… autonomous vehicle technologies, the number of collisions and driver interventions of
autonomous vehicles … Kojima, ‘‘Humanlike behavior generation for intelligent vehicles in urban …

… behavior for these is infeasible. The topic of this paper is tactical decision making, which
considers high level decisions that adapts the behavior of the vehicle … and autonomous vehicles. …

… , and it is mainly used to solve sequential decision-making problems and enable autonomous
vehicles to learn a large number of behavioral skills with minimal human intervention. …

… vehicle’s dynamic behavior and driving environments. In addition, some of the more recent
“AV-ready (autonomous vehicles … is typically for transport planning analysis techniques [7]. …

… This study aims to enrich autonomous vehicle (AV) adoption research and practice by being
… , and car manufacturers do not have a precise plan for the public launch of AV technology. …

… motion planning algorithm for automated vehicle participating … A complete review of other
trajectory planning algorithm can … planning and control method for autonomous racing vehicles. …

… vehicles and ensure safety by modifying their behaviors before risks arise. To realize the
human-like motion planning, a prediction-based autonomous vehicle … driver’s future behavior is …

… A localization method for autonomous vehicles based on a particle filter-supported 2D occu…
trajectory is generated without disturbing the lateral behavior of the vehicle. In the case of the …

… rationality and behavioral heterogeneity of agents (people, vehicles) [8] into account. So
large-scale of agents need to be built up in the simulation system of autonomous vehicles. With …

… reinforcement learning for benchmarking the behavior of collision avoidance mechanisms …
of motion planning and collision avoidance mechanisms in autonomous vehicles. We have es…