People Movement-driven Dynamic Bus Routing Problem with Route Similarity Maximization

Sutrisno, Evan and Sutomo, Clinton and Novawanda, Olyvia and Singgih, Ivan Kristianto (2025) People Movement-driven Dynamic Bus Routing Problem with Route Similarity Maximization. Industrial Engineering & Management Science, 24 (4). pp. 624-631. ISSN 1598-7248; E-ISSN 2234-6473

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Official URL / DOI: https://doi.org/10.7232/iems.2025.24.4.624

Abstract

In the era of Industry 4.0, utilizing big data to make real-time decisions becomes possible. In the mobility and transportation area, including public transportation services, innovative practices could be incorporated to make better decisions for the system and its users. This study proposes a novel dynamic bus routing model. In the proposed mathematical formulation, previous bus routes are considered when designing new routes while minimizing the changes in the routes. Such a decision on minimizing the changes is made to provide a better experience by the bus passengers. In the numerical experiments, various data sets are solved. This study could be an initial study for the next studies to discover other potential problems to solve within the context of big data and Industry 4.0.

Item Type: Article
Uncontrolled Keywords: Dynamic Bus Routing, Mathematical Model, Route Similarity
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering > Department of Industrial Engineering
Depositing User: IVAN KRISTIANTO SINGGIH
Date Deposited: 12 Jan 2026 08:20
Last Modified: 12 Jan 2026 08:20
URI: http://repository.ubaya.ac.id/id/eprint/50041

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