Abstract
A critical aspect of connected vehicle safety analysis is understanding the impact of human behavior on the overall performance of the safety system. Given the variation in human driving behavior and the expectancy for high levels of performance, it is crucial for these systems to be flexible to various driving characteristics. However, design, testing, and evaluation of these active safety systems remain a challenging task, exacerbated by the lack of behavioral data and practical test platforms. Additionally, the need for the operation of these systems in critical and dangerous situations makes the burden of their evaluation very costly and time-consuming. As an alternative option, researchers attempt to use simulation platforms to study and evaluate their algorithms. In this work, we introduce a high fidelity simulation platform, designed for a hybrid transportation system involving both human-driven and automated vehicles. We decompose the human driving task and offer a modular approach in simulating a large-scale traffic scenario, making it feasible for extensive studying of automated and active safety systems. Furthermore, we propose a human-interpretable driver model represented as a closed-loop feedback controller. For this model, we analyze a large driving dataset to extract expressive parameters that would best describe different driving characteristics. Finally, we recreate a similarly dense traffic scenario within our simulator and conduct a thorough analysis of different human-specific and system-specific factors and study their effect on the performance and safety of the traffic network.
Notes
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Graduation Date
2018
Semester
Summer
Advisor
Pourmohammadi Fallah, Yaser
Degree
Master of Science (M.S.)
College
College of Engineering and Computer Science
Department
Computer Science
Degree Program
Computer Science
Format
application/pdf
Identifier
CFE0007573
URL
http://purl.fcla.edu/fcla/etd/CFE0007573
Language
English
Release Date
2-15-2020
Length of Campus-only Access
1 year
Access Status
Masters Thesis (Open Access)
STARS Citation
Jami, Ahura, "Analysis of Driver Behavior Modeling in Connected Vehicle Safety Systems Through High Fidelity Simulation" (2018). Electronic Theses and Dissertations. 6403.
https://stars.library.ucf.edu/etd/6403