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Relevant bibliographies by topics / Electronic traffic controls Research

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Academic literature on the topic 'Electronic traffic controls Research'

Author: Grafiati

Published: 10 December 2022

Last updated: 31 July 2025

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Journal articles on the topic "Electronic traffic controls Research"

1

G, Dr Kanjana. "Adaptive Traffic Management System Using Reinforcement Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 1387–92. https://doi.org/10.22214/ijraset.2025.67570.

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Traffic congestion is a significant issue in urban areas, leading to increased travel delays, fuel consumption, and environmental pollution. Traditional traffic management systems, which use fixed-timer signals, rule-based controls, manual intervention by traffic police, and electronic sensor-based methods, often struggle to adapt to dynamic traffic conditions. To address these challenges an Adaptive Traffic Management System (ATMS) using Reinforcement Learning (RL) is proposed to optimize signal timings and improve traffic flow. The system dynamically adjusts traffic signal timings based on r

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Saad, Aldosary, Ahmed Shalaby, and Abdallah A. Mohamed. "Research on the internet of vehicles assisted traffic management systems for observing traffic density." Computers and Electrical Engineering 101 (July 2022): 108100. http://dx.doi.org/10.1016/j.compeleceng.2022.108100.

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Chen, Feng, Qi Zhang, Yuanhua Jia, and Jian Li. "Research of traffic flow multi-objectives intelligent control method for junction network." Telecommunication Systems 53, no. 1 (2013): 77–84. http://dx.doi.org/10.1007/s11235-013-9679-0.

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Yadav, Pamul, Ashutosh Mishra, and Shiho Kim. "A Comprehensive Survey on Multi-Agent Reinforcement Learning for Connected and Automated Vehicles." Sensors 23, no. 10 (2023): 4710. http://dx.doi.org/10.3390/s23104710.

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Connected and automated vehicles (CAVs) require multiple tasks in their seamless maneuverings. Some essential tasks that require simultaneous management and actions are motion planning, traffic prediction, traffic intersection management, etc. A few of them are complex in nature. Multi-agent reinforcement learning (MARL) can solve complex problems involving simultaneous controls. Recently, many researchers applied MARL in such applications. However, there is a lack of extensive surveys on the ongoing research to identify the current problems, proposed methods, and future research directions in

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Huang, Yung-Fa, Chuan-Bi Lin, Chien-Min Chung, and Ching-Mu Chen. "Research on QoS Classification of Network Encrypted Traffic Behavior Based on Machine Learning." Electronics 10, no. 12 (2021): 1376. http://dx.doi.org/10.3390/electronics10121376.

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In recent years, privacy awareness is concerned due to many Internet services have chosen to use encrypted agreements. In order to improve the quality of service (QoS), the network encrypted traffic behaviors are classified based on machine learning discussed in this paper. However, the traditional traffic classification methods, such as IP/ASN (Autonomous System Number) analysis, Port-based and deep packet inspection, etc., can classify traffic behavior, but cannot effectively handle encrypted traffic. Thus, this paper proposed a hybrid traffic classification (HTC) method based on machine lea

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Bouktif, Salah, Abderraouf Cheniki, and Ali Ouni. "Traffic Signal Control Using Hybrid Action Space Deep Reinforcement Learning." Sensors 21, no. 7 (2021): 2302. http://dx.doi.org/10.3390/s21072302.

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Recent research works on intelligent traffic signal control (TSC) have been mainly focused on leveraging deep reinforcement learning (DRL) due to its proven capability and performance. DRL-based traffic signal control frameworks belong to either discrete or continuous controls. In discrete control, the DRL agent selects the appropriate traffic light phase from a finite set of phases. Whereas in continuous control approach, the agent decides the appropriate duration for each signal phase within a predetermined sequence of phases. Among the existing works, there are no prior approaches that prop

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Wu, Fei, Ting Li, Fucai Luo, Shulin Wu, and Chuanqi Xiao. "Intelligent Network Traffic Control Based on Deep Reinforcement Learning." International Journal of Circuits, Systems and Signal Processing 16 (January 14, 2022): 585–94. http://dx.doi.org/10.46300/9106.2022.16.73.

