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Information Technologies and Analytical Models for Strategic Design of Transportation Infrastructure
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Author(s): L. Douglas Smith (University of Missouri – St. Louis, USA), Robert M. Nauss (University of Missouri – St. Louis, USA), Liang Xu (University of Missouri – St. Louis, USA), Juan Zhang (University of Missouri – St. Louis, USA), Jan Fabian Ehmke (Freie Universität Berlin, Germany)and Laura Hellmann (Freie Universität Berlin, Germany)
Copyright: 2017
Pages: 22
Source title:
Strategic Information Systems and Technologies in Modern Organizations
Source Author(s)/Editor(s): Caroline Howard (HC Consulting, USA)and Kathleen Hargiss (Colorado Technical University, USA)
DOI: 10.4018/978-1-5225-1680-4.ch013
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Abstract
Statistical modeling, deterministic optimization, heuristic scheduling procedures, and computer simulation enable the strategic design of service systems while considering complex interdependencies in system operations. Performance on multiple dimensions may be investigated under alternative physical configurations and operating procedures while accommodating time-varying mixes of traffic and demands for service. This paper discusses how analytical tools and a conceptual framework developed for inland waterway transportation were extended and applied to the more complex operating environment of commercial airports. Networks of staged queues constitute the conceptual framework and discrete-event simulation provides the integrating modeling platform. Within the simulation model, statistical models represent time-varying behavior, traffic intensity is adjusted, resources are allocated to system users, traffic is controlled according to prevailing conditions, and decision rules are tested in pursuit of optimal performance.
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