Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Application of Particle Swarm Optimization method to On-going Monitoring
  for estimating vehicle-bridge interaction system   This study proposes a method for estimating the mechanical parameters of
vehicles and bridges and the road unevenness, using only vehicle vibration and
position data. In the proposed method, vehicle input and bridge vibration are
estimated using randomly assumed vehicle and bridge parameters. Then, the road
profiles at the front and rear wheels can be determined from the vehicle input
and bridge vibration. The difference between the two road profiles is used as
the objective function because they are expected to coincide when synchronized.
Using the particle swarm optimization (PSO) method, the vehicle and bridge
parameters and the road unevenness can be estimated by updating the parameters
to minimize the objective function. Numerical experiments also verify the
applicability of this method. In the numerical experiments, it is confirmed
that the proposed method can estimate the vehicle weight with reasonable
accuracy, but the accuracy of other parameters is not sufficient. It is
necessary to improve the accuracy of the proposed method in the future.

37
The categories of this paper are: supr-con
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci
2
The categories of this paper are: math
22
The categories of this paper are: chao-dyn
3
The categories of this paper are: physics
6
The categories of this paper are: astro-ph
13
The categories of this paper are: quant-ph