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Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata
Joint Authors
Gershenson, Carlos
Zapotecatl, Jorge L.
Rosenblueth, David A.
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-30
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Self-organizing traffic lights have shown considerable improvements compared to traditional methods in computer simulations.
Self-organizing methods, however, use sophisticated sensors, increasing their cost and limiting their deployment.
We propose a novel approach using simple sensors to achieve self-organizing traffic light coordination.
The proposed approach involves placing a computer and a presence sensor at the beginning of each block; each such sensor detects a single vehicle.
Each computer builds a virtual environment simulating vehicle movement to predict arrivals and departures at the downstream intersection.
At each intersection, a computer receives information across a data network from the computers of the neighboring blocks and runs a self-organizing method to control traffic lights.
Our simulations showed a superior performance for our approach compared with a traditional method (a green wave) and a similar performance (close to optimal) compared with a self-organizing method using sophisticated sensors but at a lower cost.
Moreover, the developed sensing approach exhibited greater robustness against sensor failures.
American Psychological Association (APA)
Zapotecatl, Jorge L.& Rosenblueth, David A.& Gershenson, Carlos. 2017. Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata. Complexity،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1143438
Modern Language Association (MLA)
Zapotecatl, Jorge L.…[et al.]. Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata. Complexity No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1143438
American Medical Association (AMA)
Zapotecatl, Jorge L.& Rosenblueth, David A.& Gershenson, Carlos. Deliberative Self-Organizing Traffic Lights with Elementary Cellular Automata. Complexity. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1143438
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143438