… motion planning based methods are often inspired by the robot motion planning algorithm, …
mentioned risk insensitive problem in lane change scenarios, risk assessment and DRL were …

… adapt to real-life road conditions [17]. Although, … lane change and car following [18], [19]. In
a connected vehicular environment, game theory is used to predict the lane change behavior […

… However, the strategical plan of the route and the utilization of the digital … analysis of the
lane change maneuver is conducted based on the critical driving conditions of the lane change …

… changes of vehicles in the target lane in the actual traffic environment, a dynamic planning
algorithm for the lane change … The maximum longitudinal length of lane change trajectory of …

… appropriately, plan its motion using the safest options, and move according to the plan based
on … Decision-making usually is part of the planning module of AVs and, more specifically, of …

… plan, overtake a slower vehicle, adapt to a merging lane … mandatory lane change situations
where explicit lane change … and how to make the lane change maneuver based on states of …

… Motion planning based methods are currently the most prevalent countermeasures to …
situation becomes more complex. In order to make the above-mentioned situation assessment …

… behavior of the possible conflict partner (other road users) in the simulation does not correspond
to reality, because other road users also plan … function in a situation decides differently …

… The use of mesoscopic models is typically for transport planning analysis techniques [7].
Among all the three categories of simulation modeling tools, since the micro-simulation …

… Evaluating and improving planning for autonomous vehicles requires scalable generation
… scenarios that cause a given planner to produce undesirable behavior, like collisions. To …