Relevant bibliographies by topics / Traffic light control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Traffic light control'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Traffic light control"

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Amin, Reuel. "Traffix : Efficient Traffic Control using IoT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31872.

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This paper aims to alleviate traffic congestion brought on by antiquated, ineffective traffic management systems that are based on a predefined countdown. Long red light delays are the result of these traditional systems, which have a predefined countdown regardless of the actual traffic on a given road. Our system makes sure that time set for the traffic lights reflects the traffic density in real time, which ensures efficient use of time. In order to do this, we first compute the traffic density, which is ascertained by combining image processing methods along with the use of ultrasonic sens
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KRISHNAN, SUREN, RAJAN THANGAVELOO, SHAPI-EE BIN ABD RAHMAN, and SIVA RAJA SINDIRAMUTTY. "Smart Ambulance Traffic Control System." Trends in Undergraduate Research 4, no. 1 (2021): c28–34. http://dx.doi.org/10.33736/tur.2831.2021.

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The traffic lights control system is broadly implemented to track and control the flow of vehicles through the intersection of multiple roads. Nevertheless, the synchronization of traffic light system at adjacent junctions is an intricate issue given the different parameters involved. Existing traffic light control systems do not control many flows approaching the same junctions. This results in traffic jams and congestion at urban areas or major cities with high volume traffic consisting of various types of vehicles. This includes emergency ambulances travelling on the same traffic junction d
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StoIlova, K., and T. StoIlov. "Traffic noise and traffic light control." Transportation Research Part D: Transport and Environment 3, no. 6 (1998): 399–417. http://dx.doi.org/10.1016/s1361-9209(98)00017-0.

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U Holambe, Shilpa, and D. B Andore. "Advance Traffic Light Control System Based on FPGA." International Journal of Scientific Engineering and Research 3, no. 11 (2015): 31–35. https://doi.org/10.70729/ijser15562.

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Vidhyia, M., and S. Elayaraja. "Traffic Light Control System Using Raspberry-PI." Asian Journal of Electrical Sciences 5, no. 1 (2016): 8–12. http://dx.doi.org/10.51983/ajes-2016.5.1.1970.

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Nowadays congestion in traffic is a serious issue. The traffic congestion can also be caused by large red light delays etc. The delay of respective light is hard coded in the traffic light and it is not dependent on traffic. In this paper we studied the optimization of traffic light controller in a city using microcontroller. The system tries to reduce possibilities of traffic jams, caused by traffic lights, to an extent. The system is based on raspberry-pi. The system contains IR transmitter and IR receiver which are mounted on either sides of roads respectively. Based on different vehicles c
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Ye, Likai. "Traffic Light Control System." Journal of Theory and Practice of Engineering Science 4, no. 03 (2024): 111–24. http://dx.doi.org/10.53469/jtpes.2024.04(03).11.

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The traffic light control system is a key component of urban traffic management, and its performance directly impacts the smooth flow of traffic and traffic safety. Based on some issues existing in the current traffic signal control systems, this paper proposes a novel traffic light control system based on intelligent algorithms. This system combines artificial intelligence technology with traditional traffic signal control methods to achieve intelligent control of traffic signals, thereby enhancing traffic efficiency and road safety. The paper provides a detailed explanation of the system's d
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Royko, Yuriy, Yurii Yevchuk, and Romana Bura. "Minimization of traffic delay in traffic flows with coordinated control." Transport technologies 2021, no. 2 (2021): 30–41. http://dx.doi.org/10.23939/tt2021.02.030.

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The method and results of transport research, carried out by field research method, on the determination of the main indicators of traffic flows with significant unevenness of the movement on the arterial street in conditions of coordinated control is reviewed in the paper. Time parameters of traffic light control for which a reduction in traffic delay is achieved in direct and opposite traffic flow by the change of permissive signal depending on traffic intensity are determined using the simulation method. Change (increase) of the duration of the permissive signal provides uninterrupted movem
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Chandrasekaran, Adhithya Palanisamy. "Traffic Light Control System." Acta Mechanica Slovaca 28, no. 4 (2024): 54–62. https://doi.org/10.21496/ams.2025.001.

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Faraj, Mohammed Abdulmaged, and Najmadin Wahid Boskany. "Intelligent Traffic Congestion Control System using Machine Learning and Wireless Network." UHD Journal of Science and Technology 4, no. 2 (2020): 123–31. http://dx.doi.org/10.21928/uhdjst.v4n2y2020.pp123-131.

