Abstract
Today's Advanced Driver Assistance Systems (ADASs) commonly require a description of a vehicle's surroundings. This description is gained by employing local perception sensors mounted to the vehicle in order to measure distances and velocities of objects in the vehicle's vicinity. Whereas today's vehicles solely depend on their on-board sensors, tomorrow's vehicles will additionally be equipped with heterogeneous communication technologies with the aim of realizing cooperation among road participants. What is more, combining local perception sensors and Inter-Vehicle Communication (IVC) (collective perception) allows vehicles to share their mutual sensor data—resulting in an even more complete representation of a vehicle's surrounding. Research in the area of heterogeneous cooperation between Intelligent Transport Systems (ITSs) raises the need for an holistic simulation framework capable of answering a diverse set of questions. This contribution provides several extensions to the publicly available microscopic simulation framework Artery which itself is based on Veins: local perception sensors and a Long Term Evolution (LTE) communication stack. To demonstrate Artery's capabilities, we set up several simulation scenarios with heterogeneous network nodes (vehicles) to reproduce local traffic phenomena on an Original Equipment Manufacturer's backend.
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