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48 articles for “adaptive signal control”
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AI-Driven Real-Time Traffic Monitoring and Intelligent Control System: A Unified Deep Learning Framework for Smart Urban Mobility Management
Abstract: Urban traffic congestion imposes staggering economic and environmental costs on modern cities, with the INRIX Global Traffic Scorecard estimating annual per-driver productivity losses exceeding $1,348 in major metropolitan areas. Conventional traffic management infrastructure—fixed-cycle signal controllers, manual surveillance, and threshold-based incident detection—is fundamentally ill-equipped to address the dynamic, non-linear complexity of contemporary urban vehicular flows. This paper introduces TrafficNet-DRL, a unified deep learning and deep reinforcement learning framework for real-time traffic …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 2, 2026 · pp. 24–33 Read article
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Intersection Safety in Urban Environments: A Review of Risk Factors and Crash Patterns
Abstract: Urban intersections are critical points of interaction between multiple road users, including cars, buses, two-wheelers, cyclists, and pedestrians. As cities continue to expand rapidly, the density and complexity of traffic at intersections increase, making them among the most dangerous segments of the roadway network. Numerous studies show that intersections account for nearly half of all urban road crashes, making them central to safety research and planning. This review paper synthesizes …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 31–35 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Adaptive Traffic Control Systems: Enhancing Urban Mobility through Real-Time Traffic Management
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These devices dynamically modify signal …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 2, 2024 · pp. 37–45 Read article
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Smart Bionic Hand: Combining Hardware and AI For Adaptive Prosthetic Functionality
Abstract: This research paper presents the development and integration of a bionic arm that leverages both hardware components and artificial intelligence (AI) models for enhanced functionality and user interaction. The hardware design includes key components such as servo motors, an Arduino UNO microcontroller, electromyography (EMG) sensors, and a lithium-ion battery. The EMG sensors detect muscle signals, which serve as inputs for controlling the arm's movements, while the servo motors are responsible …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 2, 2025 · pp. 1–7 Read article
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Machine Learning-Driven Polymer Composite Smart Skin for Integrated Sensing in Soft Robotic Systems
Abstract: Soft robotics has grown rapidly, but its progress is still constrained by the limitations of current sensing skins. Most polymer-based sensors provide either flexibility or sensitivity, yet they struggle to deliver real-time communication and adaptive intelligence when deployed in complex robotic environments. This disconnect between material performance and system-level responsiveness forms a critical bottleneck for practical deployment. Existing approaches often treat tactile sensing and wireless communication as separate problems. As …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 121–136 Read article
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Implementation of Adaptive Control Braking System for Collision-free Driving on Virtual Instrumentation Platform
Abstract: An unaccustomed driver not always has a sound judgment of the surrounding traffic and frequently depresses the brake pedal, causing a poor, jerky drive. Hence, nowadays in high-end cars to provide comfort to passengers while applying sudden brakes without jerks and also in time to avoid collision the adaptive control braking system is used. The main objective of this research study is to automatically monitor the braking force required to …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 50–57 Read article
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VLSI Based Traffic Light Controller
Abstract: This study details the development and realization of an advanced traffic light control system utilizing VHDL (Very High-Speed Integrated Circuit Hardware Description Language) in conjunction with FPGA (Field Programmable Gate Array) technology. The system is designed to regulate a four-way intersection, with one primary high-traffic road intersecting with a less congested side road. To enhance traffic efficiency and minimize idle times, the model incorporates intelligent features such as a vehicle …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 40–47 Read article
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Investigations On Use of Poly(3,4-Ethylenedioxythiophene): Poly (Styrene Sulfonic Acid) (PEDOT: PSS) Conductive Polymers for Design of Improved EEG Based Brain Computer Interface for Seizure Control and Analysis
Abstract: This research explores the application of Poly(3,4-ethylenedioxythiophene):poly(styrene sulfonic acid) (PEDOT:PSS) conductive polymers in the design of an enhanced Electroencephalography (EEG)-based Brain-Computer Interface (BCI) for seizure control and analysis. PEDOT: PSS, known for its high conductivity, flexibility, and biocompatibility, is employed to improve the efficiency and sensitivity of EEG electrodes, addressing challenges such as signal noise, skin-electrode impedance, and user comfort. The study evaluates the material’s properties, including its electrical conductivity, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 223–241 Read article
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Swarm Intelligence: Nature-Inspired Problem Solving
Abstract: Swarm Intelligence (SI) is a computational paradigm inspired by the collective behavior of natural systems, such as flocks of birds, schools of fish, and colonies of ants. It involves decentralized, self- organized systems where simple agents follow simple rules, yet their interactions lead to complex global behaviors. SI has gained significant attention in recent years due to its potential applications in solving optimization problems, routing, scheduling, and artificial intelligence tasks. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 3, 2025 Read article
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Graphene–Perovskite Hybrid Opto-Electronic Modulators for Ultra-Low Power Optical Communication
Abstract: This paper proposes a novel self-adaptive neuromorphic opto-electronic transceiver architecture designed to enhance the intelligence, adaptability, and efficiency of next-generation optical communication networks. The proposed system integrates neuromorphic computing principles with photonic signal processing to enable real-time learning, dynamic resource allocation, and autonomous compensation of channel impairments such as dispersion, nonlinearities, and noise. Unlike conventional transceivers, the developed model employs spiking neural networks embedded within opto-electronic circuits to mimic biological …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 41–52 Read article
