4.6 Article

Big data analysis and cloud computing for smart transportation system integration

Related references

Note: Only part of the references are listed.
Article Multidisciplinary Sciences

Machine Learning-Based Holistic Privacy Decentralized Framework for Big Data Security and Privacy in Smart City

Yi Jie Zhang et al.

Summary: This paper proposes a machine learning-based decentralized framework for privacy enhancement in smart city projects. By integrating double authentication private-preserving analysis, it ensures the accessibility of transaction data and fairness between information providers and customers.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2023)

Article Engineering, Civil

Displacement-Aware Service Endowment Scheme for Improving Intelligent Transportation Systems Data Exchange

Gunasekaran Manogaran et al.

Summary: Intelligent Transportation Systems (ITS) is a smart-transportation system that integrates cloud and wireless networks to provide roadside assistance and data exchange support. It facilitates data exchanges between vehicles and addresses issues caused by mobility and link instability, ultimately improving big data quality.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

Article Computer Science, Information Systems

Task Failure Prediction in Cloud Data Centers Using Deep Learning

Jiechao Gao et al.

Summary: Large-scale cloud data centers often face high failure rates due to hardware and software failures, which can greatly reduce service reliability and require significant resources for recovery. Predicting task and job failures with high accuracy is crucial to avoid wastage. This article proposes a failure prediction algorithm based on multi-layer Bi-LSTM, which outperforms other methods with 93% accuracy for task failure and 87% accuracy for job failures.

IEEE TRANSACTIONS ON SERVICES COMPUTING (2022)

Article Computer Science, Information Systems

MDRP: Message dissemination with re-route planning method for emergency vehicle information exchange

R. P. Meenaakshi Sundhari et al.

Summary: This paper introduces a message dissemination with re-route planning (MDRP) method to address the problem of data and traffic congestion in road-side communication networks, which improves message delivery by selecting neighbors and routing path weight.

PEER-TO-PEER NETWORKING AND APPLICATIONS (2021)

Article Telecommunications

Machine learning for mobile network payment security evaluation system

Fei Wang et al.

Summary: This paper proposes a Machine Learning-Assisted Secure Mobile Electronic Payment Framework for detecting malware, authentication issues, and fraud detection. The framework combines the Efficient Random Oracle Model and Mutual Mobile Authentication model, and simulation analysis proves its reliability in terms of accuracy, security, performance, and cost factors.

TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES (2021)

Review Computer Science, Information Systems

Artificial Intelligence-Based Decision-Making Algorithms, Internet of Things Sensing Networks, and Deep Learning-Assisted Smart Process Management in Cyber-Physical Production Systems

Mihai Andronie et al.

Summary: The interoperability between Internet of Things-based real-time production logistics and cyber-physical process monitoring systems is crucial for advancing operations in CPPSs. Through a literature review, a limited number of papers meeting the eligibility criteria, highlighting the importance of developing real-time sensor networks and utilizing AI-driven big data analytics.

ELECTRONICS (2021)

Article Green & Sustainable Science & Technology

A secure demand response management authentication scheme for smart grid

Azeem Irshad et al.

Summary: The secure authentication key agreement protocol is crucial for smart grid systems to protect communication security and manage power demand effectively. Existing protocols have security vulnerabilities, leading to the proposal of a new anonymous lightweight authenticated key agreement protocol. Through practical testing, the new scheme supports privacy protection and effectively counters security attacks.

SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS (2021)

Review Green & Sustainable Science & Technology

The Role of 5G Technologies in a Smart City: The Case for Intelligent Transportation System

Ali Gohar et al.

Summary: Smart cities collect data using various electronic methods and sensors, relying on ICT to improve service quality. The introduction of 5G technology will have a profound impact on applications such as ITS in smart cities.

SUSTAINABILITY (2021)

Article Engineering, Electrical & Electronic

Multi-Variate Data Fusion Technique for Reducing Sensor Errors in Intelligent Transportation Systems

Gunasekaran Manogaran et al.

