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Article

Evaluation of the Intersection Sight Distance at Stop-Controlled Intersections in a Mixed Vehicle Environment

Department of Civil Engineering, University of Guyana, Turkeyen Campus, Greater Georgetown, Georgetown P.O. Box 101110, Guyana
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World Electr. Veh. J. 2025, 16(5), 245; https://doi.org/10.3390/wevj16050245
Submission received: 6 March 2025 / Revised: 11 April 2025 / Accepted: 17 April 2025 / Published: 23 April 2025
(This article belongs to the Special Issue Recent Advances in Autonomous Vehicles)

Abstract

The introduction of autonomous vehicles (AVs) on roadways will result in a mixed vehicle environment consisting of these vehicles and manual vehicles (MVs). This vehicular environment will impact intersection sight distances (ISDs) due to differences in the driving behaviors of AVs and MVs. Currently, ISD design values for stop-controlled intersections are based on AASHTO’s guidelines, which account only for human driver behaviors. However, with AVs in the traffic stream, it is important to assess whether the existing MV-based ISDs are compliant when an AV is present at an intersecting roadway. Hence, this study utilizes the Monte Carlo Simulation method to compute the PNC of various object locations on the major and minor roadways for possible vehicle interaction types in a mixed vehicle environment at a stop-controlled intersection. Scenarios generated considered these variables and the major roadway speed limits and sight distance triangles (SDTs). ISD non-compliance was determined by examining the PNC metric, which occurred when the demand exceeded the supply. The results indicated that when AV–MV interaction was present at the intersection, the MV-based ISD design was non-compliant. However, it is possible to correct this non-compliance issue by reducing the AV speed limit.
Keywords: manual vehicles (MVs); autonomous vehicles (AVs); intersection sight distance (ISD); stop-controlled intersections; Monte Carlo Simulation (MCS); probability of non-compliance (PNC); mixed traffic environment manual vehicles (MVs); autonomous vehicles (AVs); intersection sight distance (ISD); stop-controlled intersections; Monte Carlo Simulation (MCS); probability of non-compliance (PNC); mixed traffic environment

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MDPI and ACS Style

Sarran, J.; Sarran, S. Evaluation of the Intersection Sight Distance at Stop-Controlled Intersections in a Mixed Vehicle Environment. World Electr. Veh. J. 2025, 16, 245. https://doi.org/10.3390/wevj16050245

AMA Style

Sarran J, Sarran S. Evaluation of the Intersection Sight Distance at Stop-Controlled Intersections in a Mixed Vehicle Environment. World Electric Vehicle Journal. 2025; 16(5):245. https://doi.org/10.3390/wevj16050245

Chicago/Turabian Style

Sarran, Jana, and Sean Sarran. 2025. "Evaluation of the Intersection Sight Distance at Stop-Controlled Intersections in a Mixed Vehicle Environment" World Electric Vehicle Journal 16, no. 5: 245. https://doi.org/10.3390/wevj16050245

APA Style

Sarran, J., & Sarran, S. (2025). Evaluation of the Intersection Sight Distance at Stop-Controlled Intersections in a Mixed Vehicle Environment. World Electric Vehicle Journal, 16(5), 245. https://doi.org/10.3390/wevj16050245

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