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111 articles for “intelligent transport systems”
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Multi-Sensor System for Underwater Pothole Detection to Enhance Road Safety During Monsoon Seasons
Abstract: Monsoon seasons across India and similar tropical regions severely compromise road safety by causing water accumulation that conceals dangerous potholes beneath stagnant pools, leading to frequent vehicle damage, tire punctures, and fatal accidents. Traditional detection methods relying on smartphone accelerometers, ultrasonic sensors, or machine vision fail under flooded conditions due to acoustic signal reflection at water surfaces and optical distortions from glare and turbidity. This research proposes an innovative multi-sensor …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Automatic Car Controller Based on Sign Board using Deep Learning and IOT
Abstract: The rapid growth of intelligent transportation systems has increased the demand for safer and more efficient driving solutions. Conventional vehicles often rely heavily on human intervention, which can lead to accidents due to negligence, fatigue, or poor visibility of traffic signs. This project proposes an automated car control system that utilizes deep learning and Internet of Things (IoT) technologies to recognize traffic signboards and respond accordingly. The primary objective is …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 2, 2026 · pp. 16–24 Read article
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Exploring Polymer Substrates for CBSIW Antennas: Paper and Denim for Enhanced Gain and Bandwidth
Abstract: This paper presents a novel approach to antenna design by leveraging the unique properties of paper and Denim materials, both of which are polymers. This research underscores the potential of unconventional polymer materials like paper and jeans in antenna design, offering new avenues for the development of lightweight, flexible, and cost-effective communication devices for diverse wireless applications. The study focuses on the design and analysis of non-conventional substrate-based Circular Backed …
Published in Journal of Polymer & Composites · Vol. 12, Issue 3, 2024 · pp. 64–80 Read article
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Role of Machine Vision in Autonomous Vehicles: A Review
Abstract: The integration of machine vision in autonomous vehicles (AVs) is a critical advancement in the field of intelligent transportation systems. Machine vision systems enable AVs to perceive their environment, understand road conditions, detect obstacles, and make real-time decisions necessary for safe navigation. These systems rely heavily on image processing techniques, which have evolved significantly over the past decade, leading to improved performance in complex driving scenarios. These developments are largely …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Green Energy and Intelligent Transportation: The Role of Composite Materials in Electric and Automotive Sectors
Abstract: The global transition toward sustainable mobility is accelerating, driven by mounting concerns over climate change, urban congestion, and the rapid development of green energy technologies. At the heart of this transformation lie intelligent transportation systems (ITS) and electric vehicles (EVs), which are collectively reshaping the future of modern transportation. Within this context, composite materials have emerged as key enablers, offering lightweight, durable, and energy-efficient solutions that enhance vehicle performance, range, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1096–1111 Read article
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Enhancement of Inter-vehicular Communication in VANET based on LEACH and AODV Protocol by Removing the Energy Holes
Abstract: Vehicular Ad-hoc Networks (VANET) is a particular kind of Mobile Ad-hoc network (MANET), in which vehicles on the road form the nodes of the networks. VANETs several applications are used in Intelligent Transportation System. The dynamic variation in topology shortens the forceful time of routing. Ad-hoc on Demand Distance Vector (AODV) routing protocol is the important routing protocol for VANET. It makes several unutilized routes between a source and a …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 3, Issue 1, 2016 · pp. 25–32 Read article
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Assessment of Traffic Accident at Baghdad Urban Area
Abstract: Road safety is a priority concern and it is one of the major issues in the planning for intelligent transportation system. Traffic fatalities in Iraq can be considered as the major cause of death rather than the terrorist operations for the last few years according to Central Statistical Organization of the Ministry of Interior. In this investigation, the data of Central Statistical Organization related to traffic accidents for the years …
Published in Trends in Transport Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 30–35 Read article
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A Review on Smart Parking System
Abstract: The Smart Parking System is an intelligent solution designed to reduce traffic congestion and save time by efficiently managing parking spaces using modern technology. To determine if a car is there or not, sensors are placed in each parking space in this system. The collected sensor data is processed by a microcontroller and transmitted to a display unit or mobile application, enabling users to access real-time information about parking availability. …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Design and Implementation of an Automatic Rain Sensing Wiper System Using SEN0545 Sensor and Raspberry Pi Pico W
Abstract: This study presents the design and development of an intelligent, automatic rain-sensing wiper system designed to enhance vehicle safety. The system utilizes a SEN0545 capacitive rain sensor, integrated with internal signal processing, and a Raspberry Pi Pico W microcontroller as its central control unit. The proposed approach enables non-contact and corrosion-free rain detection, ensuring reliable performance under varying environmental conditions. Based on the detected rainfall intensity, the controller dynamically adjusts …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 · pp. 16–25 Read article
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IoT-Enabled Sustainable Development: Architectures, Applications, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) has developed into a powerful technology that can help tackle key global sustainability issues by enabling real-time monitoring, supporting data-based decisions, and facilitating smart automation. By interconnecting physical devices, sensors, and communication networks, IoT enables continuous data collection and analysis that supports efficient resource utilization across multiple sectors such as energy, agriculture, water management, transportation, and urban infrastructure. Through smart sensing and automated control systems, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System
