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Smart city article details
| Title | Intersection Sight Distance In Mixed Automated And Conventional Vehicle Environments With Yield Control On Minor Roads |
|---|---|
| ID_Doc | 33182 |
| Authors | Sarran S.; Hassan Y. |
| Year | 2025 |
| Published | Smart Cities, 8, 3 |
| DOI | http://dx.doi.org/10.3390/smartcities8030073 |
| Abstract | Highlights: Autonomous vehicle research is critical for developing smarter, safer, and more sustainable cities. Smart cities include the infrastructure and technologies that are necessary for autonomous vehicle (AV) operations. In planning for infrastructure and urban street designs, AV-related research such as this study informs roadway designs and optimized vehicle driving characteristics through the use of smart adaptive technologies that utilize vehicle sensors, artificial intelligence, and real-time data processing. What are the main findings? A surrogate safety measure, which is the probability of unresolved conflicts (PUC), is developed to account for the reliability of intersection sight distance (ISD) at intersections with yield control on a minor road and is applied for conventional, driver-operated vehicles (DVs), and automated vehicles (AVs). The results show mixed DV-AV and AV-only traffic to have higher PUC values than those of DV-only traffic. What is the implication of the main finding? The scenarios of mixed vehicle traffic with high PUC values indicate lower safety performances. A reduction in the speed limit for AVs on the minor road would lead to lowering the PUC values, improving the safety at the intersection. Intersection sight distance (ISD) requirements, currently designed for driver-operated vehicles (DVs), will be affected once automated vehicles (AVs) enter the driving environment. This paper examines the ISD for intersections with a yield control on a minor road in a mixed DV-AV environment. Five potential conflict types with different ISD requirements are modeled as a minor-road vehicle proceeds to cross the intersection, turns right, or turns left. Furthermore, different models are developed for each conflict type depending on the vehicle types on the minor and major roads. These models, along with the intersection geometry, establish the system demand and supply models for ISD reliability analysis. A surrogate safety measure is developed and used to measure ISD non-compliance and is denoted by the probability of unresolved conflicts (PUC). The models are applied to a case study intersection, where PUC values are estimated using Monte Carlo Simulation and compared to an established target value relating to the DV-only traffic of 0.00674. The results show that AV-related traffic has higher overall PUC values than those of DV-only traffic. A corrective measure, reducing the AV speed limit on the minor-road approaches by 3 to 4 km/h, decreases the overall PUC to values below those of the target PUC. © 2025 by the authors. |
| Author Keywords | automated vehicles (AVs); conflicts; driver-operated vehicles (DVs); intersection sight distance (ISD); probabilistic road design; probability of non-compliance (PNC); probability of unresolved conflict (PUC); reliability analysis |
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