An improved response surface methodology algorithm with an application to traffic signal optimization for urban networks [electronic resource].
- Published
- Washington, D.C. : United States. Federal Highway Administration, 1995.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy. - Physical Description
- 6 pages : digital, PDF file
- Additional Creators
- Oak Ridge National Laboratory, United States. Federal Highway Administration, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- 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 ovr direct simulation in performing traffic signal optimization. Relative performance of the two strategies is quantified with computational results using the total network-wide delay as the measure of effectivness.
- Report Numbers
- E 1.99:conf-951276--1
conf-951276--1 - Subject(s)
- Other Subject(s)
- Note
- Published through SciTech Connect.
12/31/1995.
"conf-951276--1"
"DE96008679"
1995 winter simulation conference, Crystal City, VA (United States), 3-6 Dec 1995.
Tew, J.D.; Joshi, S.S.; Rathi, A.K. - Funding Information
- AC05-96OR22464
View MARC record | catkey: 14077036