TEAM 4: REST API from Traffic Modelling

TEAM LEADER: František Kolovský/University of West Bohemia

PROJECT IDEA: The goal of the project is developing REST API for the traffic modeling. The traffic modeling will be provided as a service via API. The backend of the API will be based on Python programing language using Flask framework. The final API should be ensured complete data, account and modelling management for transport modelling for a city area. The API will be used by Javascript frontend application.

The computing of the traffic will be ensured by using Apache Spark with JobServer (REST API for Apache). PostgreSQL with PostGIS extension will be used for data storage. OpenTransportMap is a suitable data source for creating road network for modelling.