Summary: The article introduces the multi-variate data fusion (MVDF) technique for connected vehicles in intelligent transportation system (ITS) scenario, which utilizes least square regression learning to determine errors and differentiate between indefinite and definite data fusion instances within application run-time intervals, in order to improve data utilization ratio and reduce errors.

IEEE SENSORS JOURNAL (2021)

Article Engineering, Civil

Ant-Inspired Recurrent Deep Learning Model for Improving the Service Flow of Intelligent Transportation Systems

Gunasekaran Manogaran et al.

Summary: The article introduces a method called the ant-inspired recurrent learning model (ARLM) aimed at maximizing the navigation service response rate of vehicles through forward and backward ant agents and recurrent learning, and reducing sensing and response time through conditional verification.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

Article Green & Sustainable Science & Technology

A Cyber-Physical System and Graph-Based Approach for Transportation Management in Smart Cities

Muhammad Mazhar Rathore et al.

Summary: Technological advancements in the cyber-physical system have paved the way for real-time and context-aware services to improve human lives, particularly in the transportation sector. Smart and on-ground real-time traffic analysis plays a crucial role in enhancing decision-making for safe and convenient travel. The proposed transport-control model utilizes cyber-physical systems and sensor technology to continuously monitor and mine big city data for smart decision-making, ultimately leading to an efficient, robust, and scalable transportation system.

SUSTAINABILITY (2021)

Proceedings Paper Computer Science, Information Systems

Analysis of Ensemble Learning Models for Identifying Spam over Social Networks using Recursive Feature Elimination

Puneet Garg et al.

Summary: Social networking platforms are considered reliable and valuable for information exchange and communication by millions of users worldwide, but they also have the potential to spread misinformation and undesirable content. A model for identifying spammers in the Twitter network is proposed in this study, using features based on user behavior and content, along with various classifiers and performance evaluation metrics.

2021 11TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (CONFLUENCE 2021) (2021)

Article Engineering, Electrical & Electronic

An attention-based deep learning model for traffic flow prediction using spatiotemporal features towards sustainable smart city

Balachandran Vijayalakshmi et al.

Summary: In the development of smart cities, the intelligent transportation system (ITS) plays a major role and faces challenges in accurately predicting traffic flow due to the dynamic nature of traffic information. The rapid increase in traffic data volume has led to the era of big data. This study proposes a deep architecture model based on CNN-LSTM with attention mechanism to improve accuracy in traffic data analysis, showing promising results in predicting traffic flow during peak and non-peak hours on weekdays and weekends.

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS (2021)

Article Engineering, Electrical & Electronic

New method of traffic flow forecasting based on quantum particle swarm optimization strategy for intelligent transportation system

Degan Zhang et al.

Summary: Traffic flow forecasting is essential for smart transportation systems, and a new method based on quantum particle swarm optimization is proposed in this paper. The algorithm effectively reduces prediction errors and provides stable results compared to other related algorithms.

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS (2021)

Article Engineering, Electrical & Electronic

An Efficient Optimal Neural Network-Based Moving Vehicle Detection in Traffic Video Surveillance System

Ahilan Appathurai et al.

CIRCUITS SYSTEMS AND SIGNAL PROCESSING (2020)

Article Computer Science, Theory & Methods

A hybrid model of Internet of Things and cloud computing to manage big data in health services applications

Mohamed Elhoseny et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)

Article Telecommunications

Distributed Location and Trust Based Replica Detection in Wireless Sensor Networks

G. Amudha et al.

WIRELESS PERSONAL COMMUNICATIONS (2018)

Article Computer Science, Hardware & Architecture

Ant colony optimization algorithm with Internet of Vehicles for intelligent traffic control system

Priyan Malarvizhi Kumar et al.

COMPUTER NETWORKS (2018)