Enhancing Transportation Education Through On-Line Simulation Using an Agent-Based Demand and Assignment Model

Journal of Professional Issues in Engineering Education and Practice, 2007

24 Pages Posted: 5 Jan 2011 Last revised: 22 Jan 2011

See all articles by Shanjiang Zhu

Shanjiang Zhu

University of Minnesota - Twin Cities

Feng Xie

University of Minnesota - Twin Cities

David Matthew Levinson

affiliation not provided to SSRN

Date Written: January 21, 2007

Abstract

This research explores the effectiveness of using simulation as a tool for enhancing classroom learning in the Civil Engineering Department of the University of Minnesota at Twin Cities. The authors developed a modern transportation planning software package, Agent-based Demand and Assignment Model (ADAM), that is consistent with our present understanding of travel behavior, that is platform independent, and that is easy to learn and is thus usable by students. An in-class project incorporated ADAM and the performance of this education strategy was evaluated through pre-class survey, post-class survey, scores in the quiz focusing on travel demand modeling and final scores. Results showed that ADAM effectively enhanced students’ self-reported understanding of transportation planning and their skills of forming opinions, evaluating projects and making judgments. Students of some learning styles were found to benefit more than others through simulation-based teaching strategy. Findings in this research could have significant implications for future practice of simulation-based teaching strategy.

Keywords: Agent-based Model, Transportation Education, Simulation

JEL Classification: R40

Suggested Citation

Zhu, Shanjiang and Xie, Feng and Levinson, David Matthew, Enhancing Transportation Education Through On-Line Simulation Using an Agent-Based Demand and Assignment Model (January 21, 2007). Journal of Professional Issues in Engineering Education and Practice, 2007. Available at SSRN: https://ssrn.com/abstract=1734995

Shanjiang Zhu

University of Minnesota - Twin Cities ( email )

420 Delaware St. SE
Minneapolis, MN 55455
United States

Feng Xie

University of Minnesota - Twin Cities ( email )

420 Delaware St. SE
Minneapolis, MN 55455
United States

David Matthew Levinson (Contact Author)

affiliation not provided to SSRN

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
19
Abstract Views
575
PlumX Metrics