A Simulation-Based Optimization Framework for Urban Transportation Problems
This paper proposes a simulation-based optimization (SO) method that enables the efficient use of complex stochastic urban traffic simulators to address various transportation problems. It presents a metamodel that integrates information from a simulator with an analytical queueing network model. Th...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Institute for Operations Research and the Management Sciences (INFORMS)
2014
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| Online Access: | http://hdl.handle.net/1721.1/89831 https://orcid.org/0000-0003-0979-6052 |