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This paper studies the problems of load balancing and flow control in data center network, and analyzes several common flow control schemes in data center intelligent network and their existing problems. On this basis, the network traffic control problem is modeled with the goal of deep reinforcement learning strategy optimization, and an intelligent network traffic control method based on deep reinforcement learning is proposed. At the same time, for the flow control order problem in deep reinforcement learning algorithm, a flow scheduling priority algorithm is proposed innovatively. Accordin

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Mathiane, Malose John, Chunling Tu, Pius Adewale, and Mukatshung Nawej. "A Vehicle Density Estimation Traffic Light Control System Using a Two-Dimensional Convolution Neural Network." Vehicles 5, no. 4 (2023): 1844–62. http://dx.doi.org/10.3390/vehicles5040099.

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One of the world’s challenges is the amount of traffic on the roads. Waiting for the green light is a major cause of traffic congestion. Low throughput rates and eventual congestion come from many traffic signals that are hard coded, irrespective of the volume of the amount of traffic. Instead of depending on predefined time intervals, it is essential to build a traffic signal control system that can react to changing vehicle densities. Emergency vehicles, like ambulances, must be given priority at the intersection so as not to spend more time at the traffic light. Computer vision techniques c

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Nedyalkov, Ivan. "Application of GNS3 to Study the Security of Data Exchange between Power Electronic Devices and Control Center." Computers 12, no. 5 (2023): 101. http://dx.doi.org/10.3390/computers12050101.

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This paper proposes the use of the GNS3 IP network modeling platform to study/verify whether the exchanged information between power electronic devices and a control center (Monitoring and Control Centre) is secure. For the purpose of this work, a power distribution unit (PDU) and a UPS (Uninterruptable Power Supply) that are used by internet service providers are studied. Capsa Free network analyzer and Wireshark network protocol analyzer were used as supporting tools. A working model of an IP network in GNS3 has been created through which this research has been carried out. In addition to ch

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Deshpande, Siddhesh, and Sheng-Jen Hsieh. "Cyber-Physical System for Smart Traffic Light Control." Sensors 23, no. 11 (2023): 5028. http://dx.doi.org/10.3390/s23115028.

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In recent years, researchers have proposed smart traffic light control systems to improve traffic flow at intersections, but there is less focus on reducing vehicle and pedestrian delays simultaneously. This research proposes a cyber-physical system for smart traffic light control utilizing traffic detection cameras, machine learning algorithms, and a ladder logic program. The proposed method employs a dynamic traffic interval technique that categorizes traffic into low, medium, high, and very high volumes. It adjusts traffic light intervals based on real-time traffic data, including pedestria

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Dissertations / Theses on the topic "Electronic traffic controls Research"

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Hernández, Salvador H. "Evaluation of the effectiveness of coordinated ramp meter controls /." CLICK HERE for online access:, 2003. http://www.udot.utah.gov/res/research/WebDesign/reports02.htm.

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Einhorn, Mark David. "An evaluation of the efficiency of self-organising versus fixed traffic signalling paradigms." Thesis, Stellenbosch : Stellenbosch University, 2012. http://hdl.handle.net/10019.1/20306.

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Stalmans, Etienne Raymond. "DNS traffic based classifiers for the automatic classification of botnet domains." Thesis, Rhodes University, 2014. http://hdl.handle.net/10962/d1007739.