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Traffic congestion has become a big problem for most people because it increases noise, air pollution, and wasting time. Current normal traffic light system is not enough to manage the traffic problematic congestions because they operate on a fixed-time length plan. In recent years, internet of things led to introducing new models of intelligent traffic light systems; by utilizing different techniques such as predictive-based model, radiofrequency identification, and ultrasonic-based model. The most essential one of these techniques is depends of image processing and microcontroller communicat
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Sun, Chunling, and Fuhai Liu. "Simulation and Research of Urban Intelligent Traffic Light Control System." Journal of Physics: Conference Series 2068, no. 1 (2021): 012043. http://dx.doi.org/10.1088/1742-6596/2068/1/012043.

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Abstract Intelligent traffic light control system belongs to the field of transportation public safety control. So far, the traffic light control system on the market cannot change the working time of the traffic lights according to the actual traffic flow, which is not conducive to the easing of the traffic flow and easy to cause traffic jams. Therefore, it is necessary to solve the problem of the existing traffic light control system which cannot adjust the working hours of the traffic light according to the actual road conditions, so as to alleviate the traffic jam at the intersection to a
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Dissertations / Theses on the topic "Traffic light control"

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Olson, Carl Scott. "Safety Effectiveness of Red Light Treatments for Red Light Running." PDXScholar, 2012. https://pdxscholar.library.pdx.edu/open_access_etds/882.

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Crashes resulting from automobiles running a red light are typically severe in nature. One way to try to reduce the number and severity of these types of crashes is by increasing the red clearance interval of a traffic signal. In Portland, Oregon, eight intersections received a variety of treatments including red extensions. Determining which treatment had what effect can be difficult to weed out. Using a combination of crash analysis and a model simulating an intersection with red extensions, this paper describes the estimated impact of red light running intersection upgrades and red extensio
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Goldberg, Benjamin. "Benchmarking Traffic Control Algorithms on a Packet Switched Network." Scholarship @ Claremont, 2015. http://scholarship.claremont.edu/cmc_theses/1192.

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Traffic congestion has tremendous economic and environmental costs. One way to reduce this congestion is to implement more intelligent traffic light systems. There is significant existing research into different algorithms for controlling traffic lights, but they all use separate systems for performance testing. This paper presents the Rush Hour system, which models a network of roadways and traffic lights as a network of connected routers and endnodes. Several traffic switching algorithms are then tested on the Rush Hour system. As expected, we found that the more intelligent systems were eff
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Burvall, Benjamin, and Johannes Olegård. "A Comparison of a Genetic Algorithm and Simulated Annealing Applied to a Traffic Light Control Problem : A Traffic Intersection Optimization Problem." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-166453.

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This work compares a Genetic Algorithm (GA) and Simulated Annealing (SA) when applied to a variant of the Traffic Light Control Problem (TLCP).  TLCP is about controlling the lights in one or more traffic intersections in order to optimize traffic flow. This is important in order for society to function properly.  The idea is that to solve this problem quickly, as would be necessary in a real traffic situation, stochastic search algorithms like SA and GA should be used.  GA and SA in particular are chosen because they are often used in previous work.A 4-way traffic intersection is simulated. G
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Oliveira, Sergio Ferreira de. "Sensor de presença para semáforo inteligente de baixo custo." Universidade de Taubaté, 2012. http://www.bdtd.unitau.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=588.

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Este trabalho destina-se a especificar, analisar e ensaiar um sensor de presença para um semáforo inteligente de baixo custo. O sensor tem por finalidade a redução dos custos de implantação e manutenção nos sistemas de controles dos semáforos inteligentes, quando comparado a outros sensores, tais como, por imagem, ultrassom, laser, infravermelho, pneumático ou indutivo. O princípio de funcionamento tem por base a detecção de veículos na região de aproximação das vias de uma interseção por meio de um sensor que gera um sinal elétrico para o sistema de controle de tráfego. Utilizando sensores de
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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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Бура, Романа Романівна. "Вдосконалення методів мінімізації затримки транспортних потоків у містах зі щільною забудовою". Diss., Національний університет «Львівська політехніка», 2021. https://ena.lpnu.ua/handle/ntb/56774.

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Krimmling, Jürgen, Birgit Jaekel, and Martin Lehnert. "Aspekte der Verkehrstelematik – ausgewählte Veröffentlichungen 2014." TUDpress, 2019. https://tud.qucosa.de/id/qucosa%3A34055.

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Im fünften Band der Schriftenreihe Verkehrstelematik stehen die intermodalen Forschungsthemen aus ausgewählten Veröffentlichungen das Jahres 2014 der Professur für Verkehrsleitsysteme und prozessautomatisierung an der Fakultät Verkehrswissenschaften „Friedrich List“ der Technischen Universität Dresden im Fokus. Die Beiträge des Bandes können in diesem Jahr drei Schwerpunkten zugeordnet werden. Dabei handelt es sich zum einen um Veröffentlichungen zum abgeschlossenen EU-Projekt ON-TIME, das sich dem Thema Verkehrsmanagement und Fahrerassistenz sowie Fahrplanbewertung und optimierung in Bahnsys
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Howell, William Casey. "Simulation optimization of traffic light signal timings via perturbation analysis." College Park, Md. : University of Maryland, 2006. http://hdl.handle.net/1903/3779.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2006.<br>Thesis research directed by: Applied Mathematics and Scientific Computation Program. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Lämmer, Stefan. "Reglerentwurf zur dezentralen Online-Steuerung von Lichtsignalanlagen in Straßennetzwerken." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2007. http://nbn-resolving.de/urn:nbn:de:swb:14-1194272623825-42598.

