In the “Introduction to Transportation Engineering” class, two of the most difficult topics for
students to learn are often queuing theory and signal operation and analysis. It is well documented
in that the current generation of students are largely ‘visual’ learners and that ‘active learning’
exercises are likely to be a more effective teaching method than the traditional lecture. This
learning paradigm for students lends itself well to the use of computer software, particularly traffic
simulation programs, to significantly enhance student education in transportation engineering.
Software programs can be valuable learning tools, if the program is designed with the focus
on education. With a well-designed signalized intersection simulation program that is focused on
education and considers pedagogical issues, student interaction with the program through activelearning exercises will allow them to easily visualize the relationship between the various inputs
and performance measures, which should lead to more efficient and effective student learning.
The result of this STRIDE project is a signalized intersection microscopic simulation
program that can lead to more efficient and effective learning of signalized intersection operation
and analysis than traditional commercial simulation programs.
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