NDLI: On maximally stabilizing adaptive traffic signal control

Content Provider	IEEE Xplore Digital Library
Author	Savla, K. Lovisari, E. Como, G.
Copyright Year	2013
Description	Author affiliation: Sonny Astani Dept. of Civil & Environ. Eng., Univ. of Southern California, Los Angeles, CA, USA (Savla, K.) \|\| Dept. of Autom. Control, Lund Univ., Lund, Sweden (Lovisari, E.; Como, G.)
Abstract	In this paper, we design adaptive traffic signal control policies for urban traffic networks. Vehicles at the end of an approach to an intersection queue up in separate lanes, with finite flow capacities, corresponding to different possible turn maneuvers according to static route choice behavior. We analyze stability of such traffic networks under signal control policies that, at every intersection, give green light to at most one incoming lane at any time. We particularly focus on a class of minimalist distributed policies, under which traffic signal control at an intersection requires information only about the occupancy levels on the lanes incoming at that intersection, and does not require information about turn ratios, flow capacities or the external arrival rates to the network. We show that such a minimalist policy that exhibits monotonicity in the green light durations with respect to the occupancy levels is maximally stabilizing for acyclic network topologies, and admits a globally asymptotically stable equilibrium. Our results rely on novel tools developed recently for stability analysis of monotone dynamical systems with conservation of mass. We also present simulations to compare the stability conditions under static and dynamic route choice.
Sponsorship	IEEE Cont. Syst. Soc.
Starting Page	464
Ending Page	471
File Size	763962
Page Count	8
File Format	PDF
e-ISBN	9781479934102
DOI	10.1109/Allerton.2013.6736561
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-10-02
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Asymptotic stability Network topology Roads Routing Vectors Stability analysis Vehicles
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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