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Big Data Analytics in Traffic and Transportation Engineering

, especially those focusing on the road users, should be targeted at these high risk neighborhoods. Big Data Analytics in Traffic and;

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Recent Advances in Traffic Engineering

covers a wide range of topics, including advanced traffic data collection methods, big data analysis, mix-traffic characterization and modelling;

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Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless;

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Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless;

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Data Analytics for Intelligent Transportation Systems

transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing;

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Data Analytics

data technologies in transportation and analytics, transport infrastructure and traffic management, transportation modeling, vehicle emissions;

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Handbook of Big Data Analytics: Applications in ICT, security and business analytics

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Handbook of Big Data Analytics: Methodologies

Big Data analytics is the complex process of examining big data to uncover information such as correlations, hidden patterns, trends and;

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Big Data Transportation Systems

, and application case studies. Finally, the book discusses applications of big data transportation platforms.;

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Big Data Analytics for Connected Vehicles and Smart Cities

The federal and private sector have a strong interest in the application of big data analytics to connected vehicles and smart cities. It;

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ITS Sensors and Architectures for Traffic Management and Connected Vehicles

freeway metering and dispatching of emergency response providers. As traffic flow sensors are integrated with big data sources such as connected;

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ITS Sensors and Architectures for Traffic Management and Connected Vehicles

freeway metering and dispatching of emergency response providers. As traffic flow sensors are integrated with big data sources such as connected;

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Computational Methods and Data Engineering

transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language;

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Computational Methods and Data Engineering

transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language;

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Mobility Patterns, Big Data and Transport Analytics

processes and phenomena. This book bridges the gap between big data, data science, and transportation systems analysis with a study of big;

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Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications

are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0;

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Data-Driven Solutions to Transportation Problems

-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data;

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Big Data and Differential Privacy

practical introduction to state-of-the-art data analysis for railway track engineering, Big Data and Differential Privacy: Analysis Strategies for;

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Proceedings of International Conference on Computational Intelligence and Data E

, ant colony optimization, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language;

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Big Data Analytics Methods

and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen;

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Machine Learning and Big Data Analytics (Proceedings of International Conference on Machine Learning and Big Data Analytics (ICMLBDA) 2021)

This edited volume on machine learning and big data analytics (Proceedings of ICMLBDA 2021) is intended to be used as a reference book for;

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Handbook Of Transportation Engineering

any online entitlements included with the product. The definitive transportation engineering resource--fully revised and updatedThe;

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Highway Safety Analytics and Modeling

severity of traffic crashes. Complements the Highway Safety Manual by the American Association of State Highway and Transportation;

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications

This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data;

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Win With Advanced Business Analytics

Plain English guidance for strategic business analytics and big data implementation In today's challenging economy, business analytics and;

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Advances in Big Data

), clouds, clusters); and big data analytics applications to solve real-world problems (e.g. weather prediction, transportation, energy management;

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Transportation Engineering: A Practical Approach to Highway Design, Traffic Analysis, and Systems Operation

Traffic, highway, and transportation design principles and practical applications This comprehensive textbook clearly explains the many;

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