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Optimization of an Improved Intermodal Transit Model Equipped with Feeder Bus and Railway Systems Using Metaheuristics Approaches

doi: 10.3390/su8060537
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.
- Islamic Azad University of Falavarjan Iran (Islamic Republic of)
- University of Malaya Malaysia
- Korea University Korea (Republic of)
- Islamic Azad University of Falavarjan Iran (Islamic Republic of)
- Korea University Korea (Republic of)
feeder bus, Environmental effects of industries and plants, intermodal coordination, public transportation, TJ807-830, TA Engineering (General). Civil engineering (General), TD194-195, routing and scheduling, metaheuristic algorithms, Renewable energy sources, Environmental sciences, public transportation; transit network design; feeder bus; intermodalcoordination; routing and scheduling; metaheuristic algorithms, GE1-350, transit network design
feeder bus, Environmental effects of industries and plants, intermodal coordination, public transportation, TJ807-830, TA Engineering (General). Civil engineering (General), TD194-195, routing and scheduling, metaheuristic algorithms, Renewable energy sources, Environmental sciences, public transportation; transit network design; feeder bus; intermodalcoordination; routing and scheduling; metaheuristic algorithms, GE1-350, transit network design
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).18 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
