This edited book examines conditionals from a number of interdisciplinary perspectives, drawing on research from fields as diverse as linguistics, psychology, philosophy and logic. Across 13 chapters, the authors not only investigate and examine various commonly-held perceptions about conditionals, but they also challenge many of the assumptions underpinning current conditionals scholarship, setting an agenda for future research. Based in part on the papers presented at a unique international summer school - Conditionals in Paris - this volume represents the cutting edge in the study of conditionals, and it will be of interest to scholars in fields including linguistics and psychology, semiotics, philosophy and logic, and artificial intelligence.

Data-Driven Traffic Engineering: Understanding of Traffic and Applications Based on Three-Phase Traffic Theory shifts the current focus from using modeling and simulation data for traffic measurements to the use of actual data. The book uses real-world, empirically-derived data from a large fleet of connected vehicles, local observations and aerial observation to shed light on key traffic phenomena. Readers will learn how to develop an understanding of the empirical features of vehicular traffic networks and how to consider these features in emerging, intelligent transport systems. Topics cover congestion patterns, fuel consumption, the influence of weather, and much more. This book offers a unique, data-driven analysis of vehicular traffic in traffic networks, also considering how to apply data-driven insights to the intelligent transport systems of the future.