Journal article
Comparative Analysis of Evolutionary, Local Search, and Hybrid Approaches to O/D Traffic Estimation
Abstract
This paper compares the performance of various advanced evolutionary algorithm (EA) techniques to solve the problem of dynamic origin/destination (O/D) estimation. The potential of EA in the dynamic O/D estimation problem lies in their powerful global search and optimization capabilities. This EA-based demand estimation framework is implemented into a model that we call dynamic O/D estimator (DynODE). DynODE is integrated with an existing …
Authors
Kattan L; Abdulhai B
Journal
Journal of Transportation Engineering Part A Systems, Vol. 137, No. 1, pp. 46–56
Publisher
American Society of Civil Engineers (ASCE)
Publication Date
January 2011
DOI
10.1061/(asce)te.1943-5436.0000170
ISSN
2473-2907