Niru Tiwari

Date of Award

12-2006

Degree Name

Master of Science

Department

Civil and Construction Engineering

First Advisor

Dr. Jun-Seok Oh

Second Advisor

Dr. Azim Houshyar

Third Advisor

Dr. Osama Abudayyeh

Access Setting

Masters Thesis-Open Access

Abstract

Transportation facility has emerged as one of the main indicators of a national's prosperity at the advent of 21st century and is the backbone of American commerce and industry. There are over 600 million motor vehicles that are driven in the world today and the number of cars in use is expected to be doubled in next 30 years. As the number increases, more parking spaces should also be provided; however, it is difficult to supply sufficient parking space due to space limitations. To meet the need, new types of parking and new parking technologies have been introduced. However, traditional methods tend to simply rely on only parking demand and supply. Therefore, there is a need for developing more comprehensive parking evaluation tools. This research proposes to use a simulation model mimicking complex vehicle movements and various parking types. The model also incorporates drivers' parking searching behavior in order to compare the performance from users' point of view. The visualization capability also ensures the quality of the simulation model. This study compares performances between an automated parking and a traditional self parking. Through the simulation experiments, this study demonstrates usefulness and effectiveness of the simulation-based evaluation approach in analyzing parking structures.

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