Road Traffic Modeling and Management

This PDF book is become immediate popular in Transportation genre. Road Traffic Modeling and Management is written by famous author Fouzi Harrou and Ready to Download in ePUB, PDF or Kindle formats. Released by Elsevier in 2021-10-05. Click Download Book button to get book file and read directly from your devices. Here is a quick description and cover image of Road Traffic Modeling and Management book.

Road Traffic Modeling and Management
Author : Fouzi Harrou
Publisher : Elsevier
Release Date : 05 October 2021
ISBN : 9780128234334
Pages : 268
File Size : 49,5 Mb
Total View : 7964 Views
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Road Traffic Modeling and Management by Fouzi Harrou Book PDF Summary

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems. Provides integrated, up-to-date and complete coverage of the key components for intelligent transportation systems: traffic modeling, forecasting, estimation and monitoring Uses methods based on video and time series data for traffic modeling and forecasting Includes case studies, key processes guidance and comparisons of different methodologies

Road Traffic Modeling and Management
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  • File Size : 55,9 Mb

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and

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