Modern traffic signal controllers usually must adapt to local transportation agency requirements. The standardization of controller hardware under advanced transportation controller standards provided flexibility and allowed customized development of controller software. This process resulted in a multitude of market controller software features that are a challenge to evaluate. A decision-support system based on a multi-criteria decision-making technique for the evaluation of traffic signal controllers is presented. The method for evaluating the controllers was based on the set of critical functional requirements for signalized intersections. The method was developed for a signal system at the Virginia Department of Transportation. The critical functional requirements were developed through discussion with professionals in the field of signal system operations across North America. Criteria for scoring the controller features were developed from the information obtained from the controller manuals, vendors, software-in-the-loop and hardware-in-the-loop testing, survey of agencies, and so forth. An evaluation of three controllers within the proposed framework is presented, along with decision-support visualization aids. Alternate methods are suggested for evaluation purposes and give opportunities for further research.
Effective education in the field of traffic operations and control requires efficient delivery of theory, applications, and live demonstration or tutorials to help students understand the subject. While practical engineering knowledge is usually imparted through carefully designed experiments conducted in laboratories, traffic operations require repetitive observation of traffic behavior (or simulated traffic) under different control actions. This paper describes a web game developed on a .NET framework to complement a Traffic Engineering course. The game is assessed for its impact on student engagement using survey questions based on the Situational Motivational Scale (SIMS).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.