Optimization of an improved intermodal transit model equipped with feeder bus and railway systems using metaheuristics approaches
Document Type
Article
Publication Date
1-1-2016
Abstract
One of the serious concerns in network design is creating an efficient and appropriate network capable of efficiently migrating the passenger's mode of transportation from private to public. The main goal of this study is to present an improved model for combining the feeder bus network design system and the railway transit system while minimizing total cost. In this study, the imperialist competitive algorithm (ICA) and the water cycle algorithm (WCA) were employed to optimize feeder bus and railway services. The case study and input data were based on a real transit network in Petaling Jaya, Kuala Lumpur, Malaysia. Numerical results for the proposed model, including the optimal solution, statistical optimization results and the convergence rate, as well as comparisons are discussed in detail.
Keywords
Public transportation, Transit network design, Feeder bus, Intermodal coordination, Routing and scheduling, Metaheuristic algorithms
Divisions
sch_civ
Publication Title
Sustainability
Volume
8
Issue
6
Publisher
MDPI