Using Design Structure Matrices to Improve Decentralized Urban Transportation Systems

Abstract

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.