LOG-KaVaMeSim - LOG-Calibration and Validation of mesoscopic traffic simulation models

Project Details

Description

The goal of Christina Presingers PhD thesis is to use historical Floating Car Data (FCD) and vehicle-detection-loop data to optimise validation and calibration processes for mesoscopic traffic simulations focusing on urban and suburban areas.
Short titleLOG-KaVaMeSim
StatusFinished
Effective start/end date01.10.201831.03.2021

Funding agency

  • Dissertationsprogramm der Fachhochschule OÖ

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 9 - Industry, Innovation, and Infrastructure

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