Frequency scheme to improve theoperation of the Megabús integratedmass transport system in Pereira,Colombia

The growing demand for urban mass transport systems has consolidated Bus Rapid Transit (BRT) systems a cost-effective solution in emerging economies. However, these systems may face oper?ational challenges by high passenger demand or bus interactions at stations, impacting operation’s performance. To address this, our research team developed a microsimulation model based on cellular automata that integrates passenger data. Implemented in C++ and executed from Python, this model considerably reduces computational resources consumption compared to traffic simu?lators, where longer simulation times are observed. Since route frequency has a crucial impact on the operation of BRT systems, the objective of the research is to evaluate the performance of a real-word BRT system according to different route frequency schemes, the model is applied to the Megabús BRT system in Pereira, Colombia. This document is structured around three research articles, each contributing to the fulfillment of our main objective.

Publication Details

Journal
Intellectum (Universidad de La Sabana)
Published
2025-04-13
Primary Topic
Transportation Planning and Optimization
Type
article
Field-Weighted Citation Impact
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article

Frequency scheme to improve theoperation of the Megabús integratedmass transport system in Pereira,Colombia

Intellectum (Universidad de La Sabana)
Transportation Planning and Optimization
article

Frequency scheme to improve theoperation of the Megabús integratedmass transport system in Pereira,Colombia

article en

Abstract

The growing demand for urban mass transport systems has consolidated Bus Rapid Transit (BRT) systems a cost-effective solution in emerging economies. However, these systems may face oper?ational challenges by high passenger demand or bus interactions at stations, impacting operation’s performance. To address this, our research team developed a microsimulation model based on cellular automata that integrates passenger data. Implemented in C++ and executed from Python, this model considerably reduces computational resources consumption compared to traffic simu?lators, where longer simulation times are observed. Since route frequency has a crucial impact on the operation of BRT systems, the objective of the research is to evaluate the performance of a real-word BRT system according to different route frequency schemes, the model is applied to the Megabús BRT system in Pereira, Colombia. This document is structured around three research articles, each contributing to the fulfillment of our main objective.

Intellectum (Universidad de La Sabana)
Openalex Percentile: Top 36%
Transportation Planning and Optimization
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