System of Systems Meta-Architecture Approach to Improve Legacy Metrorails for Enhanced Customer Experience
Abstract
As technology surges forward, some Metrorail networks have become outdated customer-facing systems in need of updates. To help enhance overall traveler experience, the following Key Performance Attributes (KPAs) need improvement: predictability, accessibility, reliability, affordability, and scalability. By maximizing these KPAs, a legacy Metrorail system could see increased ridership, thus potentially increasing overall revenue generated by the system. In order to assess the overall fitness measure of the System of Systems (SoS), a Fuzzy Inference System (FIS) developed along with a set of feasible, participating systems and KPA-defining equations. A simple Genetic Algorithm (GA) was used to find the optimized meta-architecture. Using the methodologies described in this paper, an optimized SoS meta-architecture for improving a legacy Metrorail system was generated and assessed.
Recommended Citation
M. Polley and C. H. Dagli, "System of Systems Meta-Architecture Approach to Improve Legacy Metrorails for Enhanced Customer Experience," 2021 16th International System of Systems Engineering Conference, SoSE 2021, pp. 191 - 196, article no. 9497492, Institute of Electrical and Electronics Engineers (IEEE), Jun 2021.
The definitive version is available at https://doi.org/10.1109/SOSE52739.2021.9497492
Meeting Name
16th International Conference of System of Systems Engineering, SoSE (2021: Jun. 14-18, Online from Västerås, Sweden)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Fuzzy Inference System; Meta-Architecture Generation; Metrorail; System Of Systems
International Standard Book Number (ISBN)
978-166544454-5
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2021 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
18 Jun 2021
