… acceleration while maintaining the subject vehicle within the safe driving envelope. We
show the effectiveness of the proposed algorithm via Vehicle Traffic Simulator tests in real time, …

… (83, 84), using a simple traffic simulator to train a single AV to stabilize mixed traffic. However,
the studies using more high-fidelity driving simulator data to investigate string-stable mMP …

… motion planning approach based on discrete optimization method. Well-coupled longitudinal
and lateral planning … autonomous driving, hence the path tracking control is simplified, we …

… dynamics, the most popular choice is TORCS (The Open Racing Car Simulator), which is
a modern, modular, highly portable multi-player, multi-agent car simulator. Its high degree of …

… vehicles are at the core of technological research now-a-days and many attempts have
focused on motion planning … Merging scenarios are simulated where the ego-vehicle has …

… traffic simulator SUMO with our software framework CommonRoad to test motion planning
of automated vehicles. … vehicles, we present an interface for exchanging the trajectories of …

… -the-art motion planning methods for IVs, including pipeline planning and end-to-end planning
… This work adopts 5 typical simulated traffic scenarios, which are still far from emulating the …

… vehicles, the motion planning model should be able to learn from the environment. As
training samples in real traffic … provided by the simulator to obtain the motion parameters and …

… The test vehicle, a modified Smart Car equipped with several sensors was kinematically …
data for the motion planning strategy which was verified in a dynamic urban scenario simulation. …

… benchmark scenarios, either constructed from real traffic or by running the traffic simulator
SUMO [3], [4] … To effortlessly benchmark different MDPs of RL problems for motion planning in …