Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems

Management of large, complex, urban transportation systems involves numerous stakeholders due to the decentralized ownership and operation of distinct pieces of the physical network and services. In order to deliver better service to users, many urban regions are adopting technological and operation...

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Main Authors: Dunn, Travis P., Sussman, Joseph M.
Format: Working Paper
Language:en_US
Published: Massachusetts Institute of Technology. Engineering Systems Division 2016
Online Access:http://hdl.handle.net/1721.1/102775
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author Dunn, Travis P.
Sussman, Joseph M.
author_facet Dunn, Travis P.
Sussman, Joseph M.
author_sort Dunn, Travis P.
collection MIT
description Management of large, complex, urban transportation systems involves numerous stakeholders due to the decentralized ownership and operation of distinct pieces of the physical network and services. In order to deliver better service to users, many urban regions are adopting technological and operational solutions, both of which necessitate interaction among the decentralized organizations. This research applies systems engineering analysis techniques—the design structure matrix (DSM) and clustering—in order to improve the efficiency and effectiveness of organizational interactions between agencies as they deploy Intelligent Transportation Systems (ITS) and attempt to integrate their operations. Specifically, we examine the application of clustering to the institutional structure set forth by the Regional ITS Architecture for metropolitan Seattle.
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spelling mit-1721.1/1027752019-04-12T16:24:18Z Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems Dunn, Travis P. Sussman, Joseph M. Management of large, complex, urban transportation systems involves numerous stakeholders due to the decentralized ownership and operation of distinct pieces of the physical network and services. In order to deliver better service to users, many urban regions are adopting technological and operational solutions, both of which necessitate interaction among the decentralized organizations. This research applies systems engineering analysis techniques—the design structure matrix (DSM) and clustering—in order to improve the efficiency and effectiveness of organizational interactions between agencies as they deploy Intelligent Transportation Systems (ITS) and attempt to integrate their operations. Specifically, we examine the application of clustering to the institutional structure set forth by the Regional ITS Architecture for metropolitan Seattle. 2016-06-01T16:47:15Z 2016-06-01T16:47:15Z 2005-08 Working Paper http://hdl.handle.net/1721.1/102775 en_US ESD Working Papers;ESD-WP-2005-08 application/pdf Massachusetts Institute of Technology. Engineering Systems Division
spellingShingle Dunn, Travis P.
Sussman, Joseph M.
Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems
title Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems
title_full Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems
title_fullStr Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems
title_full_unstemmed Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems
title_short Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems
title_sort using design structure matrices to improve decentralized urban transportation systems
url http://hdl.handle.net/1721.1/102775
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