Skip to content

Latest commit

 

History

History
51 lines (38 loc) · 1.59 KB

README.md

File metadata and controls

51 lines (38 loc) · 1.59 KB
Raw

SNCF disruptions visualization

This personal project aims to visualize disruptions on french railway network, using open data provided by SNCF. Technology used are Typescript and ElasticSearch.

Setup

The project requires node version > 10.0 and a running Elasticsearch instance.

npm install
npm install -g typescript

Compile the project :

tsc

Set your env.json file using env.example.json template. And setup your elasticsearch cluster with :

node dist/src/setup.js

Then run to import disruptions from the day set in env.json :

node dist/src/import.js

Visualizations

Visualizations were made using Kibana 7.0. My visualizations can be imported in Management > Saved Objects > Import using the file visualization/export.json.

Here is a quick overview of what is possible :

Delay in minutes per station
Heatmap of delays in minutes Number of disruptions in time

Todo

  • Loop through SNCF disruptions.
  • Create ElasticSearch mapping.
  • Insert disruptions in ElasticSearch.
  • Create environment file.
  • Visualize in Kibana.
  • Fix bug with delay overlapping two days and undefined base_departure_time.
  • List all trains running
  • Visualize figures relative to train frequency to better grasp which lines have highest disruption rates.
  • Generate dataset of trains labeled by if there was a disruption or not.
  • Build logistic regression model to get disruptions contributing factors and predict disruptions.