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Die Dissertationsschrift widmet sich einer systemtheoretischen Untersuchung zur verkehrsabhängigen Steuerung von Lichtsignalanlagen in Straßennetzwerken. Aus einem mathematischen Modell für den Verkehrsablauf auf Knotenzufahrten wird ein Verfahren abgeleitet, mit dem sich Umschaltzeitpunkte und Phasenwechsel flexibel an das tatsächliche Verkehrsgeschehen anpassen lassen. Der Ansatzpunkt ist, die einzelnen Knotenpunkte des Netzwerks lokal zu optimieren. Eine &amp;quot;Grüne Welle&amp;quot; soll sich von selbst einstellen, und zwar genau dann, wenn dadurch lokal Wartezeiten eingespart werden. In
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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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Books on the topic "Traffic light control"

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Rowley, Dale A. Programmable traffic light control ASIC. University of Manchester, Department of Computer Science, 1995.

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ITE Traffic Engineering Council. LED Committee., ed. Vehicle traffic control signal heads: Light emitting diode (led), vehicle arrow traffic signal supplement. Institute of Transportation Engineers, 2007.

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ITE Traffic Engineering Council. LED Committee., ed. Vehicle traffic control signal heads: Light emitting diode (led), vehicle arrow traffic signal supplement. Institute of Transportation Engineers, 2007.

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ADMINISTRATION, FEDERAL AVIATION. Light gun signals from the control towers for ground vehicles, equipment, and personnel. U.S. Dept. of Transportation, Federal Aviation Administration, 1994.

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United States. Government Accountability Office. Very light jets: Several factors could influence their effect on the National Airspace System : report to congressional requesters. GAO, 2007.

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

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Edgar, Rob. Using light emitting diodes in traffic signals: Final report. Oregon Dept. of Transportation, Research Unit, 1998.

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McGee, Hugh W. Impact of red light camera enforcement on crash experience. National Academy Press, 2003.

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M, Council Forrest, United States. Joint Program Office for Intelligent Transportation Systems., United States. Federal Highway Administration. Office of Safety R&D., Turner-Fairbank Highway Research Center, and Battelle Memorial Institute, eds. Safety evaluation of red-light cameras. U.S. Department of Transportation, Federal Highway Administration, Research, Development, and Technology, Turner-Fairbank Highway Research Center, 2005.

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McFadden, John. Synthesis and evaluation of red light running automated enforcement programs in the United States. U.S. Dept. of Transportation, Federal Highway Administration, Office of Highway Safety Infrastructure, 1999.

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Book chapters on the topic "Traffic light control"

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Sathiyaraj, R., A. Bharathi, and B. Balamurugan. "Intelligent Traffic Light Control and Ambulance Control System." In Advanced Intelligent Predictive Models for Urban Transportation. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003217367-7.

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Turky, Ayad M., M. S. Ahmad, M. Z. M. Yusoff, and N. R. Sabar. "Genetic Algorithm Application for Traffic Light Control." In Lecture Notes in Business Information Processing. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01112-2_12.

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Hung, Phan Duy, and Do Thai Giang. "Traffic Light Control at Isolated Intersections in Case of Heterogeneous Traffic." In Studies in Computational Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-49536-7_23.

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Dangi, Kriti, Manish Singh Kushwaha, and Rajitha Bakthula. "An Intelligent Traffic Light Control System Based on Density of Traffic." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7403-6_65.

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Suresh Kumar, S., M. Rajesh Babu, R. Vineeth, S. Varun, A. N. Sahil, and S. Sharanraj. "Autonomous Traffic Light Control System for Smart Cities." In Lecture Notes in Networks and Systems. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-7150-9_35.

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Bakker, Bram, Shimon Whiteson, Leon Kester, and Frans C. A. Groen. "Traffic Light Control by Multiagent Reinforcement Learning Systems." In Interactive Collaborative Information Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11688-9_18.

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Mujčić, Edin, Una Drakulić, and Amel Toroman. "Intelligent Traffic Light Control System Using Fuzzy Logic." In Advanced Technologies, Systems, and Applications VII. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17697-5_58.

