TSS shows Aimsun Online real-time traffic management system
TSS-Transport Simulation Systems is showcasing its Aimsun Online real-time decision support system for traffic management. One of the most high-profile traffic management projects to use Aimsun Online as its prediction engine is the award-winning Interstate 15 Integrated Corridor Management (ICM) project led by the San Diego Association of Governments (SANDAG). At the core of the project is the configuration and implementation of a Decision Support System (DSS) using Aimsun Online.
September 8, 2014
Read time: 2 mins
Matthew Jukes and Sydnie White of TSS with Aimsun Online
TSS-2195 Transport Simulation Systems is showcasing its 7320 Aimsun Online real-time decision support system for traffic management. One of the most high-profile traffic management projects to use Aimsun Online as its prediction engine is the award-winning Interstate 15 Integrated Corridor Management (ICM) project led by the 1789 San Diego Association of Governments (SANDAG). At the core of the project is the configuration and implementation of a Decision Support System (DSS) using Aimsun Online.
“The DSS gives system managers comprehensive awareness of the current and predicted performance of the entire corridor,” says Matthew Juckes, senior project manager at TSS. “Now managers can take proactive steps to prevent system breakdown using enhanced controls across devices such as traffic signals, ramp meters, and dynamic message signs.”
Taking it one step further, earlier this year SANDAG completed a ‘Coordinated Test Plan’ for the first ever ‘fully automated’ multi-modal corridor handling of a freeway incident. TSS says this is one of the first times in the US that a traffic management decision has been successfully made entirely based on automatically triggered real-time simulations of the entire multi-modal transportation network.
Another recent innovation to come from the ICM project is the free 511 San Diego mobile application which is available for iOs and 1812 Android. Funded by the 324 US Department of Transportation, the app provides real-time predictions from Aimsun Online and system based advisories, letting users view predictive travel times on I-15; current traffic conditions; MTS bus routes, fares, arrival times; as well as real-time dynamic toll rates for the I-15 Express Lanes. Since its launch in May 2014 it has already had over 25,000 downloads.
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The brands affected are Citi Bike in New York, Capital Bikeshare in Washington, DC, and the Bay Area’s Ford GoBike.
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The first BigDataEurope at 1000 CET on 21 September will look at the societal challenge of Smart, Green and Integrated Transport.
The webinar sets out to introduce the BigDataEurope project in general as well as the various stakeholders and applications for Big Data in the Transport domain in particular, followed by a question and answer session.
More information on the agenda and speakers will be available shortly. Register for the seminar here.
