Modelling autonomous vehicle interactions with bicycles in traffic simulation

With the undeniable advance of automated vehicles and their gradual integration in day-today urban traffic, many new technologies have been developed that offer great potential for this emerging field research. However, testing vehicle real road traffic with vulnerable users (VRUs) is still a complicated time consuming procedure. The virtual development evaluation using simulation tools offers good opportunity to test functions efficiently. existing models prove be insufficient modeling interaction between autonomous such as bicyclists pedestrians. In paper, an model microscopic open-source software Simulation Urban Mobility (SUMO) evaluated common scenarios bicyclists. A controller proposed different path-finding algorithms from robotic research, which covers all important control levels self-driving vehicle. Finally, its performance compared car-following lane-changing models. Results showcase achieves either comparable results or has much steadier more realistic driving behavior when while interacting whole source code over course work freely accessible at: https://github.com/FlixFix/Kimarite.