DocumentCode :
1420103
Title :
A Probe-Vehicle-Based Evaluation of Adaptive Traffic Signal Control
Author :
Hunter, Michael P. ; Wu, Seung Kook ; Kim, Hoe Kyoung ; Suh, Wonho
Author_Institution :
Georgia Inst. of Technol., Atlanta, GA, USA
Volume :
13
Issue :
2
fYear :
2012
fDate :
6/1/2012 12:00:00 AM
Firstpage :
704
Lastpage :
713
Abstract :
In 2005, the Cobb County Department of Transportation, Cobb County, GA, conducted an adaptive signal control pilot study implementing the Sydney Coordinated Adaptive Traffic System (SCATS) on 15 intersections. This paper presents the results of a before-and-after probe-vehicle-based operational comparison of optimized time-of-day (i.e., before control) and SCATS (i.e., after control) traffic control system performance. The focus of this operational analysis is the typical operating performance during the weekday peak, weekday off-peak, and weekend travel periods. Travel time data were collected using Global-Positioning-System (GPS)-equipped test vehicles. The results showed that both systems provided good performance, whereas neither the before time-of-day or after SCATS is clearly dominant, except on Cumberland Parkway, where SCATS control consistently provides equivalent or superior performance to that of the time-of-day control.
Keywords :
Global Positioning System; adaptive control; adaptive signal processing; road traffic control; road vehicles; Cobb County Department of Transportation; GPS-equipped test vehicle; Global-Positioning-System; SCATS control; Sydney coordinated adaptive traffic system; adaptive signal processing; adaptive traffic signal control; operating performance; optimized time-of-day; probe-vehicle-based evaluation; time-of-day control; traffic control system performance; travel time data; Adaptive systems; Control systems; Delay; Global Positioning System; Probes; Roads; Vehicles; Adaptive signal processing; Global-Positioning-System (GPS)-equipped test vehicle; Sydney coordinated adaptive traffic system (SCATS); traffic control;
fLanguage :
English
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1524-9050
Type :
jour
DOI :
10.1109/TITS.2011.2178404
Filename :
6129428
Link To Document :
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