High-resolution traffic simulators require a large number of hardware resources, which are not accessible to everyone. Cloud computing is a possible solution to the democratization research by enabling access to high-performance resources. Within this thesis, a reference architecture for cloud-based traffic simulation is introduced and evaluated. An agent-based traffic simulation (CityMoS) is used as a use-case. The capabilities of cloud computing are demonstrated, while the challenges in data extraction and search-space exploration are presented and addressed.
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High-resolution traffic simulators require a large number of hardware resources, which are not accessible to everyone. Cloud computing is a possible solution to the democratization research by enabling access to high-performance resources. Within this thesis, a reference architecture for cloud-based traffic simulation is introduced and evaluated. An agent-based traffic simulation (CityMoS) is used as a use-case. The capabilities of cloud computing are demonstrated, while the challenges in data e...
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