Understanding interactions between drivers and pedestrian features at signalized intersections.

Lin, Pei-Sung; Kourtellis, Achilleas; Wang, Zhenyu; Guo, Rui · 2015 · ROSA P / Florida. Dept. of Transportation

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This study addresses the critical issue of pedestrian safety in Florida, which recorded the highest pedestrian fatality rate in the United States from 2008 to 2011. The research specifically investigates driver interactions with four pedestrian features at signalized intersections: “STOP HERE ON RED,” “NO TURN ON RED,” “TURNING VEHICLES YIELD TO PEDESTRIANS,” and “RIGHT ON RED ARROW AFTER STOP” signs. The primary objective was to determine how these features influence driver compliance and reduce vehicle-pedestrian conflicts, thereby informing the development of effective countermeasures for the Florida Department of Transportation. The researchers utilized data from the Strategic Highway Research Program 2 (SHRP2) Naturalistic Driving Study (NDS) and the Road Information Database (RID). To manage the large-scale video and sensor data, the team developed two software tools: the NDS Automatic Video Processing Tool (AVPT) for automatic pedestrian and traffic signal detection, and the NDS Data Reduction and Analysis Tool (DRAT) for reviewing events and linking data sources. The study analyzed 2,700 trip segments from 54 participants across 15 selected intersections in the Tampa Bay area. A cross-sectional analysis compared compliant driver behaviors at sites with pedestrian features (feature group) against sites without them (control group), using Chi-square tests to assess statistical significance. The findings indicate that the “NO TURN ON RED” sign achieved the highest compliance rate (70%), followed by “RIGHT ON RED ARROW AFTER STOP” (67%), “TURNING VEHICLES YIELD TO PEDESTRIANS” (67%), and “STOP HERE ON RED” (55%). Three of the four features significantly increased the likelihood of compliant behaviors compared to control groups. Notably, drivers exhibited significantly higher compliance at feature sites than control sites when pedestrians were absent (67% vs. 29%). While compliance increased for both groups when pedestrians were present, the difference between feature and control sites was not statistically significant due to small sample sizes. Demographic analysis revealed that female drivers reported higher distraction levels but demonstrated more consistent compliance than male drivers. Mid-age drivers also showed higher consistency in compliance compared to other age groups, while drivers aged 60+ reported taking fewer risks. The study concludes that specific pedestrian features effectively enhance driver compliance, even in the absence of pedestrians, suggesting their utility in proactive safety management. The development of automated data processing tools proved essential for analyzing naturalistic driving data efficiently. The authors recommend future studies with larger sample sizes to validate these findings and further explore the impact of driver characteristics on compliance. These insights support the implementation of targeted engineering countermeasures to mitigate pedestrian fatalities in high-risk areas.

Key finding

The 'No Turn on Red' sign yielded the highest driver compliance rate at 70%, and the presence of pedestrian features significantly increased compliance compared to control sites when pedestrians were absent.

Methodology

naturalistic

Sample size: 54

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.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

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

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: observational prevalence, behavioral performance data
• Methodological Resource: dataset resource