Performance Analysis of Metropolitan Bus Rapid Transit Line via Generalized Stochastic Petri Nets

Performance Analysis of Metropolitan Bus Rapid Transit Line via Generalized Stochastic Petri Nets

AbstractThis paper addresses the problem of assessing quality measures of a public transportation line, including factors such as reliability, commercial speed, and ride comfort. Many mathematical models can simulate the behavior of a transportation system. However, these models might be overly expe...

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Bibliographic Details
Published in:Journal of urban planning and development Vol. 146; no. 1
Main Authors: Wanini Gonçalves de Araújo, Katarini, de Andrade, Maurício Oliveira, Lima, Ricardo Massa Ferreira, de Oliveira, César Augusto Lins
Format: Journal Article
Language:English
Published: New York American Society of Civil Engineers 01-03-2020
Subjects:
Buses (vehicles)
Case Studies
Case Study
Computer simulation
Light rail transportation
Mathematical analysis
Mathematical models
Passenger comfort
Petri nets
Public transportation
Quality assessment
Rapid transit systems
Reliability aspects
Stochasticity
Transportation systems
Urban development
Urban planning
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Summary:AbstractThis paper addresses the problem of assessing quality measures of a public transportation line, including factors such as reliability, commercial speed, and ride comfort. Many mathematical models can simulate the behavior of a transportation system. However, these models might be overly expensive and difficult to deal with. In an attempt to overcome these limitations, a generalized stochastic Petri net (GSPN) model was developed and applied to a bus rapid transit (BRT) line in Recife, Brazil. The model yielded an explanatory power greater than 95%, and the difference between data obtained from a field survey and the results generated by the simulation was statistically insignificant. Based on this, we verified that the model is a useful tool for testing potential modifications to a system by means of simulation because it allows different operational scenarios to be quickly assessed. Moreover, the GSPN model is simple and practical to modify and implement. Furthermore, the model does not require deep knowledge of mathematical theories, making it useful for specialists of different areas, such as modelers and transport authorities, to communicate and trade information.
ISSN:0733-9488
1943-5444
DOI:10.1061/(ASCE)UP.1943-5444.0000543