01476808

Component

https://doi.org/10.3141/2355-04

http://scholar.google.com...wamy&publication_year=2013

A simple methodology estimates queue length on an approach to a signalized intersection. This method has a minimal set of data requirements—flow, occupancy, cycle length, and detector setback—in contrast to prevailing methods that use detailed data defined on a per signal cycle basis to estimate vehicle trajectories. The key element of the algorithm is the estimation of two baseline occupancies that correspond to the relative position of the queue with respect to the detector location. The results of the algorithm were evaluated through traffic simulation and were also compared with field observations. Comparison of the queue estimates suggests that the detector location would be ideal for estimating queues if under prevailing conditions the tail of the queue is routinely longer than the detector setback. For detectors with appropriate setback, queue estimates match well in both comparisons. This algorithm was developed as part of the Midtown in Motion project and is operational in New York City as one of the elements of the active traffic management system.

01495450

13-1279

English

pp 31-38

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309286725

Print

Figures (6) ; References (13) ; Tables (2)

Algorithms; Detectors; Methodology; Microwave detectors; Signalized intersections; Traffic flow; Traffic queuing

New York (New York)

Data and Information Technology; Highways; Operations and Traffic Management; Safety and Human Factors; I71: Traffic Theory; I73: Traffic Control

PRP, TRIS, TRB, ATRI

Feb 5 2013 12:21PM

• Coordinated Optimization of Signal Timings for Intersection Approach with Presignals
• Development and Use of Critical Functional Requirements for Controller Upgrade Decisions
• Increasing the Capacity of Signalized Intersections with Dynamic Use of Exit Lanes for Left-Turn Traffic
• Longitudinal Performance Measures for Assessing Agencywide Signal Management Objectives
• Optimized Advance Detector Configuration for Option Zone Protection at High-Speed Signalized Intersections
• Probability Model for Understanding the Effects of Detector Delays on Right-Turn-on-Red Traffic
• Revisiting the Cycle Length: Lost Time Question with Critical Lane Analysis
• Traffic Signal Timing Optimization: Choosing the Objective Function
• Two-Step Optimization Model for Dynamic Lane Assignment at Isolated Signalized Intersections