Learning About Transportation

Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This textbookis designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in machine learning. Readers will learn how to develop and apply various types of machine learning models to transportation-related problems. Example applications include traffic sensing, data-quality control, traffic prediction, transportation asset management, traffic-system control and operations, and traffic-safety analysis. Introduces fundamental machine learning theories and methodologies Presents state-of-the-art machine learning methodologies and their incorporation into transportationdomain knowledge Includes case studies or examples in each chapter that illustrate the application of methodologies andtechniques for solving transportation problems Provides practice questions following each chapter to enhance understanding and learning Includes class projects to practice coding and the use of the methods

The key aim of this volume is to demonstrate ways in which an understanding of history can be used to inform present-day transport and mobility policies. This is not to say that history repeats itself, or that every contemporary transport dilemma has an historical counterpart: rather, the contributors to this book argue that in many contexts of transport planning a better understanding of the context and consequences of past decisions and processes could lead to more effective policy decisions. Collectively the authors explore the ways in which the methods and approaches of historical research may be applied to contemporary transport and policy issues across a wide range of transport modes and contexts. By linking two bodies of academic research that for the most part remain separate this volume helps to inform current transport and mobility policies and to stimulate innovative new research that links studies of both past and present mobilities.

In My First Things That Go, kids learn about different types of transportation, including planes, trains, and cars. This informational vehicle book features a variety of transportation vehicles. Each spread has exciting facts, labels, and high-quality pictures. The images are labeled clearly and promote early learning and language skills. The books can be read either alone or with an adult, and they encourage learning on your own. My First Things That Go is the perfect transportation book for kids! This revamp of DK's most successful board books series includes updated photography, contemporary design, and an insightful approach to engaging preschoolers. With charming, bold design, clear labels, and a wide variety of topics, these first learning books encourage children to build the vocabulary and language skills that form the foundation of early education. DK's iconic My First series not only provides a collection of educational information books that children can refer back to again and again, but also offers a first taste of independent learning.

See some of the world's fastest transportation breakdowns at lightning speed. Find out how each form of transportation failed, the basic engineering missed during construction, and what engineers learned from their mistakes.