Pedestrian Safety Analysis And Countermeasures

Beschreibung

This book is about investigating pedestrian safety by analyzing crash risks in specific, less-studied locations: non-intersection areas, high-speed roadways, and interstate highways. It addresses the significant rise in pedestrian fatalities in the U.S., focusing on areas with unique safety challenges, such as high vehicle speeds and lack of pedestrian infrastructure. The book applies advanced data mining techniques, like Association Rules Mining (ARM) and hybrid machine learning models, to identify crash patterns and risk factors. A unique framework, based on the distance from intersections, is used to study crash patterns in non-intersection zones.
Readers should consider buying this book because: Focus on critical safety issues: It addresses the growing concern of pedestrian fatalities, providing a detailed analysis of risk factors and crash patterns in high-risk locations like non-intersection areas, high-speed roadways, and interstate highways. Advanced data analysis techniques: The book utilizes cutting-edge data mining algorithms (e.g., ARM, XGBoost) and hybrid models, offering innovative approaches to understanding pedestrian crash risks and improving safety

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Winkel Tobias

Themen in »Pedestrian Safety Analysis And Countermeasures«

Pedestrian Safety Vulnerable Road Users (VRUs) Traffic Safety Crash Risk Analysis Non-Intersection Crashes

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