01044873

Component

https://doi.org/10.3141/2019-29

http://scholar.google.com...sler&publication_year=2007

Knowledge about characteristics of crash-involved drivers and their driving performance can enhance countermeasure programs designed to improve safety on roadways. However, few studies have been able to analyze detailed exposure data of individual drivers (travel by time of day and by roadway type) alongside driving performance data (speed, throttle, braking, and acceleration). Thus, researchers have been forced to base safety analyses on aggregate crash experience rather than on more frequent individual driving activities and driving performance parameters. This research evaluated driving exposure and performance differences between drivers who were involved in crashes versus drivers who were not involved in crashes during a 14-month study period, on the basis of data for vehicles with Global Positioning Systems. The objective was to verify whether the exposure of crash-involved drivers and driving performance were significantly different on the basis of disaggregated analyses by facility types and trip start times. Researchers found that the mileage exposure, speed, and acceleration patterns of drivers who were involved in crashes during the study period were significantly different from those of drivers who were not involved in crashes. Further, crash-involved drivers accumulated more mileage, consistently traveled at higher speeds, and engaged more frequently in hard deceleration events than their no-crash counterparts did. Although this study does not definitively correlate driver exposure and performance measures with crash causation, it does suggest that there is real potential to identify at-risk drivers on the basis of data obtained from vehicle-monitoring technologies. The identification and immediate correction of at-risk behaviors could obviate crash experience. If this research is successful, the surrogate measures also would reduce safety analysts’ dependency on crash data.

01088293

English

pp 246-255

2007

Transportation Research Record: Journal of the Transportation Research Board

9780309104463

Print

Figures (6) ; References (26) ; Tables (5)

Acceleration (Mechanics); Behavior; Braking; Crash analysis; Deceleration; Drivers; Driving; Global Positioning System; High risk drivers; Instrumented vehicles; Speeding; Traffic safety

Spatiotemporal analysis

Highways; Safety and Human Factors; I83: Accidents and the Human Factor

TRIS, TRB, ATRI

Feb 8 2007 7:46PM

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• Impact of Active Speed Limiters on Traffic Flow and Safety: Simulation-Based Evaluation
• Improving Reliability of Road Safety Estimates Based on High Correlated Accident Counts
• Investigating Effect of Holidays on Daily Traffic Counts: Time Series Approach
• Investigation of Regression-to-Mean Effect in Traffic Safety Evaluation Methodologies
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• Macrolevel Collision Prediction Models to Enhance Traditional Reactive Road Safety Improvement Programs
• Method for Assessing Safety of Routes in a Road Network
• Multiple-Model Framework for Assessment of Real-Time Crash Risk
• Multivariate Poisson–Lognormal Models for Jointly Modeling Crash Frequency by Severity
• Operational Criteria of Causality for Observational Road Safety Evaluation Studies
• Optimization of Highway Safety and Operation by Using Crash Prediction Models with Accident Modification Factors
• Prediction of Fatality Rates for Comparison Between States
• Right-Angle Crash Occurrence at Signalized Intersections
• Roundabout In-Service Safety Reviews: Safety Assessment Procedure
• Safety Index for Evaluation of Two-Lane Rural Highways
• Safety Planning Study of Urban Freeways: Proposed Methodology and Review of Case History
• Safety Prediction Models: Proactive Tool for Safety Evaluation in Urban Transportation Planning Applications
• System for Digitizing Information on Wisconsin’s Crash Locations