Simulation as a Service for Cooperative Vehicles
Simulating connected vehicles in realistic environments is a computationally expensive task, particularly when large numbers of traffic participants are involved. To cope with exploding hardware requirements it can become indispensable to tackle such simulations in a divide and conquer manner. A pro...
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| Vydáno v: | 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C) s. 28 - 37 |
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| Hlavní autoři: | , , , |
| Médium: | Konferenční příspěvek |
| Jazyk: | angličtina |
| Vydáno: |
IEEE
01.09.2019
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| Témata: | |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Simulating connected vehicles in realistic environments is a computationally expensive task, particularly when large numbers of traffic participants are involved. To cope with exploding hardware requirements it can become indispensable to tackle such simulations in a divide and conquer manner. A promising approach breaking down a simulation scenario in a set of small tasks is the spatial subdivision of the simulated area. Thereby, each spatial sector is simulated by a dedicated sub-simulator enabling efficient distribution of the overall simulation across multiple machines. However, a distributable and easy-to-use simulation solution providing automated scalability and hiding the distribution complexity from the simulation engineer requires a service-based simulator architecture equipped with interfaces for simulation control, integration, and resource management. In this work, building upon previous results we propose a cloud-ready simulation infrastructure providing automotive engineers with the ability to analyze large scale connected traffic scenarios without caring about the execution environment. As a consequence, the proposed solution can be integrated seamlessly into existing continuous integration environments supporting agile research and development processes for cooperatively interacting vehicles. |
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| DOI: | 10.1109/MODELS-C.2019.00011 |