Pedestrian Safety Analysis And Countermeasures

                            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.