Guidelines for Safer Pedestrian Crossings: Understanding the Factors That Positively Influence Vehicle Yielding to Pedestrians at Unsignalized Intersections

Stern, Raphael; Li, Tianyi · 2023 · ROSA P / Minnesota. Department of Transportation. Office of Research & Innovation

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Summary

This study investigates the factors influencing driver yielding behavior at unsignalized intersections, aiming to inform intersection design and policy to enhance pedestrian safety. Motivated by rising pedestrian fatalities and the legal requirement in Minnesota for drivers to yield, the research seeks to identify specific site and event characteristics that correlate with higher yielding rates. The goal is to provide data-driven guidelines for retrofitting existing crossings and designing new ones to maximize the probability of drivers yielding to pedestrians. The researchers collected observational data from 18 intersections in Minnesota during fall 2020 and summer 2021. Using custom-built Traffic Information Monitors mounted on 30-foot masts, they recorded video data over two-week periods, capturing over 3,300 pedestrian crossing events. Data extraction combined manual labeling of interaction outcomes (e.g., yield type, party size, pedestrian behavior) with computer-vision techniques to estimate vehicle speeds. The dataset included variables such as vehicle speed, party size, signage, crosswalk markings, number of lanes, and adjacent land use. Statistical analysis, primarily logistic regression, was employed to determine the likelihood of driver yielding based on these features. Key findings indicate that both event-specific and site-specific factors significantly influence yielding. Vehicle speed was a critical determinant; vehicles traveling above 25 mph were significantly less likely to yield than those traveling below this threshold. Site features also played a major role, with the presence of signs indicating a crossing strongly correlated with higher yielding rates. Other significant factors included the number of lanes, the presence of bike lanes, and adjacent land use. Contrary to common assumptions that pedestrians often cross without waiting for gaps, the study found that fewer than 4% of crossings involved pedestrians entering the road before a sufficient gap appeared. Additionally, crash history at a site showed no significant correlation with driver yielding rates. The significance of this work lies in its provision of empirical evidence to guide transportation engineering and policy. By identifying specific features that positively influence driver yielding, such as signage and speed management, the findings offer actionable recommendations for improving intersection design. This data-driven approach allows engineers to prioritize treatments that maximize yielding rates, thereby reducing risk and enhancing safety for pedestrians at unsignalized crossings. The study also challenges misconceptions about pedestrian behavior, highlighting that most pedestrians wait for appropriate gaps, shifting focus toward driver compliance and infrastructure design.

Key finding

Vehicle speed exceeding 25 mph and the presence of signs indicating a crossing were the most significant factors positively influencing driver yielding rates at unsignalized intersections.

Methodology

naturalistic

Sample size: 3314

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified_with_issues.

Topics

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• driver vru interaction
• pedestrian behavior perception
• rail grade crossings
• vru facing ehmi