation et de désact

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6

Al-Mojel, A. H. S. "The effect of geometric design on the capacity of isolated highway traffic signal approaches." Thesis, University of Bradford, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.378110.

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Torrez, Lorenzo I. "Motorcycle conspicuity the effects of age and vehicular daytime running lights /." Orlando, Fla. : University of Central Florida, 2008. http://purl.fcla.edu/fcla/etd/CFE0002016.

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Matus, Manuel A. Mr. "Experimental Investigation of Wind-induced Response of Span-wire Traffic Signal Systems." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3655.

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The purpose of this investigation was to identify key design parameters that might significantly affect the response of span wire traffic light systems during extreme wind events. The performance of these systems was assessed through physical testing in an effort to quantify the effect of sag ratio, wire tension and wire clearance. The Wall of Wind experimental facility at Florida International University was utilized for testing the systems at different wind speeds and wind directions. The findings showed that, at all tested wind directions, lift, drag and tension forces increased with increa

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De, Nunzio Giovanni. "Traffic eco-management in urban traffic networks." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAT064/document.

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Le problème de la gestion éco-responsable du trafic urbain est adressé. Ce type de gestion du trafic vise à réduire les arrêts des véhicules, les accélérations, la consommation énergétique, ainsi que la congestion. L'éco-management du trafic dans les réseaux urbains peut être catégorisé dans deux classes principales : contrôle du véhicule et contrôle de l'infrastructure. Les deux domaines de contrôle peuvent présenter caractéristiques soit isolées soit coordonnées, en dépendant du type d'information utilisée dans l'optimisation.La gestion du trafic côté véhicule influe sur chaque véhicule en f

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Papamarkos, Periandros. "Measuring Complexity of Built Environments : The impact of traffic lights and load of traffic levels on how drivers perceive stress." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-287369.

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To understand which factors affect the perception of stress while driving is interesting since it would help us to get closer to comprehending how the street network design can avoid putting stress on the drivers. Earlier research has measured drivers’ perception of safety under different street conditions by using video clips of real street environments. This study, that is carried out in cooperation with ITRL and it forms part of the MERGEN project, aims to introduce HCI techniques in order to prove that these techniques can bring valuable and credible results when substituting the conventio

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Libri sul tema "Traffic lights"

1

Wroe, Georgina. White meat and traffic lights. Review, 2002.

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2

Owen, Philip. Adaptive control of traffic lights. University of Manchester, Department of Computer Science, 1997.

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3

California. Legislature. Senate. Committee on Privacy. Informational hearing, red lights and traffic cameras. Senate Publications, 2001.

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4

Harriman, Susan. Carrots, kites and traffic lights: Upper primary technology. Curriculum Corporation, 1996.

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5

Baguley, C. J. Behavioural assessment of speed discrimination at traffic lights. Transport and Road Research Laboratory, Safety and Transportation Group, Road Safety Division, 1989.

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6

Sekar, Helen R. Forced labour: A study of children at the traffic lights. V.V. Giri National Labour Institute, 2010.

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7

Institute of Transportation Engineers. Traffic Engineering Committee TENC-98-03., ed. In-roadway flashing lights at crosswalks: An informational report. Institute of Transportation Engineers, 2001.

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8

Arnold, E. D. Development of guidelines for in-roadway warning lights. Virginia Transportation Research Council, 2004.

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9

Jones, Patrick. Chasing tail lights. Walker & Co., 2008.

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10

Inc, Carmanah Technologies, and Transportation Development Centre (Canada), eds. Development of a standard for light emitting diode (LED) signal lights designed to improve warning signals at grade crossings: Project summary. Transportation Development Centre, 2003.

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Capitoli di libri sul tema "Traffic lights"

1

Pritchard, Jacki. "Traffic lights." In Hypnotherapy Scripts to Promote Children’s Wellbeing. Routledge, 2020. http://dx.doi.org/10.4324/9781003044147-11.

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2

Carnis, Laurent. "Traffic Lights Violations." In Encyclopedia of Law and Economics. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4614-7753-2_588.

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3

Carnis, Laurent. "Traffic Lights Violations." In Encyclopedia of Law and Economics. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7883-6_588-1.

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4

Haijema, Rene, Eligius M. T. Hendrix, and Jan van der Wal. "Dynamic Control of Traffic Lights." In International Series in Operations Research & Management Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47766-4_13.

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Belov, Aleksandr, Maria Belykh, and Shadi Tofayli. "Railway Traffic Lights Recognition System." In Interdisciplinary Research in Technology and Management. CRC Press, 2021. http://dx.doi.org/10.1201/9781003202240-32.

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6

Sanitz, Tom, Christian Wilms, and Simone Frintrop. "Small, but Important: Traffic Light Proposals for Detecting Small Traffic Lights and Beyond." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-44137-0_21.

