Highway Safety Analysis: Techniques and Methods for Analyzing Crash Data comprehensively covers in a single reference the key elements needed for making effective transportation engineering and policy decisions based on highway crash data analysis. It covers all aspects of the decision-making process, from collecting and assembling data to making decisions based on the results of the analyses. The book discusses the challenges with crash and naturalistic data, identifying problems and proposing best methods to solving them. It examines the nuances associated with crash data analysis, showing how 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, which can be challenging for students and working professionals to useExamples and case studies help for each model and methodLearning aids include online data, examples, and solution to problems INDICE: 1. Introduction Part 1: THEORY AND BACKBROUND 2. Fundamentals 3. Modelling process 4. Crash-count models 5. Crash-severity models 6. Cause: Effect models Part 2: HIGHWAY SAFETY ANALYSES 7. Exploratory analysis of crash data 8. Cross-sectional studies in safety 9. Before: After studies in highway safety 10. Identification of hazardous sites 11. Spatial analysis for crash data 12. Capacity, mobility, and safety Part 3: ALTERNATIVE SAFETY ANALYSES 13. Surrogate safety measures 14. Analysis of big and naturalistic data appendices
- ISBN: 978-0-12-816818-9
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 360
- Fecha Publicación: 01/11/2020
- Nº Volúmenes: 1
- Idioma: Inglés