Method for Comparison of Surrogate Safety Measures in Multi-Vehicle Scenarios
Del Re, Enrico, Olaverri-Monreal, Cristina
–arXiv.org Artificial Intelligence
With the race towards higher levels of automation in vehicles, it is imperative to guarantee the safety of all involved traffic participants. Yet, while high-risk traffic situations between two vehicles are well understood, traffic situations involving more vehicles lack the tools to be properly analyzed. This paper proposes a method to compare Surrogate Safety Measures values in highway multi-vehicle traffic situations such as lane-changes that involve three vehicles. This method allows for a comprehensive statistical analysis and highlights how the safety distance between vehicles is shifted in favor of the traffic conflict between the leading vehicle and the lane-changing vehicle.
arXiv.org Artificial Intelligence
Apr-18-2023
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