Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Comparative Traffic Performance Analysis of Urban Transportation Network
  Structures   The network structure of an urban transportation system has a significant
impact on its traffic performance. This study uses network indicators along
with several traffic performance measures including speed, trip length, travel
time, and traffic volume, to compare a selection of seven transportation
networks with a variety of structures and under different travel demand
conditions. The selected network structures are: modified linear, branch, grid,
3-directional grid, 1-ring web, 2-ring web, and radial. For the analysis, a
base origin-destination matrix is chosen, to which different growth factors are
applied in order to simulate various travel demand conditions. Results show
that overall the 2-ring web network offers the most efficient traffic
performance, followed by the grid and the 1-ring networks. A policy application
of this study is that the branch, 3-directional grid, and radial networks are
mostly suited for small cities with uncongested traffic conditions. In
contrast, the 2-ring web, grid, and 1-ring web networks are better choices for
large urban areas since they offer more connectivity, thus allowing them to
perform efficiently under congested traffic conditions.

37
The categories of this paper are: supr-con
32
The categories of this paper are: atom-ph
27
The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
31
The categories of this paper are: ao-sci
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
17
The categories of this paper are: q-fin
1
The categories of this paper are: cs
30
The categories of this paper are: q-alg
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc
24
The categories of this paper are: dg-ga
26
The categories of this paper are: bayes-an