DocumentCode :
743056
Title :
Capacity-Aware Backpressure Traffic Signal Control
Author :
Gregoire, Jean ; Xiangjun Qian ; Frazzoli, Emilio ; de La Fortelle, Arnaud ; Wongpiromsarn, Tichakorn
Author_Institution :
Mines ParisTech-PSL Res. Univ., Paris, France
Volume :
2
Issue :
2
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
164
Lastpage :
173
Abstract :
The control of a network of signalized intersections is considered. Previous work demonstrates that the so-called backpressure control provides stability guarantees, assuming infinite queues capacities. In this paper, we highlight the failing current of backpressure control under finite capacities by identifying sources of nonwork conservation and congestion propagation. We propose the use of a normalized pressure which guarantees work conservation and mitigates congestion propagation, while ensuring fairness at low traffic densities, and recovering original backpressure as capacities grow to infinity. This capacity-aware backpressure control enables improving performance as congestion increases, as indicated by simulation results, and keeps the key benefits of backpressure: the ability to be distributed over intersections and O(1) complexity.
Keywords :
computational complexity; road traffic control; stability; O(1) complexity; capacity-aware backpressure traffic signal control; congestion propagation; traffic density; Complexity theory; Control systems; Junctions; Niobium; Servers; System recovery; Vehicles; Back pressure; capacity; traffic signal control;
fLanguage :
English
Journal_Title :
Control of Network Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
2325-5870
Type :
jour
DOI :
10.1109/TCNS.2014.2378871
Filename :
6979216
Link To Document :
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