A Community-Based Approach for Hub Placements
Name
Chavalithumrong-chaval-SM-AeroAstro-2024-thesis.pdf
Description
Thesis PDF
Size
6.93 MB
Format
Adobe PDF
Checksum (MD5)
202390b9252d7df5d379fabe7c0ce6a4
Author(s)
Chavalithumrong, Alissa
Advisor(s)
Balakrishnan, Hamsa
Date Issued
May 2024
Publisher
Massachusetts Institute of Technology
Abstract
Advanced Air Mobility (AAM) is a rapidly emerging sector in the aerospace industry that seeks to revolutionize transportation by integrating highly automated aircraft into the airspace. As AAM technology matures, establishing a network framework and strategic hub locations becomes crucial for transitioning from theoretical models to practical applications in transportation systems. This thesis investigates community-based strategies for hub placement within the AAM infrastructure. More specifically, it utilizes network segmentation to decompose a network into communities to simplify the hub selection process into more manageable sub-problems. Our first contribution is the development of a specialized community detection methodology called Directed Flow Communities (DFC), which is designed to accommodate the attributes of transportation networks. Next, we conduct a case study using the Freight Analysis Framework (FAF) dataset as a proxy for AAM demand. The empirical investigation focuses on three key sectors: pharmaceuticals, electronics, and comprehensive freight flows, each presenting distinct challenges and insights into the network’s structure. The findings show the effectiveness of the community detection-based methods in unveiling cost-efficient hub locations.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
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Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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