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Development of learning tools is critical for improving engineering education and teaching difficult engineering concepts. Representations are learning tools that can help students understand conceptual systems by providing insight to a concept, problem, or system through explicit cues. Researchers at the University of Idaho have developed structured activities involving animations that are representations of traffic simulations designed as part of the Mobile Signal Timing Training (MOST) project for teaching traffic signal timing. In this study, the effectiveness of the MOST animations were evaluated through a pre-/postcomparative case study. Overall, the MOST animations were successful in improving student understanding of timing parameters involved in actuated control at signalized intersections. The MOST activities were more effective than comparison methods in facilitating student learning for concepts of minimum green time, maximum green time, and duration of the green indication. Students also showed an improved understanding of the relationship between cycle length and delay and passage time, but not more so than comparison students. Results indicate that animations are effective in improving student understanding of concepts involving dynamic processes or reactions. [ABSTRACT FROM AUTHOR]

Deals with the use of peak hour warrant graphs for intersection traffic control selection in the United States. Overview of the 1994 Highway Capacity Manual; Intersection characteristics; Calculation of intersection level-of-service and delay; Suggestions for improved study.

The current generation of macroscopic and microscopic simulation packages do not have control algorithms that incorporate many of the advanced features now available in commercial traffic control hardware. Consequently, there is a need to develop cost effective procedures for evaluating state of the practice traffic signal control equipment so that informed deployment and design decisions can be made. These same procedures can also be used by researchers to develop new algorithms for applications such as transit priority or adaptive control. In order to achieve that objective, this paper presents the motivation for using hardware-in-the-loop simulation procedures. Hardware-in-the-loop simulation presents a new set of challenges for traffic engineering model developers as the “correctness” of a real-time model not only depends upon the numerical computation, but the timeliness with which the simulation model interacts with external control equipment. This paper reviews the state of practice, summarizes the fundamental technologies necessary for implementing such a system, and uses a simple statistical test for assessing the real-time errors introduced into a simulation model. [Copyright &y& Elsevier]