Performance Gains in V2X Experiments Using Distributed Simulation in the Veins Framework The increasing precision in simulation models leads to a high computational effort. In general, parallel and distributed simulation is one technique to speed up a simulation to an acceptable runtime. Depending on the simulation model, the suitability of a parallel or distributed simulation varies. This applies also to coupled V2X simulations, where distributed computation may help to increase performance drastically. In this work, we identify opportunities and possibilities regarding distributed V2X simulations. Therefore, we describe and evaluate an approach to distribute multiple instances of the wellknown Veins framework that are interacting and running concurrently. The instances are coupled using a hybrid cosimulation framework based on the High Level Architecture. With increasing traffic load, a higher speedup can be measured.

Laboratory Emulator Using Connected Scaled Cars to Study Traffic Waves Traffic density has become one of the substantial problems in urban areas. Saturated roads increase the likelihood of vehicular collisions, mostly since the distance between the cars is decreased significantly. The emerging technology of communication between cars is suggested as an enabling technology to optimize traffic flow control. One solution to improve traffic flow on dense roads is to share kinematic properties among near cars. This could enable drivers or an automated system to get better decisions with respect to following the preceding cars. Control algorithms for cars driving in heavy traffic that considers the velocities, acceleration and spacing of the neighboring vehicles ahead, could eliminate traffic waves and reduce tail to head collisions. The purpose of this work is to design and construct a lab testbed based on scaled electric cars, which are remotely controlled by a PC, and to implement driving algorithms for these cars assuming the kinematic properties of the adjacent cars are known.