Traffic puts a high burden on the environment in means of emitted pollutants and consumed fuel. Different attempts exist for reducing these impacts, ranging from traffic management actions to in-vehicle ITS solutions. When equipped with a model for vehicular pollutant emissions, microscopic traffic simulations are assumed to be helpful in predicting the performance of such approaches. We report about the implementation of a second generation of pollutant emission models.
In the mobility sector, autonomous driving will become more and more part of our daily life. Most of all, in public transportation the research to exploit the new possibilities of autonomous driving has increased drastically. But the problem of the last mile is still unsolved, for example. The last mile is the problem to transport people from a transportation network (examples of endpoints are parking lots or bus station) to their final destination. A promising solution to this problem are autonomous RoboShuttles. Because of their low velocity, they can operate in the shared space where pedestrians and vehicles share the same traffic area. Therefore, in a shared space the interaction between them is greater than under normal traffic conditions, where the traffic flows are separated as much as possible. Through this higher interaction, new requirements on the autonomous vehicle arise. To explore the new requirements and to understand the interaction of a RoboShuttle in a shared space, a simulation scenario in SUMO is set up.
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