See discussions, stats, and author profiles for this publication at: https://www.researchgate.net/publication/315383192 Analyzing Congestion Dynamics in Mass Rapid Transit using Agent-Based Modeling Conference Paper · March 2017 CITATIONS READS 0 113 5 authors, including: Briane Paul Vea Samson Future University Hakodate 7 PUBLICATIONS 1 CITATION SEE PROFILE Some of the authors of this publication are also working on these related projects: Building Common Sense Knowledge for Creative Computing Applications View project Decision Support System for Public Transportation Planning View project All content following this page was uploaded by Briane Paul Vea Samson on 20 March 2017. The user has requested enhancement of the downloaded file. Analyzing Congestion Dynamics in Mass Rapid Transit using Agent-Based Modeling Briane Paul V. Samson, Cymon Nicollo P. Marcaida, Eloisa Anne B. Gervasio, Ravi D. Militar, and Jerome Ibanez Center for Complexity and Emerging Technologies, De La Salle University, Manila, Philippines fbriane.samson,cymon marcaida,eloisa gervasio,ravi militar,jerome
[email protected] ABSTRACT the city [5]. One of the more popular alternative modes of public Despite being designed to accommodate only 300,000 passengers, transportation is the Metro Rail Transit or MRT3, one of Manila’s Manila’s Metro Rail Transit or MRT3 is currently serving more rail systems. e said line runs for 16.8 km, adjacent to the Epi- than 500,000 passengers daily. is over-utilization has resulted fanio de los Santos Avenue or EDSA, and passes through the city’s into worn down coaches and facilities, and most importantly, pas- major leisure and business areas.