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Highway Safety Analytics and Modeling

Highway Safety Analytics and Modeling
Author: Dominique Lord
Publisher: Elsevier
Total Pages: 502
Release: 2021-03-11
Genre: Law
ISBN: 0128168188
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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

Statistical Methods in Highway Safety Analysis

Statistical Methods in Highway Safety Analysis
Author: Bhagwant Naraine Persaud
Publisher:
Total Pages: 88
Release: 2001
Genre: Transportation
ISBN:
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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 the identification of hazardous locations and the development and evaluation of countermeasures. Analyses related specifically to driver and vehicle safety are not covered, but some statistical methods used in these areas are of relevance and are summarized where appropriate.

Highway Safety Analytics and Modeling

Highway Safety Analytics and Modeling
Author: Dominique Lord
Publisher: Elsevier
Total Pages: 504
Release: 2021-02-27
Genre: Law
ISBN: 0128168196
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Download Highway Safety Analytics and Modeling Book in PDF, ePub and Kindle

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

Highway Safety

Highway Safety
Author:
Publisher:
Total Pages: 116
Release: 2001
Genre: Traffic accidents
ISBN:
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Highway Safety Literature

Highway Safety Literature
Author:
Publisher:
Total Pages: 160
Release: 1967
Genre: Traffic safety
ISBN:
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Highway Safety: Improved Monitoring and Oversight of Traffic Safety Data Program are Needed: Report to Congressional Committees

Highway Safety: Improved Monitoring and Oversight of Traffic Safety Data Program are Needed: Report to Congressional Committees
Author:
Publisher:
Total Pages: 58
Release: 2004
Genre: Federal aid to transportation
ISBN:
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This report examines the quality of state crash information; the activities states undertook using 411 grant funds to improve their traffic safety data systems, and the progress they made using the grant funds; and NHTSA's oversight of the grant program

Highway Safety

Highway Safety
Author:
Publisher:
Total Pages: 101
Release: 2001
Genre:
ISBN:
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Transportation Research Record contains the following papers: Incorporating crash risk in selecting congestion-mitigation strategies : Hampton Roads area (Virginia) case study (Garber, NJ and Subramanyan, S); Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections (Abdelwahab, HT and Abdel-Aty, MA); Transferability of models that estimate crashes as a function of access management (Miller, JS, Hoel, LA, Kim, S and Drummond, KP); Sensor-friendly vehicle and roadway cooperative safety systems : benefits estimation (Misener, JA, Thorpe, C, Ferlis, R, Hearne, R, Siegal, M and Perkowski, J); Interstate highway crash injuries during winter snow and nonsnow events (Khattak, AJ and Knapp, KK); Simulation of road crashes by use of systems dynamics (Mehmood, A, Saccamanno, F and Hellinga, B); Longitudinal analysis of fatal run-off-road crashes, 1975 to 1997 (McGinnis, RG, Davis, MJ and Hathaway, EA); Injury severity in multivehicle rear-end crashes (Khattack, AJ); Computing and interpreting accident rates for vehicle types driver groups (Hauer, E); Geographics information system-based accident data management for Mexican federal roads (Mendoza, A, Mayoral, EF, Vicente, JL and Quintero, FL); Bayesian identification of high-risk intersections for older drivers via gibbs sampling (Davis, GA and Yang, S); Automated accident detection system (Harlow, C and Wang, Y); Evaluation of inexpensive global positioning system units to improve crash location data (Graettinger, AJ, Rushing, TW and McFadden, J).