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A study on Controlling Artificial Heart
Abstract: The artificial heart has moved from a visionary concept to a clinically viable organreplacement technology, yet its longterm success hinges on the sophistication of its control architecture. This paper presents a comprehensive investigation of closedloop control strategies that enable an artificial heart to mimic the dynamic, beattobeat adaptability of its biological counterpart. We first construct a highfidelity cardiovascular model that integrates ventricular elastance, systemic and pulmonary vascular compliance, and realtime …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 14–23 Read article
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Thermally Adaptive Bio-Inspired VLSI Interconnect Model for Next-Generation Embedded Systems
Abstract: The increasing complexity of next-generation embedded systems has intensified the challenges associated with power dissipation, thermal instability, signal integrity, and interconnect reliability in Very Large- Scale Integration (VLSI) architectures. This research proposes a thermally adaptive bio-inspired VLSI interconnect model designed to enhance communication efficiency and thermal resilience in advanced embedded platforms. The proposed model integrates bio-inspired adaptive routing principles with dynamic thermal-aware interconnect management to optimize data transmission under varying …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Lyapunov-Stable Adaptive Fractional-Order Interval Type-2 Fuzzy Control for Robust Anti-Lock Braking Under Uncertain Road Adhesion Conditions
Abstract: This paper proposes a Lyapunov-stable Adaptive Fractional-Order Interval Type-2 Fuzzy Logic Controller (FO-IT2FLC) for robust anti-lock braking system (ABS) control under nonlinear vehicle dynamics and uncertain road adhesion conditions. The proposed framework integrates fractional-order error dynamics to capture memory-dependent tire–road interaction, interval Type-2 fuzzy inference to model uncertainty via footprint-of-uncertainty representation, and a Lyapunov-based adaptive learning mechanism for real-time parameter tuning. A rigorous stability proof guarantees boundedness of all closed-loop …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 31–41 Read article
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Adaptive Hysteresis Band Current Controller for the Shunt Active Power Filter Using the d-q0 Reference Frame Theory
Abstract: Recent wide spread applications of power electronic equipment has caused an increase of the harmonic disturbances in the power systems. The nonlinear loads draw harmonic and reactive power components of current from AC mains. Here an adaptive hysteresis band current controlled shunt active power filter is presented to eliminate harmonics and to compensate the reactive power of three-phase rectifier. This current controller changes the hysteresis bandwidth according to modulation frequency, …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 2, 2020 · pp. 1–7 Read article
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Reduction of Harmonics for Isolated Diesel Generation System with DSTATCOM Using Fuzzy
Abstract: This paper presents the compensation of reactive power, harmonics, and unbalanced load current of diesel generator set for an isolated system by controlling voltage source convertor (VSC) which is working as distribution static synchronous compensator (DSTATCOM). Here least mean square based adaptive linear element (ADALINE) is use to extract balanced positive sequence real fundamental frequency component of the load current for converter and used to control DSTATCOM. For fast dynamic …
Published in Journal of Automobile Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 12–22 Read article
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Spatiotemporal Analysis of Mean-Field Coupled Lorenz Oscillators for Applications in Electronic Network Design and Chaotic Synchronization
Abstract: This study investigates the spatiotemporal behavior of a network of 100 coupled Lorenz oscillators interacting through mean-field coupling with coupling strength κ = 0.1 and explores its relevance to electronic system design and nonlinear network architectures. While each oscillator follows classical Lorenz dynamics, the coupling mechanism enables collective behavior that resembles synchronization phenomena observed in distributed electronic and communication systems. Numerical simulations reveal rich dynamical characteristics including partial synchronization, emergent …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 1–9 Read article
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An Ultra-Low Latency Embedded sEMG-Based Intelligent Control System for Wireless Assistive Wheelchair Navigation Using ESP- NOW Protocol
Abstract: This research provides an ultra-low-latency intelligent control framework for wireless assistive wheelchair movement through single-channel surface electromyography (sEMG) and the ESP-NOW communication technology. The framework presented incorporates sEMG acquisition, simple real-time signal processing, determinable decision logic, and wireless communication for controlling the devices using inexpensive ESP32/ESP8266 microcontrollers. It also allows a system to function as an effective interface between a person and a machine suffering from severe motor disability. The …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 3, 2026 Read article
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Adaptive Traffic Light Control System- A PLC Approach
Abstract: This paper presents the adaptive approach for traffic light control system by using programmable Logic ladder for the monitoring the PLC based traffic light system which helps in improving public transport service & traffic guidance system. System developed by setting the appropriate duration for traffic signals for react accordingly. In the rapid growing vigorously countries like India, accident occurred in huge numbers due to unmannered level of crossings are increasingly …
Published in Current Trends in Signal Processing · Vol. 12, Issue 1, 2022 · pp. 15–20 Read article
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Wireless I/O Interfaces for Industrial Controllers: An Educational Approach
Abstract: Due to technological advances, the need for versatile and flexible applications in the field of industrial automation is continuously growing. Digitalization, flexibility, connectivity, high-speed transmission, data analysis and integration of different systems are now requirements in most industries. Industrial communication networks are the main tool in accomplishing those requirements. The proposed work is focused in the development of a solution for collecting remote field signals and transmit them by wireless …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 8–25 Read article