Leveraging IoT Data Stream for Near-Real-Time Calibration of City-Scale Microscopic Traffic Simulation

<p>This repository includes input and output data of the methodology presented in the <a href="https://arxiv.org/abs/2210.17315">paper</a> for generating a calibrated dynamic microscopic traffic simulation.</p> <ul> <li>The input data includes the network, initial normalized origin-destination matrix, and hourly traffic counts from stationary city sensors.</li> <li>The output is a 24-hour calibrated microscopic traffic simulation for the city of Tartu, Estonia.</li> </ul> <p>All source codes are available at <a href="https://github.com/Khoshkhah/NRTCalib">https://github.com/Khoshkhah/NRTCalib</a>.<br> &nbsp;</p>