Semester of Graduation

Spring 2020

Degree

Master of Computer and Information Science (MCIS)

Department

Computer Science

Document Type

Thesis

Abstract

We conducted this study to investigate causal factors which affects the route-choice behavior of drivers. Due to the insufficiency of measured variables and the lack of high-fidelity properties obtained by conventional data, we carried out Stated Choice Experiment (SCE) using Immersive Virtual Environments (IVE) tool to collect data. IVE tool can provide realistic virtual experiences to participants, and give advantage of flexible environment for exploring causal factors of drivers’ decision on route choice. Based on reviewing literatures, we believe that there is limited studies that has tried to comprehend the route choice behavior of drivers using causal inference. The study extends the information on various factors influencing drivers’ route choice decision applying casual inference and helps identify more significant casual factors that influence route choice behavior of drivers.

Committee Chair

Mukhopadhyay, Supratik

DOI

10.31390/gradschool_theses.5132

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