Скачать или смотреть Automate Traffic Simulation Models with Python by Thenuwan Jayasinghe at PyCon Sri Lanka 2023

Modeling urban transport networks helps to better evaluate the performance of the network and propose suitable traffic control measures. Developing accurate transport models requires a large amount of time as
i) it requires multiple data inputs in the model creation process, ii) proper calibration of model parameters to match the ground truth. This session discuss how Python programming language can be used to automate i) model creation, ii) model calibration (using stochastic approximation algorithms), iii) scenario development, so that the time required for model development can be minimized while maintaining a higher level of accuracy in the model. Real world applications with SUMO microscopic simulator and
PTV Visum macroscopic simulator will be discussed in this session.

Speaker: Thenuwan Jayasinghe
Speaker Bio:
Thenuwan earned his Master’s in Transportation Systems from Technical University of Munich and his BSc (Hons) from University of Moratuwa. His master’s thesis was a part of the TUMCREATE global research initiative, where he was a member of the research team at Singapore. He is a DASCA™ certified Senior Big Data Analyst SBDA™ and has over 5 years of experience in academic research focusing on traffic simulation development, and automation of large-scale public transport model calibration, evaluate bus priority measures.