TransSuite success!

TransCore has announced today at the ITS America Annual Meeting that it has completed one of the fastest TransSuite deployments, for the Missouri Department of Transportation (MoDOT), encompassing more than 1,200 centerline miles and nearly 800+ total devices. And the company has also unveiled a new mobile iPad app for the advanced traffic management system (ATMS) so that agency engineers or managers can monitor traffic conditions and system operations from anywhere at any time.
May 20, 2012 Read time: 2 mins
With TransCore’s iPad mobile app, real time traffic situations can be managed remotely
139 Transcore has announced today at the ITS America Annual Meeting that it has completed one of the fastest TransSuite deployments, for the 1773 Missouri Department of Transportation (MoDOT), encompassing more than 1,200 centerline miles and nearly 800+ total devices.

And the company has also unveiled a new mobile iPad app for the advanced traffic management system (ATMS) so that agency engineers or managers can monitor traffic conditions and system operations from anywhere at any time.

In Missouri, TransSuite replaces the existing traffic management software used for the MoDOT-Gateway Guide program, a system designed to relieve congestion and improve safety in the greater St. Louis region, and the 19th-largest urban area in the nation.
“By deploying TransSuite, MoDOT will have more sophisticated integration among various traffic systems so the Gateway Guide engineers can control their roadway networks with increased precision and respond to traffic situations as they occur," says Jim Wilson, TransCore Vice President overseeing the team of engineers dedicated to the MoDOT project.

MoDOT deployed nine of the standard TransSuite system modules, which covered systems including video wall and camera control, sign control, detection collection, map interface, emergency and construction management, data reporting and extraction tools, CAD interface, web page system access, and the XML exporter service.

%$Linker: Asset 4 12662 0 oLinkExternal <span class="mouselink">www.TransCore.com</span> www.transcore.com false /EasySiteWeb/GatewayLink.aspx?alId=12662 false false%>

For more information on companies in this article

Related Content

  • TSS touts San Diego pilot program using its Aimsun simulation-based prediction system
    April 23, 2013
    SS-Transport Simulation Systems is touting a recent deployment of Aimsun, its simulation-based prediction system, in the San Diego area as part of a U.S. DOT pilot program. The project, led by San Diego Association of Governments (SANDAG), won the Best of ITS Award presented at the opening plenary.
    Read More
  • Vision Components’ ANPR library identifies damaged plates
    October 29, 2014
    Vision Components’ Carrida software engine is a powerful OEM Library, which is easy to integrate into existing security and surveillance applications, including access control, toll control and traffic analysis. The high-performance, hardware-independent software tool assures reliable high speed recognition of vehicle number plates. With a typical processing time of 30ms and a recognition accuracy of more than 96%, the ALPR/ ANPR library precisely and reliably identifies number plates, even if dirty, dam
    Read More
  • Citilog innovation in smart sensors
    March 10, 2014
    Citilog, a global leader in AID (automatic incident detection), will use Intertraffic Amsterdam 2014 to introduce XcamEdge, a new innovation in the company’s XCam smart sensor series. Initially developed and designed for intersection control applications such as presence detection with XCam-p, the XCam range quickly expanded, with the XCam-ng, to smart detection for intersections with queue monitoring and anti-gridlock applications. Indeed, the latest success of the XCam-ng is the smart traffic control
    Read More
  • Sensefields’ wireless sensors simplify sensing
    March 24, 2014
    Sensefields’ traffic monitoring system uses easily installed wireless sensors to determine vehicle speed and, in urban situations, also for categorisation. Information from the sensor is sent in real time to the data processing station to determine the capacity (vehicles per hour) in each lane, average speed, speed distribution, average vehicle length, length distribution, density, average headway between vehicles and occupancy (%).
    Read More

Highlighted Content