Big Data Analytics Architecture For Real-Time Traffic Control

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In-country like India, billions of people start and end each working day stuck in traffic or commuting on congested trains and buses. It is vital to the quality of life to enhance the Amini S, Gerostathopoulos I, Prehofer C (2017) Big data analytics architecture for real-time traffic control. In: IEEE International conference on models and technologies for A. Amini, I. Gerostathopoulos, C. Prehofer, Big Data Analytics Architecture for Real-Time Traffic Control, 5th International Conference on Models and Technologies for Intelligent

Big Data is an emerging paradigm and has currently become a strong attractor of global interest, specially within the transportation industry. The combination of disruptive Abstract: traffic is a significant Intelligent Traffic Management Systems (ITMS) play a vital role in enhancing the efficiency, safety, and sustainability of urban transportation networks. This paper presents a

The proposed model incorporated data from road sensors as well as a variety of other sources. It is difficult to capture and process large amounts of sensor data in real time. Sensor data is The intelligent transportation system in big data environment is the development trend of future transportation system, which effectively Real-time updates from the sensors are transmitted to a big data storage infrastructure, where analytics processes are applied.

Real-Time Machine Learning-Based Framework for the Analysis

The objective of this paper is twofold. Firstly, this paper reviews academic literature about big data analytics for intelligent transportation systems; and secondly builds upon

Urban mobility has undergone and continues to undergo a profound transformation driven by the convergence of artificial intelligence (AI), the Internet of Things AbstractBig data and data-driven analysis could be utilized for traffic management to improve road Big data safety and the performance of transportation systems. This paper introduces a PDF | Optimizing urban traffic is a significant problem for cities all over the world. This research aimsto tackle this issue by utilizing real-time | Find, read and cite all the

Big Data Analytics Architecture for Real-Time Traffic Control 5th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS 2017) Learn how to implement real-time data analytics architectures to process data as it is generated and deliver insights or alerts to end users.

‪Ilias Gerostathopoulos‬
Real Time Analytics Architecture and Design
A Big Data Architecture for Near Real-time Traffic Analytics
Real-Time Adaptive Traffic Control System For Smart Cities

This paper proposes a Microservice-Oriented Big Data Architecture (MOBDA) incorporating data processing techniques, such as predictive modelling for achieving smart transportation and Urban mobility is increasingly challenged by traffic congestion, leading to inefficiencies, environmental harm, and economic losses. This research presents an intelligent traffic control Sasan et al. [5] came up with a real-time traffic control architecture stand on big data analytics. Although the study could not access the real traffic data, the architecture is

In this paper, we present necessary premises for the deployment of the Internet of Vehicles (IoV) integrating Big Data analytics of road network traffic measurements of the city of Learn key architecture patterns for real-time, high-volume data to increase operational efficiency and strengthen business decision-making.

Amini S., Gerostathopoulos I., and Prehofer C.: ‘Big Data analytics architecture for real-time traffic control’. IEEE Int. Conf. on Models and Technologies for Intelligent

A Big Data Architecture for Near Real-time Traffic Analytics

Amini S, Gerostathopoulos I, Prehofer C (2017) Big data analytics architecture for real-time traffic control. In: 2017 5th IEEE international conference on models and technologies In big data since 2013, ScienceSoft helps companies across 30+ industries build scalable, high-performing big data solutions that deliver prompt insights and automate business operations ‪Technische Universität München‬ – ‪‪Cited by 417‬‬ – ‪Traffic flow theory‬ – ‪Network modelling‬ – ‪Traffic control‬

For a smart sustainable city, big data visualization implies turning a large amount of urban data into useful knowledge for enhanced decision-making and deep insights For a smart sustainable city, big data visualization implies turning a large amount of urban data into useful knowledge for enhanced decision-making and deep insights Chapter three introduces the big data methods such as Cassandra, Hadoop, Apache Kafka, Zookeeper, and Apache Spark which are used to implement the system and demonstrates the

Efficient implementation of these features in real-world applications using big data analytics is a challenging job during data storage, processing, and analysis phases. Capabilities The primary capabilities provided by a real-time data streaming and analytics system are introduced below. Capabilities used in real-time data streaming and analytics workflows, Referencing from [7], modern deep learning models are built on distributed and parallel computing platform for big data. A comprehensive and flexible architecture based on

Since the value of information is inversely proportional to time, real-time data processing and analytics are receiving more attention.

Amini S, Gerostathopoulos I, Prehofer C (2017) Big data analytics architecture for real-time traffic control. In: 2017 5th IEEE international conference on models and technologies Big data analytics architecture for real-time traffic control. 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). Abstract— Big data is a popular research topic that has brought about a range of new IT challenges and opportunities. The transport domain is one area that has much to benefit from

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