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7

Bouhedda, Mounir, Hamza Benyezza, Yassine Toumi, and Samia Rebouh. "Fuzzy Traffic Lights Controller Based on PLC." In Artificial Intelligence and Renewables Towards an Energy Transition. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63846-7_42.

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Biradar, Kishore, Radhika M. Pai, M. M. Manohara Pai, and Joseph Mouzana. "Secure Adaptive Traffic Lights System for VANETs." In Intelligent Computing, Networking, and Informatics. Springer India, 2014. http://dx.doi.org/10.1007/978-81-322-1665-0_88.

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Tran, Phuoc Vinh, Tha Thi Bui, Diem Tran, Phuong Quoc Pham, and Anh Van Thi Tran. "Approach to Priority-Based Controlling Traffic Lights." In Intelligent Information and Database Systems. Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-49390-8_72.

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Caselli, Federico, Alessio Bonfietti, and Michela Milano. "Swarm-Based Controller for Traffic Lights Management." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24309-2_2.

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Atti di convegni sul tema "Traffic lights"

1

Al-Hakimi, Asmaa Mahfoud, and Ahgalya Subbiah. "Autonomous Traffic Light: Emergency Vehicles Take Control of Traffic Lights to Eliminate Traffic Jam Via Fog Computing." In 2024 International Conference on Intelligent Computing and Next Generation Networks (ICNGN). IEEE, 2024. https://doi.org/10.1109/icngn63705.2024.10871590.

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2

Oza, Pratham, Mahsa Foruhandeh, Ryan Gerdes, and Thidapat Chantem. "Secure Traffic Lights." In CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy. ACM, 2020. http://dx.doi.org/10.1145/3375706.3380554.

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3

Joshi, Nikita, Karan Shah, Nidhi Heniya, Jainam Zaveri, Rushikesh Nikam, and Kadambari Deherkar. "Smart Traffic Lights." In 2023 IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE, 2023. http://dx.doi.org/10.1109/aic57670.2023.10263856.

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4

Vokorokos, Liberios, Eva Chovancova, Martin Chovanec, and Martin Stancel. "Smart traffic lights." In 2022 IEEE 26th International Conference on Intelligent Engineering Systems (INES). IEEE, 2022. http://dx.doi.org/10.1109/ines56734.2022.9922641.

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5

de Charette, Raoul, and Fawzi Nashashibi. "Real time visual traffic lights recognition based on Spot Light Detection and adaptive traffic lights templates." In 2009 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2009. http://dx.doi.org/10.1109/ivs.2009.5164304.

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6

Gunther, Hendrik-Jorn, Sandra Kleinau, Oliver Trauer, and Lars Wolf. "Platooning at traffic lights." In 2016 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2016. http://dx.doi.org/10.1109/ivs.2016.7535518.

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7

Nunes, Denslin, Wellborn Bar, Sonya Fernandes, Meet Satra, Jagruti Save, and Prachi Dalvi. "AI-Driven Traffic Lights." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2023. http://dx.doi.org/10.1109/icccnt56998.2023.10306685.

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N, BRIHADEESWARAN, PRATHIPA S, and KRISHNA VAMSI K. "AI-powered Traffic Lights." In 2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS). IEEE, 2023. http://dx.doi.org/10.1109/iccebs58601.2023.10449105.

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9

Van de Vyvere, Brecht, Pieter Colpaert, Erik Mannens, and Ruben Verborgh. "Open traffic lights: a strategy for publishing and preserving traffic lights data." In WWW '19: The Web Conference. ACM, 2019. http://dx.doi.org/10.1145/3308560.3316520.

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Leu, Fang-Yie, Miao-Heng Chen, Yi-Li Huang, and Chung-Chi Lin. "Controlling Traffic Lights for Ambulances." In 2012 Seventh International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA). IEEE, 2012. http://dx.doi.org/10.1109/bwcca.2012.82.

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Rapporti di organizzazioni sul tema "Traffic lights"

1

Nafakh, Abdullah Jalal, Franklin Vargas Davila, Yunchang Zhang, Jon D. Fricker, and Dulcy M. Abraham. Workzone Lighting and Glare on Nighttime Construction and Maintenance Activities. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317379.

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Over the last two decades, an increasing number of highway construction and maintenance projects in the United States have been completed at night to avoid or alleviate traffic congestion delays. Working at night entails several advantages, including lower traffic volumes, less impact on local businesses, cooler temperatures for equipment and material, and fewer overall crashes. Although nighttime roadway operations may minimize traffic disruptions, there are several safety concerns about passing motorists and workers in the nighttime work zone. For instance, improper lighting arrangements or

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Beiker, Sven, ed. Unsettled Issues Regarding Visual Communication Between Automated Vehicles and Other Road Users. SAE International, 2021. http://dx.doi.org/10.4271/epr2021016.

