  Transportation system is facing a sharp disruption since the Connected
Autonomous Vehicles (CAVs) can free people from driving and provide good
driving experience with the aid of Vehicle-to-Vehicle (V2V) communications.
Although CAVs bring benefits in terms of driving safety, vehicle string
stability, and road traffic throughput, most existing work aims at improving
only one of these performance metrics. However, these metrics may be mutually
competitive, as they share the same communication and computing resource in a
road segment. From the perspective of joint optimizing driving safety, vehicle
string stability, and road traffic throughput, there is a big research gap to
be filled on the resource management for connected autonomous driving. In this
paper, we first explore the joint optimization on driving safety, vehicle
string stability, and road traffic throughput by leveraging on the consensus
Alternating Directions Method of Multipliers algorithm (ADMM). However, the
limited communication bandwidth and on-board processing capacity incur the
resource competition in CAVs. We next analyze the multiple tasks competition in
the contention based medium access to attain the upper bound delay of
V2V-related application offloading. An efficient sleeping multi-armed bandit
tree-based algorithm is proposed to address the resource assignment problem. A
series of simulation experiments are carried out to validate the performance of
the proposed algorithms.
