Determining Sample Measures of Distracted Driving, Distracted Pedestrian Activities and Impacts of Such Behavior on Traffic Operations at Signalized Intersections [Brief]

Ballard, Tricia (Labud); Abou-Senna, Hatem · 2023 · ROSA P / Florida Department 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 research addresses the quantifiable impact of distracted driving and pedestrian activities on traffic operations at signalized intersections. While Florida law prohibits texting while a vehicle is moving, the study investigates the extent of travel delay caused by drivers looking at their phones while stopped at traffic lights and pedestrians responding to messages while crossing. The motivation stems from the recognition that beyond increased crash rates, these behaviors contribute to travel delays, poor speed control, excessive lane variability, and lowered reaction times. The study aims to quantify these effects as part of a traffic measure known as “lost time.” The research was conducted by the University of Central Florida under the Florida Department of Transportation. The team collected thousands of observations from 21 approaches across 15 intersections in Central Florida, encompassing various land uses, intersection configurations, and peak traffic periods. High-resolution video cameras were employed to record driver distractions across all traffic lanes. To accurately measure delays in driver response when signal lights switched from red to green, the team utilized two synchronized videos at each location. Additionally, custom video editing software was developed to detect, quantify, and document the level of driver distraction. The study specifically measured the effects of different distraction types on headway (distance between vehicles) for motorists and crossing time for pedestrians. The findings revealed significant rates of distraction among drivers. Fifty percent of drivers were distracted during through movements at intersections, while 87 percent were distracted during left-turn movements. Approximately one-third of these distracted drivers were using their cell phones. This specific distraction behavior increased headway by 20 percent and resulted in a 16.5 percent reduction in intersection capacity. These metrics provide concrete evidence of how stationary distraction directly impacts traffic flow efficiency. The significance of this study lies in its provision of empirical data to inform policy and engineering practices. The results offer lawmakers valuable information regarding regulations on cell phone use when vehicles are stationary, such as at intersections. Furthermore, traffic engineers can utilize these findings to improve intersection signal timing and enhance the accuracy of traffic simulation models. By quantifying the operational impacts of distraction, the research supports better infrastructure design and policy development to mitigate travel delays and improve overall traffic safety and efficiency.

Key finding

Cell phone distraction at signalized intersections increased headway by 20 percent and reduced intersection capacity by 16.5 percent.

Methodology

field_study

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 (7 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.

• visual
• pedestrian behavior perception
• temporal
• external distraction
• manual

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: behavioral performance data, observational prevalence