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Networks of maliciously compromised computers, known as botnets, consisting of thousands of hosts have emerged as a serious threat to Internet security in recent years. These compromised systems, under the control of an operator are used to steal data, distribute malware and spam, launch phishing attacks and in Distributed Denial-of-Service (DDoS) attacks. The operators of these botnets use Command and Control (C2) servers to communicate with the members of the botnet and send commands. The communications channels between the C2 nodes and endpoints have employed numerous detection avoidance me

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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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Glitz, Darian. "Benefits to signal timing optimization and ITS to corridor operations." Morgantown, W. Va. : [West Virginia University Libraries], 2006. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=4520.

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Thesis (M.S.)--West Virginia University, 2006.<br>Title from document title page. Document formatted into pages; contains viii, 173 p. : ill. (some col.). Vita. Includes abstract. Includes bibliographical references (p. 75-76).

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Hunter, Christopher Dickerson. "Guidelines for the successful implementation of transit signal priority on arterials /." Thesis, Connect to this title online; UW restricted, 2000. http://hdl.handle.net/1773/10161.

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Lee, Chungwon. "Combined traffic signal control and traffic assignment : algorithms, implementation and numerical results /." Digital version accessible at:, 1998. http://wwwlib.umi.com/cr/utexas/main.

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Abdelfatah, Akmal Saad. "Time-dependent signal control and system optimal traffic assignment in congested vehicular traffic networks /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Chow, Andy Ho Fai. "Adaptive traffic control system : a study of strategies, computational speed and effect of prediction error /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?CIVL%202002%20CHOW.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 126-129). Also available in electronic version. Access restricted to campus users.

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Swanepoel, Charl. "Using vehicle activated signs as an integrated measure to improve road safety in South Africa." Thesis, Nelson Mandela Metropolitan University, 2015. http://hdl.handle.net/10948/3745.

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Road safety is an aspect of major concern on road networks, not only on a local scale in South Africa, but also on a global scale. South Africa is experiencing an unacceptably high rate of fatal road traffic crashes and as a result has one of the highest per capita rate of road fatalities in the world. The Global Plan for the Decade of Action for Road Safety 2011 – 2020 was published in 2011 by the World Health Organisation (WHO) to guide and assist countries with the improvement of road safety. The management of vehicle speeds is one of numerous important interventions identified in the Globa

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Books on the topic "Electronic traffic controls Research"

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Jay, Wasson, Indiana. Dept. of Transportation., Joint Transportation Research Program (Ind.), and Purdue University, eds. Reconciled platoon accomodations at traffic signals. Purdue University, [Joint Transportation Research Program, 1999.

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Future Transportation Technology Conference and Exposition (1998 : Costa Mesa, Calif.), ed. IV and ITS research. Society of Automotive Engineers, 1998.

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Kitchener, Fred. Pavement monitoring and interface system to implement traffic signal timing plan changes for winter driving. Wyoming Dept. of Transportation, 2000.

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J, Nelson Eric, Indiana. Dept. of Transportation., and Joint Transportation Research Program (Ind.), eds. Development of closed loop system evaluation procedures. Joint Highway Research Program, Purdue University, 2000.

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United States. Federal Highway Administration. Office of Traffic Management and IVHS., ed. Department of Transportation's intelligent transportation systems (ITS) projects. U.S. Dept. of Transportation, Federal Highway Administration, 1995.

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Paselk, Theodore Alan. Automated vehicle delay estimation and motorist information at the U.S./Canadian Border: Final technical report, Research Project GC 8719, Task 41, Automated Motorist Information Detection System. Washington State Dept. of Transportation, Washington State Transportation Commission in cooperation with the U.S. Dept. of Transportation, Federal Highway Administration, 1992.

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European Commisison. Directorate-General for Transport, ed. Emerald: Emerging RTD activities of relevance to ATM concept definition. Office for Official Publications of the European Communities, 2000.

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Systems, Intelligent Transportation, ed. Intelligent Transportation Systems infrastructure initiative. Intelligent Transportation Systems, Joint Program Office, U.S. Dept. of Transportation, 1997.

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Yauch, Peter J. Traffic signal control equipment: State of the art. Transportation Research Board, National Research Council, 1990.