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As automated road vehicles begin their deployment into public traffic, and they will need to interact with human driven vehicles, pedestrians, bicyclists, etc. This requires some form of communication between those automated vehicles (AVs) and other road users. Some of these communication modes (e.g., auditory, motion) were discussed in “Unsettled Issues Regarding Communication of Automated Vehicles with Other Road Users.” Unsettled Issues Regarding Visual Communication Between Automated Vehicles and Other Road Users focuses on sisual communication and its balance of reach, clarity, and intuit

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Ewing, Reid. Effect of Light-Rail Transit on Traffic in a Travel Corridor. Portland State University Library, 2014. http://dx.doi.org/10.15760/trec.56.

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Tayeb, Shahab. Intelligent Blind Crossings for Suburban and Rural Intersections. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2024.2351.

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Blind intersections in suburban and rural areas pose significant safety challenges due to limited visibility and inadequate infrastructure. This project proposes an innovative solution leveraging the Internet of Vehicles (IoV) paradigm, utilizing connected and autonomous vehicles (CAVs) for seamless communication to enhance safety at these intersections. The research focuses on developing a specialized Road-Side Unit (RSU) system equipped with a Virtual Traffic Light Algorithm implemented on a Field-Programmable Gate Array (FPGA). Key stakeholders, including transportation authorities, vehicle

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Liu, Tairan. Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2322.

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In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic light timings. This project integrates two critical technologies, Deep Q-Networks (DQN) and Auto-encoders, into reinforcement learning, with the goal of making traffic smoother and reducing the all-too-common road congestion in simulated city environments. Deep Q-Networks (DQN) are a form of reinforcement learning algorithms that learns the best actions to take in various situations through trial and error. Auto-encoders, on the other hand, are tool

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Tarko, Andrew P., Jose Thomaz, and Mario Romero. SNIP Light User Manual. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317136.

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A systemic approach to identifying road locations that exhibit safety problems was provided by the Safety Needs Identification Program (SNIP and SNIP2) developed by the Purdue University Center for Road Safety (CRS). The new version SNIP Light has been developed to provide other uses with planning level traffic safety analysis capability for a wider range of uses including Metropolitan Planning Agencies (MPOs) who want the tool for planning cost-effective safety programs in their metropolitan areas. The SNIP Light reduces the demand of computing and data storage resources and replaces the SQL

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7

Kao, H., D. W. Eaton, G. M. Atkinson, S. Maxwell, and A. Babaie Mahani. Technical meeting on the traffic light protocols (TLP) for induced seismicity: summary and recommendations. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/299002.

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8

Duvvuri, Sarvani, and Srinivas S. Pulugurtha. Researching Relationships between Truck Travel Time Performance Measures and On-Network and Off-Network Characteristics. Mineta Transportation Institute, 2021. http://dx.doi.org/10.31979/mti.2021.1946.

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Trucks serve significant amount of freight tonnage and are more susceptible to complex interactions with other vehicles in a traffic stream. While traffic congestion continues to be a significant ‘highway’ problem, delays in truck travel result in loss of revenue to the trucking companies. There is a significant research on the traffic congestion mitigation, but a very few studies focused on data exclusive to trucks. This research is aimed at a regional-level analysis of truck travel time data to identify roads for improving mobility and reducing congestion for truck traffic. The objectives of

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9

Pourhomayoun, Mohammad. Artificial Intelligence for Pedestrian and Bicyclist Safety: Using AI to Detect Near-Miss Collisions. Mineta Transportation Institute, 2024. http://dx.doi.org/10.31979/mti.2024.2350.

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Near-Miss Collisions are events that, with a slight change in position or timing, could have resulted in a collision, which could have caused severe injury or property damage. Understanding near-miss collisions can help identify risks and potentially improve road safety. In this project, we developed an effective end-to-end system based on advanced artificial intelligence (AI) models and computer vision algorithms to detect and report near-miss collisions as an important indicator to identify and measure safety risks, especially in specific circumstances such as a right turn on a red light. Th

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McIntyre, Phillip, Susan Kerrigan, and Marion McCutcheon. Australian Cultural and Creative Activity: A Population and Hotspot Analysis: Marrickville. Queensland University of Technology, 2021. http://dx.doi.org/10.5204/rep.eprints.208593.

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Abstract (sommario):

Marrickville is located in the western heart of inner-city Sydney and is the beneficiary of the centrifugal process that has forced many creatives out of the inner city itself and further out into more affordable suburbs. This locality is built on the lands of the Eora nation. It is one of the most culturally diverse communities in the country but is slowly being gentrified creating tensions between its light industrial heart, its creative industry community and inner city developers. SME’s, co-working spaces and live music venues, are all in jeopardy as they occupy light-industrial warehouses

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