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13 results for “Traffic signal system”
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Research ArticleOpen accessEvery word in the titleTraffic Signal Using Smart Agent SystemCheonshik Kim, You-Sik HongIn this research, we propose an electro-sensitive traffic light using the smart agent algorithm to reduce traffic congestion and traffic accidents. The multi-agent system approach can provide a new and preferable solution. The proposed method adaptively controls the cycle of traffic signals even though the traffic volume varies. Consequently, we reduce the car waiting time and start-up delay time using … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 6,957 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign and Development of Sensor Based Traffic Light SystemA. Albagul, M. Hrairi, Wahyudi, M. F. HidayathullahThe main object of this study was to design and implement a suitable algorithm and its simulation for an intelligent traffic signal simulator. The system developed is able to sense the presence or absence of vehicles within certain range by setting the appropriate duration for the traffic signals to react accordingly. By employing mathematical functions to calculate the appropriate timing … …American Journal of Applied Sciences, Vol. 3, Issue 3 · 6 Mar 2006 · 8,863 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzyNET: A Fuzzy Logic-Based Framework for Enhancing Urban Efficiency in Smart CitiesHemant Kumar, Safdar Tanweer, Parul Agarwal et al.The smart city paradigm emphasizes the strategic use of IoT, Big Data, and digital technologies to optimize urban operations and improve service delivery for citizens. Embedding digital technologies within operational workflows is driven by the objective of improving efficiency and long-term sustainability. The core transformation is Artificial Intelligence (AI) that revolutionizes management of cities through automation and instantaneous decisions based … …Journal of Computer Science, Vol. 22, Issue 7 · 19 Jul 2026 · 820 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractRoute Optimization using Hybrid GRU Learning Model for SDN and Edge-Based VANET TopologySavitha Kumar, Chandrasekar ChinnasamyIntelligent Transportation System (ITS) offersoutstanding features, including security applications and emergency alerts.Unfortunately, ITS limits traffic control services, adaptability, andadjustability due to the traffic volume. Hence, expanding the standard VehicularAd hoc Networks (VANET) framework is a requirement. As a result, in the latestdays, the concept of Software-Defined Networking based Vehicular Ad hocNetworks (SDN-VANETs) has drawn considerable attention, creating VANETssmarter. The SDN-VANETs … …Journal of Computer Science, Vol. 18, Issue 8 · 26 Aug 2022 · 6,160 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Interference Mitigation Techniques in 4G Networks in Mobile EnvironmentsEmna Hajlaoui, Abdelhakim Khlifi, Samia Dardouri et al.Intercell Interference (ICI) is one of the major factors that limit the performance and Quality of Service (QoS) of 4G wireless networks (Long Term Evolution/LTE-Advanced). For this reason, heterogeneous networks present an attractive solution for the improvement of mobile network’s services to provide better data rates and coverage. So, a key scheme in 4G traffic processing is the interference mitigation … …Journal of Computer Science, Vol. 15, Issue 12 · 25 Dec 2019 · 7,317 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputer Vision for Vulnerable Road Users using Machine LearningDevi Chilukuri, Sun Yi, Younho SeongTransportation has become a very important component for all ages in today’s life. However, seniors often find difficulty in travelling by public transport or even by their own vehicles. Thus, they are considered as Vulnerable Road Users (VRUs). This research mainly concentrates on creating an application that helps the elderly mobile users in virtually screening of directions using GPS, tracking … …Journal of Mechatronics and Robotics, Vol. 3, Issue 1 · 11 Mar 2019 · 7,078 accessesView PDFCite
Research ArticleOpen accessIn the abstractMULTI SCALE TIME SERIES PREDICTION FOR INTRUSION DETECTIONG. Palanivel, K. DuraiswamyWe propose an anomaly-based network intrusion detection system, which analyzes traffic features to detect anomalies. The proposed system can be used both in online as well as off-line mode for detecting deviations from the expected behavior. Although our approach uses network packet or flow data, it is general enough to be adaptable for use with any other network variable, which … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 27 Jun 2014 · 6,776 accessesView PDFCite
Research ArticleOpen accessIn the abstractUtility Based Scheduling and Call Admission Control for Long Term Evolution NetworksJ. Vijay Franklin, K. ParamasivamIn this study, we propose to design a call admission control algorithm which schedules the channels for Real time and non-real time users. In Long Term Evolution (LTE) 3GPP Networks, several works were done on call admission control but these works rarely considers scheduling of resources to the real time and non-real time users.When the system meets traffic oriented performance … …Journal of Computer Science, Vol. 8, Issue 12 · 13 Dec 2012 · 6,785 accessesView PDFCite