Transportation Statistics And Microsimulation

By discussing statistical concepts in the context of transportation planning and operations, Transportation Statistics and Microsimulation provides the necessary background for making informed transportation-related decisions. It explains the why behind standard methods and uses real-world transportation examples and problems to illustrate key conc

In recent years, transportation systems have been judged on performance-based outcomes, thus, quantitative methods have become increasingly important to such assessments. This definitive reference will equip you with state-of-the-art statistical tools used in transportation modeling, how to interpret results and analyze the implications of those results.

Given its effective techniques and theories from various sources and fields, data science is playing a vital role in transportation research and the consequences of the inevitable switch to electronic vehicles. This fundamental insight provides a step towards the solution of this important challenge. Data Science and Simulation in Transportation Research highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society. Bringing together novel ideas grounded in big data from various data mining and transportation science sources, this book is an essential tool for professionals, students, and researchers in the fields of transportation research and data mining.

This book presents selected articles from the 5th International Conference on Geotechnics, Civil Engineering Works and Structures, held in Ha Noi, focusing on the theme “Innovation for Sustainable Infrastructure”, aiming to not only raise awareness of the vital importance of sustainability in infrastructure development but to also highlight the essential roles of innovation and technology in planning and building sustainable infrastructure. It provides an international platform for researchers, practitioners, policymakers and entrepreneurs to present their recent advances and to exchange knowledge and experience on various topics related to the theme of “Innovation for Sustainable Infrastructure”.

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place in Riga, Latvia on October 17 – 20, 2018. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.

How can the Bureau of Transportation Statistics (BTS), the nation's newest federal statistical agency, contribute to the work of the U.S. Department of Transportation (USDOT)? What is the appropriate role for such an agency as a part of a major department? BTS was authorized in 1991 by the Intermodal Surface Transportation Efficiency Act (ISTEA) in recognition of the need for more and better data for transportation officials at local, state, and federal levels. While the USDOT has many long-standing data collection programs for particular transportation modes (highways, rail, air, etc.), it has never had a statistical agency with a mandate to improve the quality and relevance of transportation data for important system-wide, cross-modal analyses of the nation's transportation system. This book examines how BTS can provide statistical leadership for USDOT, define and maintain quality standards for transportation data, and improve data documentation. It considers BTS's role in developing national transportation indicators, coordinating data collection throughout USDOT, filling gaps, identifying user needs, and developing analysis programs for transportation data. Anyone concerned with having high-quality, relevant transportation indicators and other data available for policy planning, evaluation, and research will be interested in this book, as will students of effective government.