Video Based Machine Learning for Traffic Intersections

Video Based Machine Learning for Traffic Intersections
Author :
Publisher : CRC Press
Total Pages : 213
Release :
ISBN-10 : 9781000969771
ISBN-13 : 1000969770
Rating : 4/5 (770 Downloads)

Book Synopsis Video Based Machine Learning for Traffic Intersections by : Tania Banerjee

Download or read book Video Based Machine Learning for Traffic Intersections written by Tania Banerjee and published by CRC Press. This book was released on 2023-10-17 with total page 213 pages. Available in PDF, EPUB and Kindle. Book excerpt: Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Transportation Systems (ITS) and the challenges encountered during their deployment. This book presents several novel approaches, including a two-stream convolutional network architecture for vehicle detection, tracking, and near-miss detection; an unsupervised approach to detect near-misses in fisheye intersection videos using a deep learning model combined with a camera calibration and spline-based mapping method; and algorithms that utilize video analysis and signal timing data to accurately detect and categorize events based on the phase and type of conflict in pedestrian-vehicle and vehicle-vehicle interactions. The book makes use of a real-time trajectory prediction approach, combined with aligned Google Maps information, to estimate vehicle travel time across multiple intersections. Novel visualization software, designed by the authors to serve traffic practitioners, is used to analyze the efficiency and safety of intersections. The software offers two modes: a streaming mode and a historical mode, both of which are useful to traffic engineers who need to quickly analyze trajectories to better understand traffic behavior at an intersection. Overall, this book presents a comprehensive overview of the application of computer vision and machine learning to solve transportation-related problems. Video Based Machine Learning for Traffic Intersections demonstrates how these techniques can be used to improve safety, efficiency, and traffic flow, as well as identify potential conflicts and issues before they occur. The range of novel approaches and techniques presented offers a glimpse of the exciting possibilities that lie ahead for ITS research and development. Key Features: Describes the development and challenges associated with Intelligent Transportation Systems (ITS) Provides novel visualization software designed to serve traffic practitioners in analyzing the efficiency and safety of an intersection Has the potential to proactively identify potential conflict situations and develop an early warning system for real-time vehicle-vehicle and pedestrian-vehicle conflicts


Video Based Machine Learning for Traffic Intersections Related Books

Video Based Machine Learning for Traffic Intersections
Language: en
Pages: 213
Authors: Tania Banerjee
Categories: Computers
Type: BOOK - Published: 2023-10-17 - Publisher: CRC Press

GET EBOOK

Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Tran
Video Based Machine Learning for Traffic Intersections
Language: en
Pages: 194
Authors: Tania Banerjee
Categories: Computers
Type: BOOK - Published: 2023-10-17 - Publisher: CRC Press

GET EBOOK

Video Based Machine Learning for Traffic Intersections describes the development of computer vision and machine learning-based applications for Intelligent Tran
Advances in Machine Learning and Computational Intelligence
Language: en
Pages: 853
Authors: Srikanta Patnaik
Categories: Technology & Engineering
Type: BOOK - Published: 2020-07-25 - Publisher: Springer Nature

GET EBOOK

This book gathers selected high-quality papers presented at the International Conference on Machine Learning and Computational Intelligence (ICMLCI-2019), joint
Introduction to Deep Learning
Language: en
Pages: 196
Authors: Sandro Skansi
Categories: Computers
Type: BOOK - Published: 2018-02-04 - Publisher: Springer

GET EBOOK

This textbook presents a concise, accessible and engaging first introduction to deep learning, offering a wide range of connectionist models which represent the
Transportation Systems Engineering
Language: en
Pages: 723
Authors: Ennio Cascetta
Categories: Technology & Engineering
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

GET EBOOK

"This book provides a rigorous and comprehensive coverage of transportation models and planning methods and is a must-have to anyone in the transportation commu