Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: NERO: Nested Rebalancing Optimization for Mobility on Demand   Mobility-on-Demand (MoD) services, such as taxi-like services, are promising
applications. Rebalancing the vehicle locations against customer requests is a
key challenge in the services because imbalance between the two worsens service
quality (e.g., longer waiting times). Previous work would be hard to apply to
large-scale MoD services because of the computational complexity. In this
study, we develop a scalable approach to optimize rebalancing policy in stages
from coarse regions to fine regions hierarchically. We prove that the
complexity of our method decreases exponentially with increasing number of
layers, while the error is bounded. We numerically confirmed that the method
reduces computational time by increasing layers with a little extra travel time
using a real-world taxi trip dataset.

29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
37
The categories of this paper are: supr-con
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
4
The categories of this paper are: cond-mat
20
The categories of this paper are: acc-phys
17
The categories of this paper are: q-fin
30
The categories of this paper are: q-alg
16
The categories of this paper are: stat
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
35
The categories of this paper are: mtrl-th
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
32
The categories of this paper are: atom-ph