Log in

Relevant bibliographies by topics / Data Traffic Management System (Computer system) / Journal articles

To see the other types of publications on this topic, follow the link: Data Traffic Management System (Computer system).

Journal articles on the topic 'Data Traffic Management System (Computer system)'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Data Traffic Management System (Computer system).'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Hizriadi, Ainul, Radea Shiddiq, Ivan Jaya, and Santi Prayudani. "Network Device Monitoring System based on Geographic Information System dan Simple Network Management Protocol." JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING 3, no. 2 (2020): 216–23. http://dx.doi.org/10.31289/jite.v3i2.3187.

Full text

Abstract:

Network infrastructure monitoring is an important part of an institute to maintain the stability of computer network devices. One of the functions of computer network monitoring is to find out the data traffic generated in network application. Simple Network Management Protocol is one of protocols for monitoring the data traffic in network device. However, network device administrators still have problems when they want to monitor their network infrastructure, such as device location and data traffic information of network device that is only temporarily stored in the monitoring system, and ph

APA, Harvard, Vancouver, ISO, and other styles

2

Sakhuja, Ansh. "Intelligent Traffic Management System using Computer Vision and Machine Learning." Innovative Research Thoughts 9, no. 5 (2023): 1–10. http://dx.doi.org/10.36676/irt.2023-v9i5-001.

Full text

Abstract:

With urban traffic management becoming more and more complex, a ground-breaking system called "Intelligent Traffic Management System using Computer Vision and Machine Learning" was created to address these issues. It makes use of the strength of two innovative technologies: computer vision and machine learning. The system can receive and analyze visual data from cameras placed across roads thanks to computer vision, and machine learning gives it the ability to learn from this data and come to wise conclusions without explicit programming.

APA, Harvard, Vancouver, ISO, and other styles

3

Basha, MD Chan. "AI Based Traffic Control System." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48317.

Full text

Abstract:

This project explores the development of an AI-based traffic control system aimed at enhancing urban traffic management. By utilizing machine learning algorithms and real-time data from various sources, including traffic cameras, sensors, and GPS devices, the system analyzes traffic patterns and predicts congestion. We are using several AI and ML models, including Reinforcement Learning, Deep Learning, Neural Network and also Computer Vision. The integration of vehicle to infrastructure communication further enhances responsiveness, allowing for timely updates to drivers. Simulation results in

APA, Harvard, Vancouver, ISO, and other styles

4

Journal, IJSREM. "Advanced Drone Surveillance System for Traffic Management." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 02 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem28534.

Full text

Abstract:

The rapid urbanization and increasing vehicle traffic in metropolitan areas have given rise to a significant challenges in traffic management. Traditional methods of a traffic monitoring and control often struggle to cope with the dynamic and complex nature of urban traffic patterns. In this context, we propose an innovative Drone Surveillance System for Traffic Management to revolutionize the way traffic is monitored, analyzed, and optimized in urban environments. Our system leverages state-of-the-art drone technology equipped with advanced sensors, high-resolution cameras, and intelligent al

APA, Harvard, Vancouver, ISO, and other styles

5

S, Pavithra. "Smart Traffic Management and Detection System Using AI and Computer Vision." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47175.

Full text

Abstract:

ABSTRACT The Smart Traffic Management and Violation Detection System integrates AI and Computer Vision to optimize traffic control and detect violations. By analyzing real-time video feeds from surveillance cameras, it adjusts traffic signal timings based on vehicle density, reducing congestion and delays. The system automatically detects violations such as red light jumping, helmetless riding, over speeding, and wrong-lane driving using object detection and OCR techniques. Violators’ license plates are recorded, and penalty notices are generated automatically. This solution enhances road safe

APA, Harvard, Vancouver, ISO, and other styles

6

Sowmya, B. "Adaptive Traffic Management System using CNN (YOLO)." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (2021): 3726–32. http://dx.doi.org/10.22214/ijraset.2021.35768.

Full text

Abstract:

The huge number of vehicles on the roadways is making congestion a significant problem. The line longitudinal vehicle waiting to be processed at the crossroads increases quickly, and the traditionally used traffic signals are not able to program it properly. Manual traffic monitoring may be an onerous job since a number of cameras are deployed over the network in traffic management centers. The proactive decision-making of human operators, which would decrease the effect of events and recurring road congestion, might contribute to the easing of the strain of automation.The traffic control fram

APA, Harvard, Vancouver, ISO, and other styles

7

Zhang, Jinxi, Wenying Zhu, Xueying Wu, and Tianshan Ma. "Traffic State Detection Based on Multidimensional Data Fusion System of Internet of Things." Wireless Communications and Mobile Computing 2021 (July 2, 2021): 1–12. http://dx.doi.org/10.1155/2021/1374186.

Full text

Abstract:

In recent years, the rapid development of cloud computing, mobile Internet, Internet of Things, and other technologies has accelerated the explosive growth of the number and types of data in various industries. As one of the current hot research fields, the multidimensional data fusion system has received widespread attention all over the world. Road traffic and traffic management involve a wide range of participants; a variety of traffic behavior and traffic management means have produced a huge volume of traffic management data and have a very high application value. Therefore, it is of grea

APA, Harvard, Vancouver, ISO, and other styles

8

Yuan, Yuan, Zhi Yong Liu, Huai Kun Xiang, and Ze Feng Ding. "Traffic Survey System Based on GPS, GPRS and GIS." Advanced Materials Research 328-330 (September 2011): 989–97. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.989.

Full text

Abstract:

Referring to research findings of existing traffic survey instrument, this paper bases on electronic traffic survey counter to insert GPRS module, micro-program controller, vehicle type selection keyboard and direction selection keyboard, and utilizes computer technology to establish data processing platform, studies and designs the traffic survey system on the basis of GPS, GPRS and GIS. This system can realize real-time monitoring on surveyors, accurate and timely transmission and processing of survey data, and automatic analysis and management of survey data.

APA, Harvard, Vancouver, ISO, and other styles

9

Wei, Xin Hua, Xian Xing Duan, and Xiao Kan Wang. "Application of PLC in the Expressway Intelligent Traffic Control System." Applied Mechanics and Materials 361-363 (August 2013): 2219–23. http://dx.doi.org/10.4028/www.scientific.net/amm.361-363.2219.

Full text

Abstract:

The expressway intelligent traffic control system based on S7-200 series Programmable Logic Controller (PLC) was introduced in this paper.PLC has strong adaptability in the complex environment and rich internal timer resources, it is easily to realize accuracy controlling the traffic lights, specially for multi-crossroads.PLC analyzed and processed the signals of the body flow, speed, vehicle size and other data by the sense coil, then transmitting the information to the host computer. The host computer might automatically adjust the length of time from the final signal to achieve intelligent

APA, Harvard, Vancouver, ISO, and other styles

10

Pedraza-Farías, Sulma-Rocío, Gustavo Cáceres-Castellanos, and Jorge-Enrique Quevedo-Reyes. "Smart Mobility: Road Incident Monitoring System for Urban Traffic Management." Revista Facultad de Ingeniería 34, no. 71 (2025): e19015. https://doi.org/10.19053/uptc.01211129.v34.n71.2025.19015.

Full text

Abstract:

This article describes the process, tools, and technological platforms used to implement a computer system that collects, processes, transforms, stores, and analyzes real-time traffic incidents. This system, fed by data from the Waze application accessed through the Waze for Cities program, aims to support decision-making in urban traffic management. Its implementation uses a spiral methodology that generates evolutionary deliveries, progressing towards more complete versions. The architecture, components, and data flow are detailed, allowing to get interactive and summarized views of the info

APA, Harvard, Vancouver, ISO, and other styles

11

Zhang, Yining. "Research and Application of Intelligent Pedestrian Traffic Light System." Communications in Humanities Research 44, no. 1 (2024): 139–48. http://dx.doi.org/10.54254/2753-7064/44/20240076.

Full text

Abstract:

This study aims to develop an intelligent pedestrian traffic light system that utilizes artificial intelligence and visual learning technology to optimize the intelligent management of traffic lights, in order to improve traffic efficiency, reduce traffic congestion, reduce the incidence of traffic accidents, and provide people with a safer and more convenient travel environment. The research team uses high-definition cameras to capture pedestrians and vehicles in real-time, and uses computer vision technology for pedestrian and vehicle detection and feature extraction. Through age classificat

APA, Harvard, Vancouver, ISO, and other styles

12

Zhang, Yining. "Research and Application of Intelligent Pedestrian Traffic Light System." Communications in Humanities Research 36, no. 1 (2024): 148–57. http://dx.doi.org/10.54254/2753-7064/36/20240076.

Full text

Abstract:

This study aims to develop an intelligent pedestrian traffic light system that utilizes artificial intelligence and visual learning technology to optimize the intelligent management of traffic lights, in order to improve traffic efficiency, reduce traffic congestion, reduce the incidence of traffic accidents, and provide people with a safer and more convenient travel environment. The research team uses high-definition cameras to capture pedestrians and vehicles in real-time, and uses computer vision technology for pedestrian and vehicle detection and feature extraction. Through age classificat

APA, Harvard, Vancouver, ISO, and other styles

13

Zhou, Xiong. "The Analysis and Design of the Computer Network Traffic Monitor." Applied Mechanics and Materials 556-562 (May 2014): 6791–94. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.6791.

Full text

Abstract:

The important work of the network management in real-time network monitoring, network monitoring network traffic, the state, the collection of behavioral information, the information will be collected for statistical analysis, network traffic status data, and network traffic information collected includes dynamic information and static information, on this basis, conducted a study of network traffic monitoring and management system.

APA, Harvard, Vancouver, ISO, and other styles

14

Xu, Wei, and Yujin Zhai. "Cross-modal biometric fusion intelligent traffic recognition system combined with real-time data operation." Open Computer Science 12, no. 1 (2022): 332–44. http://dx.doi.org/10.1515/comp-2022-0252.

Full text

Abstract:

Abstract Intelligent traffic recognition system is the development direction of the future traffic system. It effectively integrates advanced information technology, data communication transmission technology, electronic sensing technology, control technology, and computer technology into the entire ground traffic management system. It establishes a real-time, accurate, and efficient integrated transportation management system that plays a role in a wide range and all directions. The aim of this article is to integrate cross-modal biometrics into an intelligent traffic recognition system combi

APA, Harvard, Vancouver, ISO, and other styles

15

Fang, Yu, Dong Liang Zhang, Chun Gang Yan, Hong Zhong Chen, and Changjun Jiang. "Service and Management Oriented Traffic Information Grid." International Journal of Distributed Systems and Technologies 1, no. 4 (2010): 14–26. http://dx.doi.org/10.4018/jdst.2010100102.

Full text

Abstract:

Traffic information service plays an important role in one’s daily life. However, traffic information processing is very complicated because of its dynamic, cooperative and distributed features. This paper presents the Service and Monitoring Oriented Traffic Information Grid. In this system, it is a remarkable characteristic to provide real-time, dynamic information services for travelers and traffic managers by grid technology. The system provides travelers with services of optimized route scheme, bus arrival prediction based on real-time route status, and route status forecast. For traffic m

APA, Harvard, Vancouver, ISO, and other styles

16

Mičko, Kristián, and Peter Papcun. "Parking Management System Based on Key Points Detection." Acta Electrotechnica et Informatica 23, no. 3 (2023): 33–39. http://dx.doi.org/10.2478/aei-2023-0015.

Full text

Abstract:

Abstract In urban areas, efficient parking management is crucial for reducing traffic congestion and environmental impact. This research introduces a new view for making the parking management system that leverages the capabilities of the NVidia Jetson Nano Single Board Computer (SBC) and OpenCV for real-time detection and classification of parking slot occupancy. Unlike traditional systems that rely on intrusive sensors, our proposed solution employs non-intrusive Oriented Fast and Rotated Brief (ORB) key point detection techniques using video feeds. The system architecture integrates video s

APA, Harvard, Vancouver, ISO, and other styles

17

Balasubramanian, Saravana Balaji, Prasanalakshmi Balaji, Asmaa Munshi, et al. "Machine learning based IoT system for secure traffic management and accident detection in smart cities." PeerJ Computer Science 9 (March 8, 2023): e1259. http://dx.doi.org/10.7717/peerj-cs.1259.

Full text

Abstract:

In smart cities, the fast increase in automobiles has caused congestion, pollution, and disruptions in the transportation of commodities. Each year, there are more fatalities and cases of permanent impairment due to everyday road accidents. To control traffic congestion, provide secure data transmission also detecting accidents the IoT-based Traffic Management System is used. To identify, gather, and send data, autonomous cars, and intelligent gadgets are equipped with an IoT-based ITM system with a group of sensors. The transport system is being improved via machine learning. In this work, an

APA, Harvard, Vancouver, ISO, and other styles

18

Luther, Kington Nwobodo. "Intelligent Traffic Control, Gathering and Monitoring Traffic Data Using CCTV Images." Contemporary Research Analysis Journal 02, no. 01 (2025): 40–51. https://doi.org/10.5281/zenodo.14697334.

Full text

Abstract:

Abstract Although the number of automobiles on the road currently is more than it was a few years ago, the infrastructure of roads and traffic systems has not kept up with this expansion, which makes handling traffic challenging. This mismatch causes hence a lot of traffic congestion, crowding, and pollution. All throughout the globe, handling increasing traffic is a major challenge. Operations depend on traffic management in great part. It has to do with planning, running, and purchasing the necessary transportation services—cars, trucks, railroads, boats—that carry commodities an

APA, Harvard, Vancouver, ISO, and other styles

19

Gaonkar, Needhi U. "Road Traffic Analysis Using Computer Vision." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 2002–6. http://dx.doi.org/10.22214/ijraset.2021.37630.

Full text

Abstract:

Abstract: Traffic analysis plays an important role in a transportation system for traffic management. Traffic analysis system using computer vision project paper proposes the video based data for vehicle detection and counting systems based on the computer vision. In most Transportation Systems cameras are installed in fixed locations. Vehicle detection is the most important requirement in traffic analysis part. Vehicle detection, tracking, classification and counting is very useful for people and government for traffic flow, highway monitoring, traffic planning. Vehicle analysis will supply w

APA, Harvard, Vancouver, ISO, and other styles

20

Tantaoui, Mouad, Mehdi Moukhafi, and Idriss Chana. "Big data vehicle density management in vehicular ad-hoc network." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 314. http://dx.doi.org/10.11591/ijeecs.v33.i1.pp314-323.

Full text

Abstract:

<span>Smart city project is today a domain of interest to community research which play well-known role in road traffic management. Data exchange became complicated in terms of capacity in the intelligent transport system (ITS), and without the raise of big data, the treatment is very difficult to manage. vehicular ad-hoc network (VANETs) faces many challenges mainly the voluminous data generated by different actors of VANET environment. <br /> We propose a real time anomalies detection system in an instantaneous way with parallel data treatment. The system method intends to comput

APA, Harvard, Vancouver, ISO, and other styles

21

Niture, Deeplaxmi V., Vivekanand Dhakane, Piyush Jawalkar, and Ankit Bamnote. "Smart Transportation System using IOT." International Journal of Engineering and Advanced Technology 10, no. 5 (2021): 434–38. http://dx.doi.org/10.35940/ijeat.e2870.0610521.

Full text

Abstract:

In this paper a Smart Vehicle Assistance and Monitoring system (SVAMS) is presented. SVAMS is an intelligent transportation system (ITS), developed to tackle various traffic related issues. It is a traffic management, monitoring and optimization solution in which all the vehicles are interconnected through Zigbee and are monitored and assisted centrally, by a data center. The system has two parts; one part is mounted in/on the vehicle and the other part is at the data centre. Part one collects data from various sensors and transmits it to central data centre. All the data will be stored on clo

APA, Harvard, Vancouver, ISO, and other styles

22

Umar, Rusydi, Imam Riadi, and Ridho Surya Kusuma. "Mitigating Sodinokibi Ransomware Attack on Cloud Network Using Software-Defined Networking (SDN)." International Journal of Safety and Security Engineering 11, no. 3 (2021): 239–46. http://dx.doi.org/10.18280/ijsse.110304.

Full text

Abstract:

Sodinokibi Ransomware virus becomes a severe threat by targeting data encryption on a server, and this virus infection continues to spread to encrypt data on other computers. This study aims to mitigate by experiment with building a prevention system through computer network management. The mitigation process is carried out through static, dynamic, and Software-Defined Networking (SDN) analysis to prevent the impact of attacks through programmatic network management. SDN consists of two main components in its implementation, the Ryu controller and Open Virtual Switch (OVS). Result testing miti

APA, Harvard, Vancouver, ISO, and other styles

23

VOLOSHCHUK, Lyudmila, and Oleksandr SBITNEV. "HYBRID CLOUD-BASED INTELLIGENT TRAFFIC MONITORING IOT SYSTEM FOR A RESIDENTIAL AREA." Advanced Information Technology, no. 1 (3) (2024): 83–96. https://doi.org/10.17721/ait.2024.1.10.

Full text

Abstract:

B a c k g r o u n d . This paper presents a new architecture for an intelligent transportation system (ITS) that leverages Internet of Things (IoT) technologies and the Azure cloud platform. The scientific novelty lies in the development of an architecture that integrates edge computing, cloud services, and machine learning algorithms for adaptive traffic management based on real-time data. The proposed architecture efficiently processes traffic flow information, performs modeling, and automatically adjusts traffic signals to reduce congestion. The effectiveness of the architecture has been va

APA, Harvard, Vancouver, ISO, and other styles

24

Tantaoui, Mouad, Mehdi Moukhafi, and Idriss Chana. "Big data vehicle density management in vehicular ad-hoc network." Indonesian Journal of Electrical Engineering and Computer Science 33, no. 1 (2024): 314–23. https://doi.org/10.11591/ijeecs.v33.i1.pp314-323.

Full text

Abstract:

Smart city project is today a domain of interest to community research which play well-known role in road traffic management. Data exchange became complicated in terms of capacity in the intelligent transport system (ITS), and without the raise of big data, the treatment is very difficult to manage. vehicular ad-hoc network (VANETs) faces many challenges mainly the voluminous data generated by different actors of VANET environment. We propose a real time anomalies detection system in an instantaneous way with parallel data treatment. The system method intends to compute precisely vehicle

APA, Harvard, Vancouver, ISO, and other styles

25

Nguyen, Hoang Phuong, Phuoc Quy Phong Nguyen, and Viet Duc Bui. "Applications of Big Data Analytics in Traffic Management in Intelligent Transportation Systems." JOIV : International Journal on Informatics Visualization 6, no. 1-2 (2022): 177. http://dx.doi.org/10.30630/joiv.6.1-2.882.

Full text

Abstract:

Big Data technology is emerging as a mass technology that can be applied to many industries in life. Decisions in a wide range of fields may benefit greatly from the information provided by Big Data and Analytics research. One of the areas that have benefited the most from this technology is transportation, which is known as an important field in the development of each nation and possesses a huge treasure of data that traditional technologies cannot handle. Indeed, many countries have applied Big Data-based intelligent transportation systems because it is a traffic system that interacts with

APA, Harvard, Vancouver, ISO, and other styles

26

Pedroso, Carlos, Thiago S. Gomides, Daniel L. Guidoni, Michele Nogueira, and Aldri L. Santos. "A Robust Traffic Information Management System Against Data Poisoning in Vehicular Networks." IEEE Latin America Transactions 20, no. 12 (2022): 2421–28. http://dx.doi.org/10.1109/tla.2022.9905610.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Chen, Qian. "Coordinated Development of Urban Intelligent Transportation Data System and Supply Chain Management." Journal of Advanced Transportation 2022 (May 5, 2022): 1–11. http://dx.doi.org/10.1155/2022/6308728.

Full text

Abstract:

With the development of the urban economy, the number of people using various means of transportation is also increasing, resulting in a huge workload of the traffic data system and prone to errors. Supply chain management can formulate a reasonable production plan according to the comprehensive information data generated by the supply chain management system, such as market demand analysis, purchasing demand analysis, and supplier assessment and evaluation. Therefore, this paper proposes the coordinated development of urban intelligent transportation data system and supply chain management, s

APA, Harvard, Vancouver, ISO, and other styles

28

NEAMTU, Andrei, Anton BALABAN, Sorin BERBENTE, et al. "Study on the practical method implementation of the navigation equations in a simulated FMS." INCAS BULLETIN 15, no. 2 (2023): 67–73. http://dx.doi.org/10.13111/2066-8201.2023.15.2.7.

Full text

Abstract:

This paper presents the main objective of Air Traffic Management Systems – ATMS that is to achieve optimized performance in terms of aviation safety and the enhancement of the current air transport system, through the in-depth study of the complex integration of all advanced technologies regarding air traffic monitoring, aeronautical communications on-board computers, display and control systems within the extended framework of Air Traffic Services - ATS. The Flight Management System - FMS is indispensable for flight planning, air navigation, flight performance management, aircraft guidance on

APA, Harvard, Vancouver, ISO, and other styles

29

Benmessaoud, Youssef, Loubna Cherrat, and Mostafa Ezziyyani. "Real-Time Self-Adaptive Traffic Management System for Optimal Vehicular Navigation in Modern Cities." Computers 12, no. 4 (2023): 80. http://dx.doi.org/10.3390/computers12040080.

Full text

Abstract:

The increase in private car usage in cities has led to limited knowledge and uncertainty about traffic flow. This results in difficulties in addressing traffic congestion. This study proposes a novel technique for dynamically calculating the shortest route based on the costs of the most optimal roads and nodes using instances of road graphs at different timeslots to help minimize congestion for actual drivers in urban areas. The first phase of the study involved reducing traffic congestion in one city. The data were collected using a mobile application installed on more than 10 taxi drivers’ p

APA, Harvard, Vancouver, ISO, and other styles

30

Ravikanth, Konda. "Automating Traffic Flow and Incident Detection Using Computer Vision in Smart City Transport Systems." INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH AND CREATIVE TECHNOLOGY 6, no. 1 (2020): 1–9. https://doi.org/10.5281/zenodo.15349621.

Full text

Abstract:

The rapid growth of urbanization has turned traffic congestion and road safety into pressing issues in cities globally. Conventional traffic management systems based on legacy infrastructure, such as inductive loop detectors and fixed cameras, are basically reactive, need human intervention, and are not adaptable enough to cope with dynamic traffic scenarios. Computer vision, powered by deep learning, is an intelligent, scalable, and data-driven method for managing road networks.This paper describes an integrated framework of smart city traffic management with the use of computer vision and ma

APA, Harvard, Vancouver, ISO, and other styles

31

Sonnleitner, Erik, Oliver Barth, Alexander Palmanshofer, and Marc Kurz. "Traffic Measurement and Congestion Detection Based on Real-Time Highway Video Data." Applied Sciences 10, no. 18 (2020): 6270. http://dx.doi.org/10.3390/app10186270.

Full text

Abstract:

Since global road traffic is steadily increasing, the need for intelligent traffic management and observation systems is becoming an important and critical aspect of modern traffic analysis. In this paper, we cover the development and evaluation of a traffic measurement system for tracking, counting and classifying different vehicle types based on real-time input data from ordinary highway cameras by using a hybrid approach including computer vision and machine learning techniques. Moreover, due to the relatively low framerate of such cameras, we also present a prediction model to estimate dri

APA, Harvard, Vancouver, ISO, and other styles

32

Ayoubi, Majid, Hasibullah Aman, Rohullah Akbari, and Hedayatullah Lodin. "AI-Enabled Traffic Light Control System: An Efficient Model to Manage the Traffic at Intersections using Computer Vision." International Journal of Integrated Science and Technology 2, no. 8 (2024): 767–94. http://dx.doi.org/10.59890/ijist.v2i8.2438.

Full text

Abstract:

Traffic congestion is a significant issue with studies indicating it costs cities billions annually and averages 54 hours of wasted time per traveler each year. This situation necessitates the implementation of efficient traffic management systems, especially at intersections. In response to this challenge, our work introduces an artificial intelligence-based system designed to analyze and predict traffic flow using machine learning algorithms and deep learning methods in conjunction with traffic cameras. The model comprises two main components: real-time data collection and predictive modelin

APA, Harvard, Vancouver, ISO, and other styles

33

Nadee, Prakai, and Preecha Somwang. "Efficient incremental data backup of unison synchronize approach." Bulletin of Electrical Engineering and Informatics 10, no. 5 (2021): 2707–15. http://dx.doi.org/10.11591/eei.v10i5.2212.

Full text

Abstract:

Data communication and computer networks have enormously grown in every aspect of businesses. Computer networks are being used to offer instantaneous access to information in online libraries around the world. The popularity and importance of data communication has produced a strong demand in all sectors job for people with more computer networking expertise. Companies need workers to plan, use and manage the database system aspects of security. The security policy must apply data stored in a computer system as well as information transfer a network. This paper aimed to define computer data ba

APA, Harvard, Vancouver, ISO, and other styles

34

Rampure, Rahul, Raghav Tiruvallur, Vybhav Acharya, Shashank Navad, and P. Preethi. "Air Traffic Management Using a GPU-Accelerated Genetic Algorithm." Transport and Telecommunication Journal 24, no. 3 (2023): 266–77. http://dx.doi.org/10.2478/ttj-2023-0021.

Full text

Abstract:

Abstract Air traffic management is becoming highly complex with the rapid increase in the number of commercial and cargo flights, leading to increased traffic congestion and flight delays. To mitigate these issues, we present a flight path generation system that distributes the aeroplanes across the airspace and imparts minimal delays to the flight if required, thus ensuring that the aircraft follows the shortest route wherein it encounters the least amount of traffic. We develop a parallel genetic algorithm in CUDA-C with a novel fitness function allowing the system to reach an optimal soluti

APA, Harvard, Vancouver, ISO, and other styles

35

Dong, Fei, and Yuanyuan Ma. "Railway Traffic Emergency Management Relying on Image Recognition Technology in the Context of Big Data." Computational Intelligence and Neuroscience 2022 (June 30, 2022): 1–12. http://dx.doi.org/10.1155/2022/1920196.

Full text

Abstract:

With the full popularity of China’s railwayization process, it has brought about the problem of the management ability of railway traffic safety. Railway traffic safety emergency management capabilities are low. When an accident occurs, clearer data cannot be obtained in the first time to have a general understanding of the accident. Therefore, the problem of organizing rescue has always plagued relevant railway workers. This study aims to study the improvement of railway traffic emergency management based on image recognition technology in the context of big data. To this end, this study prop

APA, Harvard, Vancouver, ISO, and other styles

36

Humayun, Mamoona, Sadia Afsar, Maram Fahaad Almufareh, N. Z. Jhanjhi, and Mashayel AlSuwailem. "Smart Traffic Management System for Metropolitan Cities of Kingdom Using Cutting Edge Technologies." Journal of Advanced Transportation 2022 (September 29, 2022): 1–13. http://dx.doi.org/10.1155/2022/4687319.

Full text

Abstract:

The expansion of technology in metropolitan centers draws people to cities, which causes excessive traffic on the roadways during peak hours. This exacerbated the traffic situation, resulting in a delay, a loss of resources, and a waste of time. Like any other metropolitan metropolis, Riyadh, Saudi Arabia, has everyday traffic congestion during business hours. The current traffic management has made many attempts to ease traffic congestion in cities; despite these measures, the problem has not been solved adequately. To handle this road congestion, there is a need to appropriately store the bi

APA, Harvard, Vancouver, ISO, and other styles

37

Salvacion Goetsch, Mary Jo, and Jonathan Lobaton. "Characteristics, Roles and Challenges of Traffic Personnel: Implications toward Efficient Traffic Management System." International Journal of Scientific Research and Management (IJSRM) 11, no. 12 (2023): 428–46. http://dx.doi.org/10.18535/ijsrm/v11i12.lla02.

Full text

Abstract:

The purpose of this study was to determine the characteristics, roles and challenges of traffic personnel and their implications toward efficient traffic management system in Bacolod City during the second quarter of calendar year 2018. A mixed methods research design was used which involved the use of both quantitative and qualitative methods by means of survey responded by 150 traffic personnel, key informant interview participated by 3 Barangay Captains and a City Councilor, and focus group discussion participated by 6 traffic personnel which were all selected through a purposive and conven

APA, Harvard, Vancouver, ISO, and other styles

38

Saravanan G, Brettlee salomon, Cibi S, Dharun T, and Hari Krishnan P. "Smart Parking System with Computer Vision." International Research Journal on Advanced Engineering Hub (IRJAEH) 2, no. 12 (2024): 2816–20. https://doi.org/10.47392/irjaeh.2024.0389.

