Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Survey on Autonomous Vehicle Control in the Era of Mixed-Autonomy:
  From Physics-Based to AI-Guided Driving Policy Learning   This paper serves as an introduction and overview of the potentially useful
models and methodologies from artificial intelligence (AI) into the field of
transportation engineering for autonomous vehicle (AV) control in the era of
mixed autonomy. We will discuss state-of-the-art applications of AI-guided
methods, identify opportunities and obstacles, raise open questions, and help
suggest the building blocks and areas where AI could play a role in mixed
autonomy. We divide the stage of autonomous vehicle (AV) deployment into four
phases: the pure HVs, the HV-dominated, the AVdominated, and the pure AVs. This
paper is primarily focused on the latter three phases. It is the
first-of-its-kind survey paper to comprehensively review literature in both
transportation engineering and AI for mixed traffic modeling. Models used for
each phase are summarized, encompassing game theory, deep (reinforcement)
learning, and imitation learning. While reviewing the methodologies, we
primarily focus on the following research questions: (1) What scalable driving
policies are to control a large number of AVs in mixed traffic comprised of
human drivers and uncontrollable AVs? (2) How do we estimate human driver
behaviors? (3) How should the driving behavior of uncontrollable AVs be modeled
in the environment? (4) How are the interactions between human drivers and
autonomous vehicles characterized? Hopefully this paper will not only inspire
our transportation community to rethink the conventional models that are
developed in the data-shortage era, but also reach out to other disciplines, in
particular robotics and machine learning, to join forces towards creating a
safe and efficient mixed traffic ecosystem.

23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
30
The categories of this paper are: q-alg
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
13
The categories of this paper are: quant-ph
16
The categories of this paper are: stat
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
14
The categories of this paper are: math-ph
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph