Highway Safety Analytics and Modeling comprehensively covers the key elements needed to make effective transportation engineering and policy decisions based on highway safety data analysis in a single. reference. The book includes all aspects of the decision-making process, from collecting and assembling data to developing models and evaluating analysis results. It discusses the challenges of working with crash and naturalistic data, identifies problems and proposes well-researched methods to solve them. Finally, the book examines the nuances associated with safety data analysis and shows how to best use the information to develop countermeasures, policies, and programs to reduce the frequency and severity of traffic crashes. Complements the Highway Safety Manual by the American Association of State Highway and Transportation Officials Provides examples and case studies for most models and methods Includes learning aids such as online data, examples and solutions to problems
NCHRP 20-07 (384) Report: Core Competencies for Key Safety Analysis. ... Observational Before-after Studies in Road Safety: Estimating the Effect of Highway and Traffic Engineering Measures on ... Highway Safety Analytics and Modeling.
This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.
Highway Safety Analytics and Modeling, edited by Dominique Lord et al., Elsevier, 2021, pp. 399–428. ScienceDirect, doi:https://doi.org/10.1016/B978-0-12-816818-9.00016-0. 41. Ma, Ying, et al. “Meta-Analysis of Cellular Toxicity for ...
The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce.
Traffic Safety, Volume 4 of the Research for Innovative Transports Set, presents a collection of updated papers from the TRA 2014 Conference, highlighting the diversity of research in this field.
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TRB's National Cooperative Highway Research Program (NCHRP) Synthesis 295: Statistical Methods in Highway Safety Analysis focus on the type of safety analysis required to support traditional engineering functions, such as...
Gibbons, J., Gastwirth, J. (1970). Properties of the percentile modified rank tests. Annals of the Institute of Statistical Mathematics, Suppl. 6, 95–114. Gilbert, C. (1992). A duration model of automobile ownership.
Emphasizing practical applications and up-to-date methods, this book prepares students for real-world practice while building the essential knowledge base required of a transportation professional.