01477604

Component

https://doi.org/10.3141/2386-19

http://scholar.google.com...nier&publication_year=2013

Despite the rise in interest in surrogate safety analysis, little work has been done to understand and test the impact of methods for motion prediction, which are needed to identify whether two road users are on a collision course, and to compute several surrogate safety indicators such as the time to collision. The default, unjustified method used in much of the literature is prediction at constant velocity. In this study, a generic framework is presented to predict road users’ future positions depending on their current position and their choice of acceleration and direction. This method results in the possibility of generating many predicted trajectories by sampling distributions of acceleration and direction. Three safety indicators—the time to collision, an extended version of predicted postencroachment time, and a new indicator measuring the probability that the road user’s attempted evasive actions will fail to avoid the collision—are computed over all predicted trajectories. These methods and indicators are illustrated in four case studies of lateral road user interactions. The evidence suggests that the prediction method based on the use of a set of initial positions seems to be the most robust. Another contribution of this study is to make all the data and code used available (the code as open source) to enable reproducibility and to start a collaborative effort to compare and improve the methods for surrogate safety analysis.

01514599

13-4647

English

pp 168–178

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309287036

Print

Figures (6) ; Photos; References (30)

Crashes; Highway safety; Mathematical prediction; Motion; Probability; Vehicle trajectories

Surrogate safety measures

Data and Information Technology; Highways; Planning and Forecasting; Safety and Human Factors; I72: Traffic and Transport Planning; I80: Accident Studies

TRIS, TRB, ATRI

Feb 5 2013 12:54PM

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• Evolutionary Game Theoretic Approach to Rear-End Events on Congested Freeway
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• Full Bayes Before-and-After Evaluation of Traffic Safety Improvements in City of Edmonton, Canada
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• Identification of Crash-Contributing Factors: Effects of Spatial Autocorrelation and Sample Data Size
• Identifying Primary and Secondary Crashes from Spatiotemporal Crash Impact Analysis
• On-Duty Struck-By Crashes: Characteristics and Contributing Factors
• Safety and Operational Benefits of Variable Speed Limits Under Different Traffic Conditions and Driver Compliance Levels
• Safety Evaluation of Horizontal Curves on Rural Undivided Roads
• Screening Naturalistic Driving Study Data for Safety-Critical Events
• Surrogate Safety Measure for Simulation-Based Conflict Study