01515391

Component

https://doi.org/10.3141/2438-02

The proper detection of both vehicles and pedestrians is critical for operations of signalized intersections, especially intersections with adaptive traffic signal control. Faulty detectors must be identified as quickly as possible so that they can be repaired and their erroneous output corrected (e.g., preventing an adaptive algorithm from continuing to allocate green time to a detector that is stuck on). This study establishes a procedure to determine static detector fault thresholds (e.g., maximum detector on time and maximum detector off time) that can be programmed into a traffic signal controller. This procedure analyzes detector on and off durations over multiple days to define distributions of those parameters. The study analyzes data for 154 detectors in Morgantown, West Virginia, to generate on and off distributions and calculate the resulting 90th, 95th, and 99th percentile values. The detectors are divided into three groups on the basis of their physical locations relative to the intersection (e.g., stop bar or advance) and the approach function (e.g., mainline or minor). Default thresholds for the three groups are recommended for the signal system through the application of a 95% confidence limit to the 99th percentile values and local knowledge of the system. The procedure defined here can be applied to other signal systems to determine these thresholds.

01556562

14-5182

English

pp 12–22

2014

Transportation Research Record: Journal of the Transportation Research Board

9780309295352

Print

Figures (6) ; Maps; References (15) ; Tables (3)

Adaptive control; Empirical methods; Fault monitoring; Signalized intersections; Traffic signal control systems; Vehicle detectors

Morgantown (West Virginia)

Highways; Operations and Traffic Management; I73: Traffic Control

PRP, TRIS, TRB, ATRI

Jan 27 2014 3:49PM

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