Abstract: Road accidents and vehicle instability caused by skidding, engine overheating, and improper braking behavior remain major concerns in modern transportation systems. This project presents an intelligent vehicle safety and accident detection system that integrates multiple sensors and control logic to enhance driving safety and reduce accident severity. A vibration sensor is employed to detect collision or impact events and accurately identify vehicle accidents. An accelerometer sensor is used for real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 9–19 Read article
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Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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Innovations in Civil Engineering: Advancing Infrastructure through AI Technology
Abstract: A comprehensive exploration of the intersection of civil engineering and artificial intelligence (AI) technology, highlighting the transformative impact of AI on infrastructure development, management, and sustainability. The journal encompasses a wide array of research articles, case studies, and reviews that demonstrate the integration of AI into various facets of civil engineering, including but not limited to smart infrastructure, predictive maintenance, structural analysis, and urban planning. By showcasing cutting-edge applications and …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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A Review Paper of Automated Driving & ADAS Technologies
Abstract: Automated driving and Advanced Driver Assistance Systems (ADAS) are transforming road mobility, promising enhanced safety, improved traffic efficiency, and greater accessibility. This review presents a comprehensive synthesis of core technologies, system architectures, sensor modalities, perception and decision-making algorithms, and evaluation methodologies underpinning contemporary ADAS and automated driving. We provide a detailed discussion of the functional components—sensors (camera, radar, LiDAR, ultrasonic), localization, perception, prediction, planning, control, and human–machine interfaces—and how these …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–8 Read article
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AI-Driven Intelligent Energy Management System for Enhancing Electric Vehicle Efficiency and Range
Abstract: Electric Vehicles (EVs) are crucial in mitigating the emission of greenhouse gases and facilitating sustainable transportation. Their performance is however limited by the capacity of the battery, unpredictable weather conditions and ineffective use of energy. The paper suggests an AI-based Intelligent Energy Management System (IEMS) to increase EV efficiency and driving range. The suggested system combines machine learning (ML), model predictive control (MPC), and real-time data analytics to optimize power …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Iris-Based Railway Systems: Advancements in Ticketing and Passenger Verification
Abstract: As railway transportation continues to expand and modernize, ensuring the safety and security of passengers, staff, and infrastructure has become a major priority. Traditional security methods, including manual identity verification, paper-based ticketing, and conventional access control systems, are often limited in their ability to prevent unauthorized access, identity fraud, and operational delays. To address these challenges, this paper explores the integration of biometric authentication technologies into railway systems as a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Carbon quantum dots (CQDs) and bioinspired photonic nanomaterials have emerged as promising multifunctional platforms for a wide range of applications in optoelectronics, nanomedicine, biosensing, fluorescence imaging, and photodynamic therapy. CQDs are nanoscale carbon-based materials characterized by unique optical and electronic properties, including size-dependent photoluminescence, high photostability, excellent water solubility, low cytotoxicity, and remarkable biocompatibility. These characteristics make them attractive alternatives to conventional semiconductor quantum dots for both technological and biomedical applications. Inspired by natural photonic systems such as photosynthetic light-harvesting complexes, rhodopsin-based photoreceptors, butterfly wings, and bioluminescent organisms, researchers have developed advanced nanostructures capable of efficient photon capture, energy transfer, and photoinduced charge separation. Recent advances in synthesis techniques, including hydrothermal, solvothermal, microwave-assisted, and green synthesis approaches, have enabled precise control over the size, surface chemistry, and optical properties of CQDs. Functionalization and heteroatom doping further enhance their photophysical performance and application versatility. In optoelectronics, CQDs have been incorporated into photodetectors, solar cells, light-emitting diodes, and flexible electronic devices due to their tunable emission characteristics and efficient charge transport properties. In the biomedical field, CQDs are increasingly utilized for targeted drug delivery, bioimaging, biosensing, and photodynamic therapy because of their excellent fluorescence behavior and biological compatibility. Furthermore, bioinspired photonic nanomaterials are being explored for artificial photosynthesis and sustainable energy conversion systems, where efficient light harvesting and electron transfer are critical. This review highlights recent developments in the synthesis, photophysical properties, and multifunctional applications of CQDs and related bioinspired photonic nanomaterials, while discussing current challenges and future opportunities for the development of intelligent nanophotonic and bioelectronic technologies.
Abstract: Carbon quantum dots (CQDs) and bioinspired photonic nanomaterials have emerged as promising multifunctional platforms for a wide range of applications in optoelectronics, nanomedicine, biosensing, fluorescence imaging, and photodynamic therapy. CQDs are nanoscale carbon-based materials characterized by unique optical and electronic properties, including size-dependent photoluminescence, high photostability, excellent water solubility, low cytotoxicity, and remarkable biocompatibility. These characteristics make them attractive alternatives to conventional semiconductor quantum dots for both technological and biomedical …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 16–24 Read article
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IOT and algorithmic intelligent motor health monitoring as well as maintenance prediction
Abstract: Manufacturing, transportation, and energy systems rely largely on industrial electric motors, and their untimely failure can result in expensive downtime, safety hazards, and decreased operational efficiency. The majority of traditional motor maintenance procedures rely on reactive methods or routine inspections, which frequently miss early-stage problems and lead to needless maintenance or unexpected breakdowns. This project offers an Intelligent Motor Health Monitoring and Predictive Maintenance System that combines Internet of Things …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 1, 2026 · pp. 28–37 Read article