LED Traffic Signal Replacement Schedules: Facilitating Smooth Freight Flows

Authors

Suzanna Long Ph.D., Missouri University of Science and Technology
Ruwen Qin Ph.D., Missouri University of Science and Technology
Abhijit Gosavi Ph.D., Missouri University of Science and Technology
C. H. Wu Ph.D, Missouri University of Science and Technology
Tom Ryan P.E., Missouri University of Science and Technology
Casey Noll, Missouri University of Science and Technology

Date of this Version

2012

Document Type

Article

Citation

Report # UNL-MST: 442 Final Report 25-1121-0001-442

Comments

2012 Copyright of Mid-America Transportation Center

Abstract

This research details a field study of LED traffic signals in Missouri and develops a replacement schedule based on key findings. Rates of degradation were statistically analyzed using Analysis of Variance (ANOVA). Results of this research will provide a methodology for engineering managers in state departments of transportation and local communities in identifying best practices and replacement standards for LED traffic signal technology. These findings will facilitate smooth freight flows through the use of more efficient technologies