Skip to main content

Senior Iteris appointment

Tom Blair, an experienced software industry leader, has joined Iteris and assumed the new position of senior vice president of Iteris’s recently established iPerform group. The group was established in 2011 to focus on the development and deployment of software-based performance measurement and information management solutions. It was expanded with the acquisition of Berkeley Transportation Systems in October 2011, and has since made several key management appointments.
July 13, 2012 Read time: 2 mins
RSSTom Blair, an experienced software industry leader, has joined 73 Iteris and assumed the new position of senior vice president of Iteris’s recently established iPerform group. The group was established in 2011 to focus on the development and deployment of software-based performance measurement and information management solutions. It was expanded with the acquisition of Berkeley Transportation Systems in October 2011, and has since made several key management appointments.

“Tom is a seasoned software executive with a wealth of experience in building and growing software products and organizations,” said Abbas Mohaddes, president and CEO of Iteris, Inc. “His appointment reflects our commitment to introduce the most capable and effective software-based information solutions to the intelligent traffic management market. With our first product launch quickly approaching, we believe we have now assembled the critical elements of the team required to enter this fast-growing market with the delivery of our new IterisPeMS software product.”

IterisPeMS is a state-of-the-art information management solution that uses all available data resources to provide effective performance analysis and prediction. It can ‘fuse’ information from a wide spectrum of sources, including roadway sensors as well as weather and other traffic related data. The software provides this valuable information for not only freeways, but also for arterials and multi-modal forms of transportation. Its powerful information engine combines sensitivity analysis and performance measurement capabilities that continuously evaluate and quantify network performance. The product is expected to launch before the end of the current calendar quarter.

Prior to joining Iteris, Blair’s previous positions included serving as general manager for 1985 Trimble Navigation, vice president for new business development at @Road, and director of business and corporate development at iAnywhere Solutions, a Sybase company.

For more information on companies in this article

Related Content

  • Pioneering new passenger information systems
    February 3, 2012
    Chicago pioneers new passenger information initiatives. By David Crawford
  • Suppliers reshape to provide tolling and traffic management expertise
    August 2, 2013
    Jason Barnes examines the trend towards single source supply of complete tolling and traffic management solutions with some senior tolling industry figures. Only a few years back, the major tolling system suppliers were aggressively positioning themselves as one-stop shops for tolling solutions and operations. No sooner has that little flurry of innovation settled than another trend has emerged – tolling companies wanting to become major ITS suppliers as well. Various tolling company seniors have in recent
  • Watch your step: the sidewalk robots are here
    March 14, 2023
    The way we order and pay for goods has changed radically – but what about how those goods are delivered? Gordon Feller looks at how sidewalk robots might reshape the urban landscape
  • Cubic: predictive analytics is putting fortune tellers out of business
    November 23, 2018
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a