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Mertz, Joachim. Ein mikroskopisches Verfahren zur verkehrsadaptiven Knotenpunktsteuerung mit Vorrang des öffentlichen Verkehrs. Technische Universität München, 2001.

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Book chapters on the topic "Electronic traffic controls Research"

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Yang, Tao, and Li Kang. "Research on Intelligent Traffic Control System Based on Hybrid Genetic Algorithm." In Advances in Mechanical and Electronic Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31507-7_91.

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Zhang, Junyou, Meng Jian, and Rui Tang. "The Research of Road Traffic Based on Floating Car Data." In Advanced Research on Electronic Commerce, Web Application, and Communication. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20370-1_18.

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Feng, Hongxiang, Fancun Kong, and Yingjie Xiao. "Vessel Traffic Flow Forecasting Model Study Based on Support Vector Machine." In Advanced Research on Electronic Commerce, Web Application, and Communication. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-20367-1_72.

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Shan, Desai, and Om Prakash Yadav. "The Impact of COVID-19 on Arctic Shipping: An Area-Based Public/Occupational Health Perspective." In Area-Based Management of Shipping. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60053-1_13.

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AbstractMaritime activities are increasing in the Arctic and near Arctic areas, including domestic shipping and international transit traffic. Arctic shipping has created opportunities for cruise tourism, resource transportation, community supply transportation, research, and government services. However, hazards and challenges inherent to maritime operations in the Canadian Arctic cannot be ignored, including extreme Arctic weather conditions, limited port infrastructure, extensive distances from search and rescue services, and restricted access to medical care in Northern communities. The on

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Kamaruzzaman, Md, and Rafiqul Haque. "Design and Implementation of a Wireless Robot for Image Processing." In Handbook of Research on Advanced Mechatronic Systems and Intelligent Robotics. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-0137-5.ch013.

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Robotics has developed into a solid discipline of study that incorporates the background, knowledge, and creativity of mechanical, electronics, electrical, computer, industrial, and manufacturing engineering. The versatility of a robot can be translated into increased productivity, improved product quality, and decreased production costs in numerous ways. The robot can be wired or wireless, and can have a controller device. Radio frequency control system is one of the most efficient controls for a robot. Other than control, image processing is one of the important parts of robotics. Moreover,

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Dey, Diptanil, Abhiroop Majumder, Yash Agrawal, Siddharth Tewari, and Hitesh Mohapatra. "Smart Mobility Revolution." In Advances in Electronic Government, Digital Divide, and Regional Development. IGI Global, 2024. https://doi.org/10.4018/979-8-3693-6740-7.ch006.

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This study examines the integration of the Internet of Things (IoT), sensors, and cloud computing in urban transportation. It highlights benefits such as efficiency, safety, and sustainability, while also addressing the challenges of optimizing these dynamic systems. The research focuses on merging IoT sensors and cloud technologies in vehicles to improve urban navigation, demonstrating advantages like traffic control and reduced congestion. Despite limitations, the findings suggest significant potential for enhancing urban transportation. The study emphasizes the transformative impact of smar

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Kesavan, Ramesh, and Pushpa Jaculine J. "Smart IoT Meters for Smart Living." In Handbook of Research on Implementation and Deployment of IoT Projects in Smart Cities. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-9199-3.ch015.

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Smart cities and smart villages provide technology-based, sophisticated, and better lifestyles to their citizens. Smart cities include traffic control, transport management, managing spare resources like power and water, solid waste management, e-health monitoring, infrastructure management based on internet of things (IoT) technology. IoT is a technique that combines sensors, electronic devices, information and communication technology, and software for the social wellbeing of the common man. In recent years, many IoT-based smart devices, namely smart garbage bins, automatic parking system, s

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Kabilan, R., R. Ravi, R. Mallika Pandeeswari, and S. Shargunam. "Innovative Device for Automatically Notifying and Analyzing the Impact of Automobile Accidents." In Intelligent Technologies for Automated Electronic Systems. BENTHAM SCIENCE PUBLISHERS, 2024. http://dx.doi.org/10.2174/9789815179514124010003.