Full text

Abstract:

Growing urban populations have caused an increase in the demand for effective by-the-hour accommodating facilities. Most of the existing parking management systems are weak at managing the ever-changing needs of today’s urban centres. The development of an innovative smart parking system is discussed in this paper which employs computer vision technology to improve both parking efficiency and user accessibility. The described system combines real-time image processing with the techniques of the neural network to find and control the occupancy of parking spaces. The system collects information

APA, Harvard, Vancouver, ISO, and other styles

39

Ekhlakov, Roman, and Nikita Andriyanov. "Multicriteria Assessment Method for Network Structure Congestion Based on Traffic Data Using Advanced Computer Vision." Mathematics 12, no. 4 (2024): 555. http://dx.doi.org/10.3390/math12040555.

Full text

Abstract:

Overloading of network structures is a problem that we encounter every day in many areas of life. The most associative structure is the transport graph. In many megacities around the world, the so-called intelligent transport system (ITS) is successfully operating, allowing real-time monitoring and making changes to traffic management while choosing the most effective solutions. Thanks to the emergence of more powerful computing resources, it has become possible to build more complex and realistic mathematical models of traffic flows, which take into account the interactions of drivers with ro

APA, Harvard, Vancouver, ISO, and other styles

40

Wasti, Abhijan, Saugat Tripathi, Sandeep Regmi, Sanjeev Yadav, and Dinesh Baniya Kshatri. "Aerial View Based Guidance System." Journal of Innovations in Engineering Education 3, no. 1 (2020): 1–13. http://dx.doi.org/10.3126/jiee.v3i1.34153.

Full text

Abstract:

With the limited amount of resources and roads available, traffic congestion seems to be the current leading problem for urban areas. Reliance on the traditional vehicular navigation systems seems to a huge contributing factor, which simply cannot meet the present demand for better traffic management. While the existent navigation system relies on the Global Navigation Satellite System (GNSS) and predefined historic navigation data, a real time optimal pathfinding navigation system has been lacking. We have proposed a close to a real-time system that calculates an optimal path from start to de

APA, Harvard, Vancouver, ISO, and other styles

41

N. Ashok, Kumar, P. M. Bharathi, K. Neelima, Reddy Yatam Narayana, and Duddukuru Parthasarathi. "Traffic violation detection and penalty generation system using web server." i-manager’s Journal on Electronics Engineering 12, no. 3 (2022): 16. http://dx.doi.org/10.26634/jele.12.3.18903.

Full text

Abstract:

Using Radio Frequency Identification (RFID) technology, this work aims to create an intelligent traffic system. It is developed and operated in such a way that fines are tracked independently. RFID technology, passive tags, a processing unit (computer), and a communication system were all utilized with low-cost equipment. The first level is represented by data collection via RFID, which scans any identifiable tag connected to cars. After that, information is received by server on internet connection. Modern era is usually growing with an aim to make people's each day obligations easier. One of

APA, Harvard, Vancouver, ISO, and other styles

42

Naveed, Quadri Noorulhasan, Hamed Alqahtani, Riaz Ullah Khan, Sultan Almakdi, Mohammed Alshehri, and Mohammed Aref Abdul Rasheed. "An Intelligent Traffic Surveillance System Using Integrated Wireless Sensor Network and Improved Phase Timing Optimization." Sensors 22, no. 9 (2022): 3333. http://dx.doi.org/10.3390/s22093333.

Full text

Abstract:

The transportation industry is crucial to the realization of a smart city. However, the current growth in vehicle numbers is not being matched by an increase in road capacity. Congestion may boost the number of accidents, harm economic growth, and result in higher gas emissions. Currently, traffic congestion is seen as a severe threat to urban life. Suffering as a result of increased car traffic, insufficient infrastructure, and inefficient traffic management has exceeded the tolerance limit. Since route decisions are typically made in a short amount of time, the visualization of the data must

APA, Harvard, Vancouver, ISO, and other styles

43

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.

Full text

Abstract:

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

APA, Harvard, Vancouver, ISO, and other styles

44

Chuprov, Sergey, Ilya Viksnin, Iuliia Kim, et al. "Reputation and Trust Approach for Security and Safety Assurance in Intersection Management System." Energies 12, no. 23 (2019): 4527. http://dx.doi.org/10.3390/en12234527.

Full text

Abstract:

Crossroads are the main traffic jam generators in densely populated cities. Unmanned vehicles and intelligent transportation systems can significantly reduce congestion and improve road safety by eliminating the main cause of traffic accidents—the human factor. However, full confidence in their safety is necessary. This paper addresses the contextual data integrity problem, when an unmanned autonomous vehicle transmits incorrect data due to technical problems, or malicious attacks. We propose an approach based on trust and reputation that allows detecting vehicles transmitting bogus data. To v

APA, Harvard, Vancouver, ISO, and other styles

45

Kiran, N* Kumar H.R. "CLOUD MULTI-TIER APPLICATION MIGRATION MANAGEMENT SYSTEM." Global Journal of Engineering Science and Research Management 3, no. 5 (2016): 82–88. https://doi.org/10.5281/zenodo.51759.

