Parsons to upgrade LA Regional Intelligent Transportation System

US engineering services firm Parsons has been selected by the Los Angeles County Metropolitan Transportation Authority (Metro) to modernise the Regional Integration of Intelligent Transportation System (RIITS) to provide near real-time transportation data exchange between more than 125 traffic, transit, emergency services and other agencies to improve transportation in Southern California. Parsons will provide RIITS with operational integration functionality through technologies that will deliver big da
October 27, 2016 Read time: 2 mins
US engineering services firm 4089 Parsons has been selected by the Los Angeles County Metropolitan Transportation Authority (Metro) to modernise the Regional Integration of Intelligent Transportation System (RIITS) to provide near real-time transportation data exchange between more than 125 traffic, transit, emergency services and other agencies to improve transportation in Southern California.

Parsons will provide RIITS with operational integration functionality through technologies that will deliver big data analytics and reporting capabilities.

LA Metro administers RIITS on behalf of member agencies for the Southern California region. Caltrans, the City of Los Angeles Department of Transportation, the California Highway Patrol, Long Beach Transit, Foothill Transit, the County of Los Angeles Public Works Department Information Exchange Network, Metro and others exchange information through RIITS. This exchange provides transportation operations with a consolidated, data-rich and near real-time source of information for transportation in Southern California via an interface that allows for coordinated transportation management throughout the region. RIITS also exchanges near real-time transportation data with numerous traveller information services.
Urban Traffic Control

For more information on companies in this article

Related Content

  • Detection analysis technology successfully predicts traffic flows
    February 3, 2012
    David Crawford investigates new detection analysis technology from IBM. Locations on both the East and West Coasts of the US are scheduled for early deployments of IBM's new Traffic Prediction Tool (TPT) statistical analysis model for the fine-time resolution and near-term prediction of road flow conditions. Developed by IBM's Watson Research Laboratories, TPT is designed to analyse data from the the key detection indicators - average vehicle volumes and speeds passing a location in a given time interval -
    Read More
  • PTV sets its sights on Smart City solutions
    February 9, 2017
    Making a city smarter not only relies on understand technological opportunities but also human decision-making, as Miller Crockart explains. Cities are about people – a fact that can easily be forgotten when experts talk about roads, healthcare and education as though they are abstract and unconnected monoliths rather than things people use. Understanding how and why people use services is vital for making decisions on how they can be optimised for maximum efficiency across inter-connected networks that for
    Read More
  • WTS International: Attract, Connect, Sustain, Advance
    December 7, 2022
    WTS International exists to connect transportation professionals, and to help prepare the next generation of the mobility workforce. But it takes everyone to create change, says Lindsay Shelton-Gross
    Read More
  • US updates ITS strategy for Connected Vehicle deployment
    March 16, 2015
    Jon Masters looks at the USDOT’s new ITS Strategic Plan for the next five years. Emphasis and direction for the next five years of Government led ITS research in the United States has been framed within a new ITS Strategic Plan. The US Department for Transportation’s (USDOT) ITS Joint Program Office (JPO) published the report at the tail end of 2014 after concluding a two-year ITS industry consultation process. The Plan identifies a vision to transform the way society moves and the ITS JPO’s aim of advancin
    Read More

Highlighted Content