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Microscopic traffic simulation tools enable the simulation of various traffic demands and their impacts. By implementing realistic traffic models, they are commonly used to analyze traffic engineering measures. Since microscopic traffic simulations focus more on the network than on individual small-scale scenarios, such frameworks are appropriate for efficiency studies. In this respect, SUMO allows only a limited investigation of efficiency measures at the vehicle level, as the underlying vehicle models, such as Krauss, Gipps, or IDM, do not regard vehicle dynamics constraints. To encounter this disadvantage, SUMO is enriched by the elements of the submicroscopic simulation tool ASM from dSPACE, including a highly detailed vehicle dynamics model for the ego vehicle. Combining the elements of microscopic and submicroscopic simulation in a co-simulation framework, the effectiveness assessment of efficiency measures can be broken down to vehicle level. Besides the efficiency aspect, the proposed co-simulation bridge also offers the possibility to simulate sensing technology in a 3D environment with AURELION, where SUMO provides realistic traffic situations.

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Title: SUMO in SPACE: Combining SUMO and dSPACE for Advanced Traffic Simulation

Presenters: Christopher Stang and Dennis Roeser

Authors: Christopher Stang and Dennis Roeser