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In many nations, motorcycle accidents are a big public issue. Despite public awareness campaigns, the problem continues to grow as a result of poor riding habits such as riding without a helmet, dangerous driving, drunk driving, riding without enough sleep, and so on. Because of late help to those who have been in accidents, the rate of deaths and disabilities is quite high. People who are implicated suffer significant economic and social consequences as a result of them. As a result, various research organizations and large motorcycle companies have developed safety systems to safeguard rider

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Wang, Shangbo. "Traffic State Prediction and Traffic Control Strategy for Intelligent Transportation Systems." In Intelligent Electronics and Circuits - Terahertz, IRS, and Beyond [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.101675.

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The recent development of V2V (Vehicle-to-Vehicle), V2I (Vehicle-to-Infrastructure), V2X (Vehicle-to-Everything) and vehicle automation technologies have enabled the concept of Connected and Automated Vehicles (CAVs) to be tested and explored in practice. Traffic state prediction and control are two key modules for CAV systems. Traffic state prediction is important for CAVs because adaptive decisions, control strategies such as adjustment of traffic signals, turning left or right, stopping or accelerating and decision-making of vehicle motion rely on the completeness and accuracy of traffic da

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Tay, Yen Pei, Vasaki Ponnusamy, and Lam Hong Lee. "Big Data in Telecommunications." In Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8505-5.ch004.

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The meteoric rise of smart devices in dominating worldwide consumer electronics market complemented with data-hungry mobile applications and widely accessible heterogeneous networks e.g. 3G, 4G LTE and Wi-Fi, have elevated Mobile Internet from a ‘nice-to-have' to a mandatory feature on every mobile computing device. This has spurred serious data traffic congestion on mobile networks as a consequence. The nature of mobile network traffic today is more like little Data Tsunami, unpredictable in terms of time and location while pounding the access networks with waves of data streams. This chapter

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Conference papers on the topic "Electronic traffic controls Research"

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Wan, Wan, Tao Huang, Wei Wei, et al. "Research on Traffic Flow Forecasting Method Based on CATformer Model." In 2024 IEEE 7th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC). IEEE, 2024. http://dx.doi.org/10.1109/itnec60942.2024.10733065.

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Zhang, Kun, Min Duan, Zhijian Sun, Congsheng Zhang, and Yichi Zhang. "Research on height measurement and estimation technology of two coordinate air traffic control radar." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3067363.

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Feng, Junyu. "Research on Traffic Sign Image Recognition Based on Deep Learning." In 2025 IEEE 5th International Conference on Electronic Technology, Communication and Information (ICETCI). IEEE, 2025. https://doi.org/10.1109/icetci64844.2025.11084069.

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Zhang, Xude, Changzhen Zhang, Xiaoping Wu, and Houbing Tang. "STYOLOv8: Research on Traffic Signal Light Detection Method Based on SwinTransformer." In 2024 6th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2024. http://dx.doi.org/10.1109/eei63073.2024.10696022.

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Wang, Guoqing, Pingfei Cui, Zhe Yu, and Mengxiao Wang. "Research on SYN Flood Malicious Traffic Detection Method Based on FPGA-SOC HarmonyOS." In 2024 6th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2024. http://dx.doi.org/10.1109/eei63073.2024.10696622.

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He, Yong, Xuelai Geng, Mengqi Guo, Tao Zou, and Yizhuo Lu. "Research on knowledge graph construction for high-definition navigation electronic map specification." In Fourth International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2024), edited by Hao Chen and Wei Shangguan. SPIE, 2025. https://doi.org/10.1117/12.3051036.

