… ) focus on training a single AV on an empty highway or with a few HVs surrounded (corresponding
to 1 AV + m HVs), while this paper reviews a broader literature in mixed autonomy. …

… time between vehicles can be short-lived, eg, two vehicles that meet in an intersection. Second,
the driving … follow a stationary policy and change their policies in real-time according to …

… impacts of CAVs in the era of mixed autonomy on both positive and negative … autonomous
vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy …

… In upcoming years, the introduction of autonomous vehicles (AVs) … autonomous transport
system, however, will take place over many years and lead to a long period with a mixed driving …

… does not conform to the conventional laws of vehicle driving, making subsequent decisions
… , lane-changing decision and trajectory planning are carried out at the same time. As an AV, …

… the learning of driving policies for autonomous vehicles operating … uses real-world online
policy adaptation in a mixed reality … the effectiveness of mixed reality training at test time. This is …

… at the same time. The software is especially popular for testing autonomous driving algorithms.
… The DMS consists of two components: a general policy applicable to various intersection …

… We model a mixed traffic flow as a discrete-time Markov Decision Process (MDP), defined
as 〈N, S, A,ρ0, P, R〉, where N is the model’s capacity of the number of agents (CAVs), S is …

… that autonomous vehicles (AVs) will dominate our roads in the very near future as the global
autonomous vehicle … In an effort to reduce the collision risk of the CS policy, constant time …

… time headway, are analyzed accounting for various levels of aggressiveness in autonomous
driving. … % increments) to illustrate how autonomous driving behavior can affect the mobility …