This paper introduces empirical studies of visualizing Taiwan’s Intelligent Transportation Systems
(ITS) knowledge maps and assessing academic performance. Social network analysis is applied to visualize
ITS knowledge maps to quantify the strength of the connections between individuals or universities. The results
from the empirical study show that the development of ITS research is very promising worldwide. CiteSpace
and UCINET have proven to be useful tools for demonstrating ITS knowledge maps with clusters by fields,
institutions, and authors. Taiwan's ITS knowledge maps with clusters can be summarized to assess their
academic performance by using AHP analysis. The ranking indicators and corresponding knowledge maps
provide an overview of current performance status of ITS researchers in different ITS fields in Taiwan. This
can eventually identify the most important ITS fields in local areas and contribute to highlighting hot topics of
ITS researchers in the future.