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Ye, Shengke, Chunzhi Li, Guoli Fan, Ding Zhang, and Ling Zhang. "Research on Network Security Traffic Classification and Threat Detection Model Based on Incremental Learning." In 2024 4th International Conference on Electronic Information Engineering and Computer (EIECT). IEEE, 2024. https://doi.org/10.1109/eiect64462.2024.10866301.

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Zhang, JiaJun, and Jingyu Chen. "Research on Efficient Routing Algorithm for Mesh On-Chip Networks Based on Transpose Traffic Pattern." In 2024 4th International Conference on Electronic Information Engineering and Computer Communication (EIECC). IEEE, 2024. https://doi.org/10.1109/eiecc64539.2024.10929578.

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Wang, Jie, and Zhiming Zhong. "Research on abnormal traffic detection in power grid network based on Naive Bayesian Gaussian model." In Seventh International Conference on Advanced Electronic Materials, Computers, and Software Engineering (AEMCSE 2024), edited by Lvqing Yang. SPIE, 2024. http://dx.doi.org/10.1117/12.3038162.

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Zheng, Zhiqiang, Shengyang Gao, Ruifeng Ding, et al. "Research on terminal traffic prediction and dynamic security assessment method for smart power plants based on the ARIMA model." In 4th International Conference on Electronic Information Engineering and Data Processing (EIEDP 2025), edited by Azlan Bin Mohd Zain and Lei Chen. SPIE, 2025. https://doi.org/10.1117/12.3066945.

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Reports on the topic "Electronic traffic controls Research"

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Hynd, David, Caroline Wallbank, Jonathan Kent, et al. Costs and Benefits of Electronic Stability Control in Selected G20 Countries. TRL, 2020. http://dx.doi.org/10.58446/lsrg3377.

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This report, commissioned by Bloomberg Philanthropies, finds that 42,000 lives could be saved and 150,000 serious injuries prevented by 2030 if all new cars in seven G20 countries were required to be equipped with an inexpensive crash avoidance technology starting in 2020. Thirteen G20 counties currently adhere to United Nations regulations on electronic stability control (ESC). If the seven remaining countries—Argentina, Brazil, China, India, Indonesia, Mexico and South Africa—also mandated ESC in 2020, the report estimates $21.5 billion in economic benefit to those countries from the prevent

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Epel, Bernard L., Roger N. Beachy, A. Katz, et al. Isolation and Characterization of Plasmodesmata Components by Association with Tobacco Mosaic Virus Movement Proteins Fused with the Green Fluorescent Protein from Aequorea victoria. United States Department of Agriculture, 1999. http://dx.doi.org/10.32747/1999.7573996.bard.

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The coordination and regulation of growth and development in multicellular organisms is dependent, in part, on the controlled short and long-distance transport of signaling molecule: In plants, symplastic communication is provided by trans-wall co-axial membranous tunnels termed plasmodesmata (Pd). Plant viruses spread cell-to-cell by altering Pd. This movement scenario necessitates a targeting mechanism that delivers the virus to a Pd and a transport mechanism to move the virion or viral nucleic acid through the Pd channel. The identity of host proteins with which MP interacts, the mechanism

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Rankin, Nicole, Deborah McGregor, Candice Donnelly, et al. Lung cancer screening using low-dose computed tomography for high risk populations: Investigating effectiveness and screening program implementation considerations: An Evidence Check rapid review brokered by the Sax Institute (www.saxinstitute.org.au) for the Cancer Institute NSW. The Sax Institute, 2019. http://dx.doi.org/10.57022/clzt5093.

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Background Lung cancer is the number one cause of cancer death worldwide.(1) It is the fifth most commonly diagnosed cancer in Australia (12,741 cases diagnosed in 2018) and the leading cause of cancer death.(2) The number of years of potential life lost to lung cancer in Australia is estimated to be 58,450, similar to that of colorectal and breast cancer combined.(3) While tobacco control strategies are most effective for disease prevention in the general population, early detection via low dose computed tomography (LDCT) screening in high-risk populations is a viable option for detecting asy

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