Simulation-based development and testing of traffic guidance algorithms

Diminishing costs and increased availability of connectivity enable road infrastructure like traffic lights and speed limits to respond to traffic in real-time. Smart traffic guidance poses enormous potential for increased efficiency and safety as well as reduced emissions and frustration in road traffic.

This thesis aims at exploring this potential within the safety of a virtual testbed. The virtual testbed offers a 3d simulation environment with an interface to traffic simulation software SUMO and the ability to simulate a variety of sensors, such as cameras, LIDAR or Radar. Furthermore simulated vehicles and infrastructure components can communicate via real protocols like MQTT and OPCUA.