01477065

Component

https://doi.org/10.3141/2356-06

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

A hierarchical adaptive signal control was developed and implemented in New York City to manage congestion in a complex urban roadway environment. Control strategies, including strategically regulating traffic demand and balancing the queue–storage ratio at critical intersections, work in concert to systematically alleviate congestion and improve mobility. The high usage of electronic toll collection tags in this area allows large amounts of per trip travel time data to be collected (nearly 1 million per trip travel time records daily) and used in real time for effective control. Congestion levels are mapped to different control regimes. Various demand-regulating strategies are applied at the peripheral roadways of the target control zone. These strategies proactively employ signal offsets and splits to exert a tapering and rebalancing effect on the traffic. Demand regulation results in a better use of available network storage spaces while preserving the capacity of the target control zone. Inside the target control area, a dynamic queue-balancing strategy is implemented at selected critical intersections to prevent propagation of spillovers with stabilized or diminished queues. The initial implementation covered 110 intersections in the highly congested central business district of midtown Manhattan New York City. Results to date are summarized.

01497498

13-4154

English

pp 44–52

2013

Transportation Research Record: Journal of the Transportation Research Board

9780309286824

Print

Figures (5) ; References (41) ; Tables (2)

Adaptive control; Congestion management systems; Queuing; Real time information; Traffic congestion; Traffic signal control systems; Travel time; Urban areas

Road networks

Manhattan (New York, New York)

Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Safety and Human Factors; I73: Traffic Control

TRIS, TRB, ATRI

Feb 5 2013 12:48PM

• Arterial Queue Spillback Detection and Signal Control Based on Connected Vehicle Technology
• Coordinated Optimization Model for Signal Timings of Full Continuous Flow Intersections
• Design and Evaluation of an Intelligent Dilemma-Zone Protection System for a High-Speed Rural Intersection
• Dynamic Programming Approach for Arterial Signal Optimization
• Effective Coordinated Optimization Model for Transit Priority Control Under Arterial Progression
• Effects of Metered Entry Volume on an Oversaturated Network with Dynamic Signal Timing
• Estimating Queue Length Under Connected Vehicle Technology: Using Probe Vehicle, Loop Detector, and Fused Data
• Evaluation of Microwave Radar Vehicle Detectors at a Signalized Intersection Under Adverse Weather Conditions
• Experiences with Adaptive Signal Control in Germany
• Performance Diagnosis Tool for Arterial Traffic Signals
• Self-Organizing Control Logic for Oversaturated Arterials
• Statistical Study of the Impact of Adaptive Traffic Signal Control on Traffic and Transit Performance
• Transit Priority Strategies for Multiple Routes Under Headway-Based Operations