An Improved Response Surface Methodology Algorithm with an Application to Traffic Signal Optimization for Urban Networks

Joshi, Shirish S.; Rathi, Ajay K.; Tew, Jeffrey D.; Oak Ridge National Laboratory; Consolidated Freightways, inc.

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An Improved Response Surface Methodology Algorithm with an Application to Traffic Signal Optimization for Urban Networks

1995-01-01
By Joshi, Shirish S. ; Rathi, Ajay K. ; Tew, Jeffrey D.

[PDF-523.15 KB]

English

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Creators:

Joshi, Shirish S. ; Rathi, Ajay K. ; Tew, Jeffrey D.

Joshi, Shirish S. ; Rathi, Ajay K. ; Tew, Jeffrey D. Less -
Corporate Creators:

Oak Ridge National Laboratory ; Consolidated Freightways, inc.

Oak Ridge National Laboratory ; Consolidated Freightways, inc. Less -
Subject/TRT Terms:

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Common Random Number (CRN) Variance Reduction Strategy Computer Algorithms Optimization Response Surface Methodology Traffic Signal Control Systems Traffic Signal Optimization
Resource Type:

Research Paper
Abstract:

Prepared ca. 1995. This paper illustrates the use of the simulation-optimization technique of response surface methodology (RSM) in traffic signal optimization of urban networks. It also quantifies the gains of using the common random number (CRN) variance reduction strategy in such an optimization procedure. An enhanced RSM algorithm which employs conjugate gradient search techniques and successive second-order models is presented instead of the conventional approach. An illustrative example using an urban traffic network exhibits the superiority of using the CRN strategy over direct simulation in performing traffic signal optimization. The relative performance of the two strategies is quantified with computerational results using the total network-wide delay as the measure of effectiveness (MOE).
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PDF
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US Transportation Collection
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urn:sha256:8f89b6ae2a8139a30a33f6eaebc127e4ae06e9f5ced3c96771b2f0a69f3da6c1
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https://rosap.ntl.bts.gov/view/dot/13541/dot_13541_DS1.pdf
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An Improved Response Surface Methodology Algorithm with an Application to Traffic Signal Optimization for Urban Networks

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