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IRIS (Intelligent Roadway Information System) is an open-source Advanced Traffic Management System (ATMS) software project developed by the Minnesota Department of Transportation. It is used by transportation agencies to monitor and manage interstate and highway traffic. IRIS uses the GPL license.
Simulation of Urban MObility (Eclipse SUMO or simply SUMO) is an open source, portable, microscopic and continuous multi-modal traffic simulation package designed to handle large networks. SUMO is developed by the German Aerospace Center and community users.
UrbanSim is an open source urban simulation system designed by Paul Waddell of the University of California, Berkeley and developed with numerous collaborators to support metropolitan land use, transportation, and environmental planning. It has been distributed on the web since 1998, with regular revisions and updates, from www.urbansim.org.
The advanced traffic management system (ATMS) field is a primary subfield within the intelligent transportation system (ITS) domain, and is used in the United States. The ATMS view is a top-down management perspective that integrates technology primarily to improve the flow of vehicle traffic and improve safety.
Traffic simulation or the simulation of transportation systems is the mathematical modeling of transportation systems (e.g., freeway junctions, arterial routes, roundabouts, downtown grid systems, etc.) through the application of computer software to better help plan, design, and operate transportation systems. [1]
COMPASS, also referred to as Freeway Traffic Management System, is a system run by the Ministry of Transportation of Ontario (MTO) to monitor and manage the flow of traffic on various roads (including 400-series highways) in Ontario. COMPASS uses pairs of in-road sensors to detect the speed and density of traffic flow.
Scalable Urban Traffic Control (SURTRAC) [1] [2] is an adaptive traffic control system developed by researchers at the Robotics Institute, Carnegie Mellon University.SURTAC dynamically optimizes the control of traffic signals to improve traffic flow for both urban grids and corridors; optimization goals include less waiting, reduced traffic congestion, shorter trips, and less pollution.
The U.S. Federal Highway Administration, through its Every Day Counts initiative, is working to accelerate the adoption of adaptive signal control technologies in the U.S. Its website states, "Real-time management of traffic systems is proven to work, yet these systems have been deployed on less than 1 percent of existing traffic signals.