Traffic Modeling with SUMO: a Tutorial

Autor: Guastella, Davide Andrea, Bontempi, Gianluca
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: This paper presents a step-by-step guide to generating and simulating a traffic scenario using the open-source simulation tool SUMO. It introduces the common pipeline used to generate a synthetic traffic model for SUMO, how to import existing traffic data into a model to achieve accuracy in traffic simulation (that is, producing a traffic model which dynamics is similar to the real one). It also describes how SUMO outputs information from simulation that can be used for data analysis purposes.
Databáze: arXiv