Date of Award
2025
Document Type
Thesis
Degree Name
Master of Science in Engineering (MSE)
Department
Electrical and Computer Engineering
Committee Chair
Rahul Bhadani
Committee Member
Jonathan Blakely
Committee Member
Aubrey N. Beal
Research Advisor
Rahul Bhadani
Subject(s)
Intelligent transportation systems, Real-time control, Traffic flow--Mathematical models
Abstract
The Intelligent Driver Model (IDM) is a car-following model that has existed since the early 2000s, existing as one of the most widely used follow-the-leader models to simulate safe and realistic driver behavior. In this work, the IDM is used to evaluate the suitability of ROS 2-Gazebo for vehicle simulation, showing that significant non-determinism is present within the simulation. Additionally, we evaluate the effects of delay and an inserted Followerstopper car following model on the traffic dynamics of the system. Specifically, the generation of stop-and-go waves in idealized traffic from a dynamical systems perspective is examined. We also show that the Followerstopper model is effective at eliminating emergent stop-and-go waves in the IDM traffic simulation.
Recommended Citation
McClain, Trevor, "An evaluation of the IDM car-following model : simulation and a dynamical systems perspective" (2025). Theses. 794.
https://louis.uah.edu/uah-theses/794