Building a real-world traffic micro-simulation scenario from scratch with SUMO

Abstract

Simulation of Urban Mobility (SUMO) is a powerful traffic simulation program which can work at different scales, from sub-microscopic to macroscopic. Depending on the available input dataset, it is possible to build lots of different configurations, changing routing and car-follow algorithms, and many parameters. Building a basic SUMO scenario is a multi-step activity involving the followings: preparing the transportation network, traffic definition, setting a routing algorithm, and running the simulation. The aim of the present work is to show a detailed real case study explaining how to build a complete scenario and run simulations, starting from the preparation of the network from Open Street Map. The last part of the present paper is about how to use the SUMO output files with MongoDB in order to keep track of significant information resulting from each simulation.