01516103

Component

https://doi.org/10.3141/2463-06

This research effort explored the factors associated with higher driver yielding rates at pedestrian crossings with traffic control signal (TCS), pedestrian hybrid beacon (PHB), and rectangular rapid-flashing beacon (RRFB) treatments in Texas. The percentages of drivers yielding to a staged pedestrian were collected at 7 TCS sites, 22 RRFB sites, and 32 PHB sites. Overall, TCSs in Texas had the highest driver yielding rates, with an average of 98%. The average driver yielding rate for RRFBs in Texas was 86%, whereas the average for PHBs was 89%. The RRFB results for Texas were slightly higher than those found in other studies, perhaps because all RRFB sites included in this analysis had "School Crossing" signs and were located near a school. The number of devices within a city may have an impact on driver yielding. Those cities with a greater number of a particular device (i.e., Austin, Texas, for the PHBs and Garland, Texas, for the RRFBs) had higher driver yielding rates than cities where the device was used at only a few crossings. A comparison of the number of days since installation revealed statistically significantly higher driver yielding rates for those devices that had been installed longer. For PHBs, the results support the use of PHBs on roadways with multiple lanes or a wide crossing. For RRFBs, a lower rate of compliance was observed for longer crossing distances and indicated that for a certain crossing distance width, a device other than the RRFB should be considered.

01556287

14-3829

English

pp 46–54

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295574

Print

Figures (3) ; Photos; References (15) ; Tables (7)

Automobile drivers; Crosswalks; Flashing beacons; Pedestrian movement; Pedestrians; Signalized intersections; Traffic signals; Urban areas; Warning signs; Yielding

Austin (Texas); Garland (Texas); Texas

Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors; I83: Accidents and the Human Factor; I85: Safety Devices used in Transport Infrastructure

TRIS, TRB, ATRI

Jan 27 2014 3:19PM

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• Interactive Decision Support System for Predicting Flashing Yellow Arrow Left-Turn Mode by Time of Day
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• Prediction of Driver Action at Signalized Intersections by Using a Nested Logit Model
• Safety and Operational Impacts of Optional Flashing Yellow Arrow Delay
• Three- or Four-Section Displays for Permissive Left Turns? Some Evidence from a Simulator-Based Analysis of Driver Performance
• Traffic Sign Recognition Using Sparse Representations and Active Contour Models