Full text

Abstract:

Virtualization Technology (VT), re-invented to address most of the computer systems resource utilization challenges especially for Cloud Environment. An important feature of VT is live migration of the Virtual Machine (VM) that consists of Guest Operating Systems and applications running on it. Enabled by virtualization technologies, various multi-tier applications (such as web applications) are hosted by virtual machines (VMs) in cloud data centers. Live migration of multi-tier applications across geographically distributed data centers is important for load management, power saving, routine

APA, Harvard, Vancouver, ISO, and other styles

46

Atluri, Mahesh, Mashrur Chowdhury, Neeraj Kanhere, Ryan Fries, Wayne Sarasua, and Jennifer Ogle. "Development of a sensor system for traffic data collection." Journal of Advanced Transportation 43, no. 1 (2009): 1–20. http://dx.doi.org/10.1002/atr.5670430102.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Hussein, Salam Allawi, Alyaa Abduljawad Mahmood, and Emaan Oudah Oraby. "Network Intrusion Detection System Using Ensemble Learning Approaches." Webology 18, SI05 (2021): 962–74. http://dx.doi.org/10.14704/web/v18si05/web18274.

Full text

Abstract:

To mitigate modern network intruders in a rapidly growing and fast pattern changing network traffic data, single classifier is not sufficient. In this study Chi-Square feature selection technique is used to select the most important features of network traffic data, then AdaBoost, Random Forest (RF), and XGBoost ensemble classifiers were used to classify data based on binary-classes and multi-classes. The aim of this study is to improve detection rate accuracy for every individual attack types and all types of attacks, which will help us to identify attacks and particular category of attacks.

APA, Harvard, Vancouver, ISO, and other styles

48

Firmansyah, Anton, Andri Suyadi, Alif Akram Khalish, Al Farick Zulhanudin, and Syafrudin Syafrudin. "Prototipe lampu lalu lintas menggunakan PLC dan SCADA berbasis computer vision dengan raspberry pi 4B." JURNAL ELTEK 23, no. 1 (2025): 32–45. https://doi.org/10.33795/eltek.v23i1.6380.

Full text

Abstract:

Pertumbuhan populasi dan peningkatan jumlah kendaraan di wilayah perkotaan telah menimbulkan tantangan serius dalam manajemen lalu lintas, terutama di persimpangan yang sering mengalami kemacetan. Sistem lampu lalu lintas konvensional yang tidak mampu merespons kondisi lalu lintas secara real-time menyebabkan pengaturan durasi lampu yang tidak efisien, memperburuk kemacetan, meningkatkan emisi karbon, serta menyebabkan pemborosan bahan bakar. Seiring dengan perkembangan teknologi, machine learning digunakan untuk mengoptimalkan pengaturan lalu lintas secara adaptif. Dalam penelitian ini, dikem

APA, Harvard, Vancouver, ISO, and other styles

49

Bhargavi, Jangam, Bharatha Ashwin, Lavishetty Tagore, and MD Rehan. "Smart City Transportation Deep Learning Ensemble Approach for Traffic Accident Detection." International Scientific Journal of Engineering and Management 04, no. 02 (2025): 1–11. https://doi.org/10.55041/isjem02270.

Full text

Abstract:

This project proposes a real-time traffic accident detection system for smart cities using a deep learning approach. The system aims to detect accidents like rear-end collisions, T- bone crashes, and frontal impacts by processing video sequences from traffic surveillance cameras. This system will utilize Convolutional Neural Networks (CNN) to analyze RGB frames and optical flow information helping to identify accidents more accurately. By automating the detection process the system seeks to minimize manual intervention, improve response times and provide real-time location visual data to emerg

APA, Harvard, Vancouver, ISO, and other styles

50

Madrigal Arteaga, Victor Manuel, José Roberto Pérez Cruz, Antonio Hurtado-Beltrán, and Jan Trumpold. "Efficient Intersection Management Based on an Adaptive Fuzzy-Logic Traffic Signal." Applied Sciences 12, no. 12 (2022): 6024. http://dx.doi.org/10.3390/app12126024.

Full text

Abstract:

Traffic signals may generate bottlenecks due to an unfair timing balance. Facing this problem, adaptive traffic signal controllers have been proposed to compute the phase durations according to conditions monitored from on-road sensors. However, high hardware requirements, as well as complex setups, make the majority of these approaches infeasible for most cities. This paper proposes an adaptive traffic signal fuzzy-logic controller which uses the flow rate, retrieved from simple traffic counters, as a unique input requirement. The controller dynamically computes the cycle duration according t

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!