TY - GEN
T1 - Simulation of Express Service in a Public, Urban and Massive Transportation System of BRT Type (Bus Rapid Transit) in Lima, Peru
AU - Altamirano, Karen Chuquihuamani
AU - López, Eduardo Carbajal
N1 - Publisher Copyright:
© 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2021
Y1 - 2021
N2 - The present research work develops the application of discrete event simulation in a public, urban and massive transportation system of BRT type (Bus Rapid Transit) in Metropolitan Lima, Perú. The objective of the improvement proposal is reduce waiting times at the stations and improve the quality of service, through the implementation of more buses along the trunk route. It should be noted that the long queues at the main and transfer stations in "Corredor 1" are one of the main problems affecting the service, specifically in the morning rush hours. The methodology to be followed was to carry out a diagnosis of the current situation of the process, to then identify the tool to use, in this case the simulation of discrete events, which later led to the construction of an optimization model based on simulation to reduce the times and queue lengths at rush hour. Finally, the results obtained revealed that queues and system times were reduced by 74% and 33% respectively, as well as through the use of ratios such as NPV and IRR, it was determined that the proposal was viable.
AB - The present research work develops the application of discrete event simulation in a public, urban and massive transportation system of BRT type (Bus Rapid Transit) in Metropolitan Lima, Perú. The objective of the improvement proposal is reduce waiting times at the stations and improve the quality of service, through the implementation of more buses along the trunk route. It should be noted that the long queues at the main and transfer stations in "Corredor 1" are one of the main problems affecting the service, specifically in the morning rush hours. The methodology to be followed was to carry out a diagnosis of the current situation of the process, to then identify the tool to use, in this case the simulation of discrete events, which later led to the construction of an optimization model based on simulation to reduce the times and queue lengths at rush hour. Finally, the results obtained revealed that queues and system times were reduced by 74% and 33% respectively, as well as through the use of ratios such as NPV and IRR, it was determined that the proposal was viable.
KW - Discrete event simulation
KW - Logistics
KW - Optimization based on simulation
KW - Transportation
UR - http://www.scopus.com/inward/record.url?scp=85122019865&partnerID=8YFLogxK
U2 - 10.18687/LACCEI2021.1.1.62
DO - 10.18687/LACCEI2021.1.1.62
M3 - Conference contribution
AN - SCOPUS:85122019865
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Zapata Rivera, Luis Felipe
A2 - Aranzazu-Suescun, Catalina
PB - Latin American and Caribbean Consortium of Engineering Institutions
T2 - 19th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology: "Prospective and Trends in Technology and Skills for Sustainable Social Development" and "Leveraging Emerging Technologies to Construct the Future", LACCEI 2021
Y2 - 19 July 2021 through 23 July 2021
ER -
