A Simultaneous Solution for Reserve Capacity Maximization and Delay Minimization Problems in Signalized Road Networks. (12th May 2019)

• Record Type: Journal Article
• Authors: Baskan, Ozgur; Ceylan, Huseyin; Ozan, Cenk
• Other Names: de Luca Stefano Academic Editor.
• Is Part Of: Journal of advanced transportation. Volume 2019(2019)
• Publication Date: 2019-05-12
• Subjects: Transportation -- Periodicals; 388.05
• DOI: 10.1155/2019/6203137
• Languages: English
• ISSNs: 0197-6729

Abstract

Abstract : In this study, we present a bilevel programming model in which upper level is defined as a biobjective problem and the lower level is considered as a stochastic user equilibrium assignment problem. It is clear that the biobjective problem has two objectives: the first maximizes the reserve capacity whereas the second minimizes performance index of a road network. We use a weighted-sum method to determine the Pareto optimal solutions of the biobjective problem by applying normalization approach for making the objective functions dimensionless. Following, a differential evolution based heuristic solution algorithm is introduced to overcome the problem presented by use of biobjective bilevel programming model. The first numerical test is conducted on two-junction network in order to represent the effect of the weighting on the solution of combined reserve capacity maximization and delay minimization problem. Allsop & Charlesworth's network, which is a widely preferred road network in the literature, is selected for the second numerical application in order to present the applicability of the proposed model on a medium-sized signalized road network. Results support authorities who should usually make a choice between two conflicting issues, namely, reserve capacity maximization and delay minimization.