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Sattari, Mohammad Reza Jabbarpour, Hossein Malakooti, Ali Jalooli, and Rafidah Md Noor. "A Dynamic Vehicular Traffic Control Using Ant Colony and Traffic Light Optimization." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-01857-7_6.

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Srikanteswara, Ramya, Aayesha Nomani, Rituraj Pandey, and Bhola Nath Sharma. "Traffic Density Calculation Using PEGASIS and Traffic Light Control Using STLSD Algorithm." In Evolutionary Computing and Mobile Sustainable Networks. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9605-3_42.

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Malena, Kevin, Christopher Link, Leon Bußemas, Sandra Gausemeier, and Ansgar Trächtler. "Traffic Estimation and MPC-Based Traffic Light System Control in Realistic Real-Time Traffic Environments." In Communications in Computer and Information Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17098-0_12.

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Conference papers on the topic "Traffic light control"

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li, chao, and liyou fu. "Design of traffic light control system based on fuzzy control." In Eighth International Conference on Traffic Engineering and Transportation System (ICTETS 2024), edited by Xiantao Xiao and Jia Yao. SPIE, 2024. https://doi.org/10.1117/12.3054547.

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Ranjan, Sumit, and Sanjeev Kumar. "IoT Implementation in Traffic Light Control Systems." In 2024 International Conference on Control, Computing, Communication and Materials (ICCCCM). IEEE, 2024. https://doi.org/10.1109/iccccm61016.2024.11039912.

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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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V, Srividya B., Sufiyan Ahmed, Akshaya Rajendran, Nithin Gowda R, and Vidyashree K. Tumbagi. "Smart Traffic Light Control System for Ambulance Vehicle." In 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE). IEEE, 2025. https://doi.org/10.1109/iitcee64140.2025.10915403.

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Zhu, Yi, Yongli Wang, and Dongmei Liu. "MERCA: A Multi-Objective Optimization Traffic Light Control Model." In 2024 5th International Conference on Artificial Intelligence and Computer Engineering (ICAICE). IEEE, 2024. https://doi.org/10.1109/icaice63571.2024.10864265.

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Tan, Zhengyang, Jiaxin Jin, Jinyu Zhou, Jiayue Zhou, and Aili Li. "Design and Research of Intelligent Traffic Light Control System." In 2025 Joint International Conference on Automation-Intelligence-Safety (ICAIS) & International Symposium on Autonomous Systems (ISAS). IEEE, 2025. https://doi.org/10.1109/icaisisas64483.2025.11051381.

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Grignaffini, S., and M. Romagna. "A lighting study for air traffic control towers." In LIGHT 2011. WIT Press, 2011. http://dx.doi.org/10.2495/light110161.

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Cassandras, Christos G., and Yanfeng Geng. "Adaptive traffic light control." In 2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2013. http://dx.doi.org/10.1109/allerton.2013.6736560.

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Diaz, Nicole, Jorge Guerra, and Juan Nicola. "Smart Traffic Light Control System." In 2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM). IEEE, 2018. http://dx.doi.org/10.1109/etcm.2018.8580282.

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Ghazal, Bilal, Khaled ElKhatib, Khaled Chahine, and Mohamad Kherfan. "Smart traffic light control system." In 2016 Third International Conference on Electrical, Electronics, Computer Engineering and their Applications (EECEA). IEEE, 2016. http://dx.doi.org/10.1109/eecea.2016.7470780.

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Reports on the topic "Traffic light control"

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Kwon, Heeseo Rain, HeeAh Cho, Jongbok Kim, Sang Keon Lee, and Donju Lee. International Case Studies of Smart Cities: Namyangju, Republic of Korea. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007014.

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This case study is one of ten international studies developed by the Korea Research Institute for Human Settlements (KRIHS), in association with the Inter-American Development Bank (IDB), for the cities of Anyang, Medellin, Namyangju, Orlando, Pangyo, Rio de Janeiro, Santander, Singapore, Songdo, and Tel Aviv. At the IDB, the Competitiveness and Innovation Division (CTI), the Fiscal and Municipal Management Division (FMM), and the Emerging and Sustainable Cities Initiative (ESCI) coordinated the study. This project was part of technical cooperation ME-T1254, financed by the Knowledge Partnersh
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Splitter, Gary, and Menachem Banai. Microarray Analysis of Brucella melitensis Pathogenesis. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7709884.bard.

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Original Objectives 1. To determine the Brucella genes that lead to chronic macrophage infection. 2. To identify Brucella genes that contribute to infection. 3. To confirm the importance of Brucella genes in macrophages and placental cells by mutational analysis. Background Brucella spp. is a Gram-negative facultative intracellular bacterium that infects ruminants causing abortion or birth of severely debilitated animals. Brucellosis continues in Israel, caused by B. melitensis despite an intensive eradication campaign. Problems with the Rev1 vaccine emphasize the need for a greater understand
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