Journal
JOURNAL OF URBAN PLANNING AND DEVELOPMENT
Volume 139, Issue 1, Pages 22-32Publisher
ASCE-AMER SOC CIVIL ENGINEERS
DOI: 10.1061/(ASCE)UP.1943-5444.0000130
Keywords
Combined travel demand model; Partial linearization algorithm; Line search; Quadratic interpolation; Self-regulated averaging
Funding
- Oriental Scholar Professorship Program
- Shanghai Ministry of Education in China
- National Nature Science Foundation of China [70631002, 70701027]
- Program for New Century Excellent Talents in University [NCET-08-0406]
- China Scholarship Council
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Combined travel demand models (CTDM) that integrate trip generation, trip distribution, modal split, and traffic assignment have been developed to resolve the inconsistency problem between the level-of-service and flow values of the sequential four-step travel demand forecasting procedure. In this paper, an improved partial linearization algorithm for solving the logit-based combined travel-destination-mode-route choice model formulated as a convex mathematical programming is developed. The improvements mainly focus on exploring recent advances in line search strategies to minimize the computational efforts required to determine a suitable stepsize that guarantees convergence. Specifically, the quadratic interpolation and the self-regulated averaging schemes are examined. Numerical results show that the self-regulated averaging line search scheme is more effective and efficient for solving the convex mathematical programming with a complex objective function in terms of solution quality and computational effort. DOI: 10.1061/(ASCE)UP.1943-5444.0000130. (C) 2013 American Society of Civil Engineers.
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