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Amirali Zarrinmehr

Amirali Zarrinmehr

Academic rank: Assistant Professor
ORCID:
Education: PhD.
ScopusId:
Faculty: Faculty of Technology and Engineering
Address: Uiversity of Mazandaran
Phone: 011-35302903

Research

Title
A local search algorithm for finding optimal transit routes configuration with elastic demand
Type
JournalPaper
Keywords
transit route; optimal configuration; elastic demand; local search algorithm; traffic assignment
Year
2018
Journal International Journal of Operational Research
DOI
Researchers Amirali Zarrinmehr ، Mahmoud Saffarzadeh ، Seyedehsan Seyedabrishami

Abstract

This paper proposes a new local search algorithm for finding the optimal configuration of sub-routes from a set of candidate transit routes in a transportation network. It is intended to maximize the transit ridership while holding the budget constraint. In each iteration of the algorithm, route segments that are likely to absorb more transit passengers are added to the configuration and less-contributing segments are removed, instead. A path-based model with elastic demand is applied for traffic assignment problem. The algorithm takes advantage of the equilibrium paths information to speed up the calculations for emerging configurations. A numerical experiment on Sioux-Falls network indicates that the proposed algorithm can achieve high-quality solutions at different levels of budget. Also, the run-time and performance of the algorithm are reported over a large problem instance of the Chicago Sketch network with 55 artificial candidate routes.