Research Papers

Safety Evaluation of Signalized Intersections with Automated Vehicles at Various Penetration Levels based on Conflict Analysis of Simulated Traffic

Filename 2A_2_Espinosa_Paper_Student-Comp.pdf
Filesize 401 KB
Version 1
Date added June 26, 2017
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Category 2017 CARSP XXVII Toronto
Tags Research and Evaluation, Session 2A, Student Paper Award Winner
Author/Auteur Maria Espinosa
Stream/Volet Research and Evaluation
Award/Prix Étudiant 1 Student

Slidedeck Presentation

2A_2_Espinosa

Abstract

Automated vehicles (AVs) are expected to offer great benefits by potentially reducing crashes.
The safety at signalized intersections is influenced by several factors, one of them being the
driving behavior. By introducing AVs on the roads, the unpredictability of this factor will
potentially decrease and eventually, reduce crashes. By using micro-simulation, it was possible
to use simulated traffic conflicts as indicators of potential crashes, to analyze the potential safety
of signalized intersections in the presence of automated vehicles. The objective was to compare
crash frequency for signalized intersections at various AVs penetration levels (0%, 50%, and
100%) by using prediction models that relate crashes to conflicts. Furthermore, the effect on
crashes by introducing a hypothetical left turn protection treatment was also evaluated. The
results indicated that intersection safety may improve in the presence of AVs. However, the
safety effects of treatments may be reduced compared to the effects with no AVs.

Maria Espinosa