Intelligent Trac Signals: Extending the Range of Self-Organization in the BML Model

Brown, Daniel J; Danforth, Christopher; University of Vermont. Transportation Research Center

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Intelligent Trac Signals: Extending the Range of Self-Organization in the BML Model

2013-04-01
By Brown, Daniel J ; Danforth, Christopher

[PDF-1.35 MB]

English

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Creators:

Brown, Daniel J ; Danforth, Christopher

Brown, Daniel J ; Danforth, Christopher Less -
Corporate Creators:

University of Vermont. Transportation Research Center
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Traffic Flow Theory Traffic Models Traffic Signals Two Dimensional Flow
Publication/ Report Number:

12-005
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

University of Vermont. Transportation Research Center
Abstract:

The two-dimensional traﬃc model of Biham, Middleton and Levine (BML) is a simple cellular automaton that exhibits a wide range of complex behavior. It consists of both northbound and eastbound cars traveling on a rectangular array of cells, each cell equipped with a traﬃc signal. The traﬃc signals switch synchronously from allowing northbound ﬂow to eastbound ﬂow. By gating individual traﬃc signals, i.e. allowing individual traﬃc signals to break from synchrony in predetermined, deterministic scenarios based on the local state of traﬃc, the range for which the system self-organizes into a state of unimpeded ﬂow is extended. On a 100x100 cell array, this additional intelligence enables accommodation of 200 cars more than the original BML model, without any reduction in average velocity.
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PDF
Collection(s):

University Transportation Centers
Main Document Checksum:

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urn:sha256:0c09d378db5df09354b71c4d068ae5ec4041c90ea776da78b0a05044a9eb49fe
Download URL:

https://rosap.ntl.bts.gov/view/dot/65851/dot_65851_DS1.pdf
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Intelligent Trac Signals: Extending the Range of Self-Organization in the BML Model

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