ModeLab - Web Tool for the Modeling of Bus Rapid Transit Systems




Bus Rapid Transit Systems, Modeling, Simulation, Web-based Technologies, Discrete Events, Complexity reduction


Bus rapid transit (BRT) systems have in recent years become a viable and effective option for solving the mobility problems in different cities around the world. For these systems to fulfill their mission effectively and efficiently, they need to respond adequately to the different situations that appear periodically or arbitrarily in the users’ routines, modification of system resources (e.g., buses, drivers, lanes, or roads), among others. Modeling and simulation in these and many other complex systems are key tools to support decision-making since, in general, they are an inexpensive option that allows to quickly evaluate the effect of different changes on the system and to define the best solution in the shortest time for a specific problem or situation. This paper introduces ModeLab, a web-based tool for modeling BRT systems that facilitates the design of models by using an iconic language closer to the modeler, a language based on the real-world objects found in this type of system and that allows us to define simpler and more compact models, which are easier to visualize, understand, and configure. To evaluate the models that ModeLab can define, a model of medium complexity was developed and compared with the model obtained by ARENA®; the results show a significant reduction in the complexity of the models, while, at the same time, there are identical results when simulating the models with SIMAN (a common simulation software for both tools).


Download data is not yet available.

Author Biographies

Carlos-Robinson Campo, Universidad del Cauca

Roles: research, data collection, methodology, formal analysis, original draft writing, writing revision and editing.

Juan-Pablo Salazar, Universidad del Cauca

Roles: research, data collection, methodology, formal analysis, original draft writing, writing revision and editing.

Carlos-Alberto Cobos-Lozada, Universidad del Cauca

Roles: conceptualization, formal analysis, research, validation, original draft writing, writing revision and editing.


H. Suzuki, C. Robert, K. Iuchi, Transforming Cities with Transit : Transit and Land-Use Integration for Sustainable Urban Development. The World Bank, 2013.

E. Suryani, R. A. Hendrawan, P. F. E. Adipraja, A. Wibisono, L. P. Dewi, “Urban mobility modeling to reduce traffic congestion in Surabaya: a system dynamics framework,” Journal of Modelling in Management, vol. 16, no. 1, pp. 37–69, 2021.

S. Luo, L. Kang, “A bimodal transit system for large cities: cost efficiency and environment friendliness,” Transportmetrica A: Transport Science, pp. 1-24, 2021.

J. Zulkepli, R. Khalid, M. K. M. Nawawi, M. H. Hamid, “Optimizing University shuttle buses to reduce students’ waiting time using a discrete event simulation technique,” International Journal of Supply Chain Management, vol. 7, no. 5, pp. 477–484, 2018.

A. Jagiełło, “The role of the Bus Rapid Transit in public transport,” Transportation Overview, vol. 2, pp. 1–9, 2017.

G.-L. Jia, R.-G. Ma, Z.-H. Hu, “Review of Urban Transportation Network Design Problems Based on CiteSpace,” Mathematical Problems in Engineering, vol. 2019, no. 1, pp. 1–22, 2019.

E. Ruano-Daza, C. Cobos, J. Torres-Jimenez, M. Mendoza, A. Paz, “A multiobjective bilevel approach based on global-best harmony search for defining optimal routes and frequencies for bus rapid transit systems,” Applied Soft Computing, vol. 67, pp. 567–583, 2018.

I. Grigoryev, AnyLogic 8 in Three Days: A Quick Course in Simulation Modeling, Fifth Ed. CreateSpace Independent Publishing Platform, 2021.

Rockwell Automation, “Arena simulation software,” 2020. .

H. Klee, Simulation of Dynamic Systems with MATLAB and Simulink. CRC Press, 2018.

M. D. Rossetti, Simulation Modeling and Arena, 2nd Editio. Wiley, 2015.

A. Haseeb, “General Analysis and Simulation of Surgical Instrument Sterile Processing Unit Using Arena,” in International Conference on Computing and Information Technology (ICCIT-1441), 2020, pp. 1-4.

A. C. Lisboa, F. H. B. De Souza, C. M. Ribeiro, C. A. Maia, R. R. Saldanha, F. L. B. Castro, D. A. G. Vieira, “On Modelling and Simulating Open Pit Mine through Stochastic Timed Petri Nets,” IEEE Access, vol. 7, pp. 112821–112835, 2019.




How to Cite

Campo, C.-R., Salazar, J.-P., & Cobos-Lozada, C.-A. (2021). ModeLab - Web Tool for the Modeling of Bus Rapid Transit Systems. Revista Facultad De Ingeniería, 30(56), e13294.