ISBN: 9781032979793 - surrogate methods of road safety (17 resultados)

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New.

Condición: New.

Condición: New.

Condición: New. K.V.R. Ravi Shankar is working as Associate Professor in the Department of Civil Engineering, NIT Warangal, Telangana, India. Prof. Ravi Shankar received his Ph.D. from IIT Bombay in the year 2011. He is having 20 Years of Experience in the field .

Hardcover. Condición: Brand New. 160 pages. 9.18x6.12x9.45 inches. In Stock.

Buch. Condición: Neu. Neuware - This book provides a comprehensive understanding of accident data collection, analysis, and the use of surrogate safety measures (SSMs) from both vehicular and pedestrian perspectives. It discusses the application of simulation tools for surrogate safety analysis, with an emphasis on risk estimation and the integration of machine learning techniques. This book also explores the use of augmented and virtual reality for road user training and assessment, as well as safety concerns related to automated and connected vehicles. Field case studies offer a realistic view of on-site assessments, safety implications, and measures for safety enhancement. - Explores surrogate safety methods in detail, including the identification of surrogate measures and their applications. - Examines various SSMs, such as Post-Encroachment Time and Time-to-Collision, and identifies suitable SSMs for mixed traffic conditions, highlighting their strengths and weaknesses. - Discusses international codes and standards at appropriate points in each chapter. - Covers statistical methods, including Support Vector Machines, binary logit models, and ordered logit models, for estimating severity levels. - Includes worked examples and numerical problems for practical understanding. This book is intended for senior undergraduate and graduate students in road safety engineering, transportation, and civil engineering. …

Hardcover. Condición: new. Hardcover. This book provides a comprehensive understanding of accident data collection, analysis, and the use of surrogate safety measures (SSMs) from both vehicular and pedestrian perspectives. It discusses the application of simulation tools for surrogate safety analysis, with an emphasis on risk estimation and the integration of machine learning techniques. This book also explores the use of augmented and virtual reality for road user training and assessment, as well as safety concerns related to automated and connected vehicles. Field case studies offer a realistic view of on-site assessments, safety implications, and measures for safety enhancement.Explores surrogate safety methods in detail, including the identification of surrogate measures and their applications.Examines various SSMs, such as Post-Encroachment Time and Time-to-Collision, and identifies suitable SSMs for mixed traffic conditions, highlighting their strengths and weaknesses.Discusses international codes and standards at appropriate points in each chapter.Covers statistical methods, including Support Vector Machines, binary logit models, and ordered logit models, for estimating severity levels.Includes worked examples and numerical problems for practical understanding.This book is intended for senior undergraduate and graduate students in road safety engineering, transportation, and civil engineering. This book provides a thorough understanding of accident data collection, analysis, and use of surrogate safety measures from vehicular and pedestrian point of view. It discusses simulation tools usage for surrogate safety analysis with emphasis on risk estimation and use of machine learning techniques with case studies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condición: new. Hardcover. This book provides a comprehensive understanding of accident data collection, analysis, and the use of surrogate safety measures (SSMs) from both vehicular and pedestrian perspectives. It discusses the application of simulation tools for surrogate safety analysis, with an emphasis on risk estimation and the integration of machine learning techniques. This book also explores the use of augmented and virtual reality for road user training and assessment, as well as safety concerns related to automated and connected vehicles. Field case studies offer a realistic view of on-site assessments, safety implications, and measures for safety enhancement.Explores surrogate safety methods in detail, including the identification of surrogate measures and their applications.Examines various SSMs, such as Post-Encroachment Time and Time-to-Collision, and identifies suitable SSMs for mixed traffic conditions, highlighting their strengths and weaknesses.Discusses international codes and standards at appropriate points in each chapter.Covers statistical methods, including Support Vector Machines, binary logit models, and ordered logit models, for estimating severity levels.Includes worked examples and numerical problems for practical understanding.This book is intended for senior undergraduate and graduate students in road safety engineering, transportation, and civil engineering. This book provides a thorough understanding of accident data collection, analysis, and use of surrogate safety measures from vehicular and pedestrian point of view. It discusses simulation tools usage for surrogate safety analysis with emphasis on risk estimation and use of machine learning techniques with case studies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

HRD. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condición: new. Hardcover. This book provides a comprehensive understanding of accident data collection, analysis, and the use of surrogate safety measures (SSMs) from both vehicular and pedestrian perspectives. It discusses the application of simulation tools for surrogate safety analysis, with an emphasis on risk estimation and the integration of machine learning techniques. This book also explores the use of augmented and virtual reality for road user training and assessment, as well as safety concerns related to automated and connected vehicles. Field case studies offer a realistic view of on-site assessments, safety implications, and measures for safety enhancement.Explores surrogate safety methods in detail, including the identification of surrogate measures and their applications.Examines various SSMs, such as Post-Encroachment Time and Time-to-Collision, and identifies suitable SSMs for mixed traffic conditions, highlighting their strengths and weaknesses.Discusses international codes and standards at appropriate points in each chapter.Covers statistical methods, including Support Vector Machines, binary logit models, and ordered logit models, for estimating severity levels.Includes worked examples and numerical problems for practical understanding.This book is intended for senior undergraduate and graduate students in road safety engineering, transportation, and civil engineering. This book provides a thorough understanding of accident data collection, analysis, and use of surrogate safety measures from vehicular and pedestrian point of view. It discusses simulation tools usage for surrogate safety analysis with emphasis on risk estimation and use of machine learning techniques with case studies. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…