Traffic forecasting with Virtual Induction Loops - SUMO simulation dataset

This repository is associated with my doctoral dissertation titled, "<strong>Smartphone based applications for Road Traffic Telematics</strong>". In particular this repository serves as the basis of Chapter 7 titled, "<strong>Traffic forecasting with Virtual Induction Loops (VIL)</strong>". The basic idea is to validate a traffic forecasting system which uses machine learning techniques on the simulation of real traffic flows on a real intersection in the City of Turin. This dataset contains simulation output from SUMO software for 56 real days between the months of October-2017 to April-2018. Details about these days are available in my thesis. For each day, 3 output files are available. Here is the description and naming convention: M1_100seed_100pr_dump.csv (This is the data dump file from SUMO. It contains flows of every single vehicle that was simulated. Naming convention is day_seed_vilPenetrationRate_dump.csv) M1_100seed_ilNorth_100pr.xml (This is the output from a simulated induction loop for Northbound traffic. Naming convention is day_seed_ilNorth_vilPenetrationRate.xml) M1_100seed_ilSouth_100pr.xml (This is the output from a simulated induction loop for Southbound traffic. Naming convention is day_seed_ilSouth_vilPenetrationRate.xml) For further details, please refer to my thesis.