Stochastic Models Project

Metro Bogotá

A Shiny dashboard that models station occupancy, train lifecycle states, and wagon-dispatch decisions using Markov chains and stochastic dynamic programming.

View on GitHub

What it does

Fase 1: Continuous-time Markov chain occupancy analysis for three stations.
Fase 2: Discrete-time Markov chain lifecycle/cost analysis from uploaded .xlsx data.
Fase 3: Stochastic dynamic programming policy for wagon dispatch with cost minimization.

Main dashboard view

Detailed phase analysis

Interactive visualizations

Model results and metrics

Tech stack

R Shiny shinydashboard plotly markovchain readxl Docker

Getting started

Docker

docker build -t metro-r-image .
docker run --rm -p 3838:3838 metro-r-image

Local R execution

cd src
R -f app.R

Project structure

src/
  app.R
  Fase_1.R
  Fase_2.R
  Fase_3.R
  www/image.jpeg
assets/
  MetroCapitalino.xlsx
Dockerfile
LICENSE

License

MIT License.