01659004

Monograph

This issue contains twenty-four papers concerning statistical methods and safety data and analysis. Specific topics covered are as follows: methodology to backcalculate individual speed data originally aggregated by road detectors; traffic conflict-based before-after study; evaluating bicycle safety in Vancouver, Canada; and evaluating the impact of socioeconomics, land use, built environment, and road facility on cyclist safety. Additional topics include impact of congestion and traffic flow on crash frequency and severity; representations of road user volume and their impact on postencroachment time; incorporating a safety index into pathfinding; and assessing safety of signalized intersections. This issue also covers intersection safety management with connected vehicles; using naturalistic driving data to develop a typology of speeding episodes; factors affecting classification of road segments into high- and low-speed collision regimes; and analysis of bicycle accidents to improve cyclist safety in Vienna, Austria. Further topics include evaluating influence of neighboring structures on spatial crash frequency modeling and site-ranking performance; comparative assessment of safety indicators for vehicle trajectories on highways; analysis and validation of surrogate safety measures; and exploring vehicle-pedestrian crash severity factors on the basis of in-car black box recording data. Further topics covered in this issue include evaluating aging pedestrian crash severity for improved prediction accuracy; examining injury severity of not-at-fault drivers in two-vehicle crashes; effects of demographics and neighborhood environment on pedestrian injury severity; and investigation of the effectiveness of high-visibility crosswalks on pedestrian safety using crash surrogates. Additional topics include predicting day and night traffic volumes on rural roads for statistical road safety modeling; accounting for driver distraction and socioeconomic characteristics in a crash risk index; development and application of pedestrian safety performance functions to prioritize locations in Seattle, Washington; and investigation of the effect of super sharrows on cyclist and vehicle behavior.

English

242p

2017

Transportation Research Record: Journal of the Transportation Research Board

9780309442107

Digital/other

Figures; Maps; Photos; References; Tables

Crashes; Data analysis; Pedestrian safety; Safety; Statistical analysis; Traffic safety

Data and Information Technology; Highways; Pedestrians and Bicyclists; Safety and Human Factors

TRIS, TRB, ATRI

Feb 5 2018 9:22AM

• Accounting for Driver Distraction and Socioeconomic Characteristics in a Crash Risk Index: Naturalistic Driving Study
• Analysis and Validation of Surrogate Safety Measures by Types of Lead and Following Vehicles
• Assessing Safety of Signalized Intersections: Influence of Geometric Attributes and Regionality on Traffic Accident Risk
• Can Data Generated by Connected Vehicles Enhance Safety? Proactive Approach to Intersection Safety Management
• Changing the Future? Development and Application of Pedestrian Safety Performance Functions to Prioritize Locations in Seattle, Washington
• Comparative Assessment of Safety Indicators for Vehicle Trajectories on Highways
• Developing Macrolevel Collision Prediction Models to Evaluate Bicycle Safety in Vancouver, British Columbia, Canada
• Evaluating Aging Pedestrian Crash Severity with Bayesian Complementary Log–Log Model for Improved Prediction Accuracy
• Evaluating Influence of Neighboring Structures on Spatial Crash Frequency Modeling and Site-Ranking Performance
• Evaluating the Impact of Socioeconomics, Land Use, Built Environment, and Road Facility on Cyclist Safety
• Examining Injury Severity of Not-At-Fault Drivers in Two-Vehicle Crashes
• Exploring Vehicle–Pedestrian Crash Severity Factors on the Basis of In-Car Black Box Recording Data
• Factors Affecting Classification of Road Segments into High- and Low-Speed Collision Regimes
• Impact of Congestion and Traffic Flow on Crash Frequency and Severity: Application of Smartphone-Collected GPS Travel Data
• Incorporating a Safety Index into Pathfinding
• Investigation of Different Geometric Representations of Road User Volume and Their Impact on Postencroachment Time
• Investigation of the Effect of Super Sharrows on Cyclist and Vehicle Behavior
• Methodology to Backcalculate Individual Speed Data Originally Aggregated by Road Detectors
• Mixed Effects Logistic Model to Address Demographics and Neighborhood Environment on Pedestrian Injury Severity
• Network-Based Point Pattern Analysis of Bicycle Accidents to Improve Cyclist Safety: Case of Vienna, Austria
• Predicting Day and Night Traffic Volumes on Rural Roads for Statistical Road Safety Modeling
• Preliminary Investigation of the Effectiveness of High-Visibility Crosswalks on Pedestrian Safety Using Crash Surrogates
• Traffic Conflict–Based Before–After Study with Use of Comparison Groups and the Empirical Bayes Method
• Using Naturalistic Driving Data to Develop a Typology of Speeding Episodes