Honors Thesis

open_access
Open Access
Author:
Shah, Karan Durgesh
Area of Honors:
Mechanical Engineering
Degree:
Bachelor of Science
Document Type:
Thesis
Thesis Supervisors:
Dr. Sean N Brennan, Thesis Supervisor
Dr. Jacqueline Antonia O'Connor, Thesis Honors Advisor
Keywords:
co-simulation
AIMSUN
simulator
multiscale simulation
Abstract:
The primary way to test safety-critical driver vehicle systems is via driving simulators and this is particularly true for multi-vehicle Connected and Autonomous Vehicle (CAV) systems. Currently, it is difficult to implement a virtual reality environment to incorporate virtual traffic that can accurately identify and respond to a human-controlled virtual car. Moreover, the update time of the virtual traffic and human controlled car is often different between typical traffic-simulation software versus the software used to display driver situations within simulators, making it difficult to study the simulations simultaneously. To address these issues, this project enables two simulators based on two different software to interact with each other. The goal is to develop an algorithm to create a bridge between a virtual car simulator and a traffic simulator developed in AIMSUN such that both the simulators can interact with each other in a time-synchronized manner. Each simulator will be able to “see” the other simulator and “react” based on the input it receives. The goal of this thesis is to develop algorithms that will allow a simultaneous and smooth co simulation of these two simulators as described above. The thesis will focus on developing these algorithms, comparing them and analyzing their accuracy. This interaction will enhance the working of the simulators and provide a new dimension to virtual reality simulators.