Skip to main content

San Francisco deployment for Rideflag HOV verification app

Metropolitan Transportation Commission has one of world's largest express lane networks
By David Arminas October 12, 2023 Read time: 2 mins
High-occupancy vehicle verification is a key part of enforcement (© Andreistanescu | Dreamstime.com)

Rideflag Technologies is working with the San Francisco Bay Area Metropolitan Transportation Commission (MTC) on a multi-phased deployment of its high-occupancy vehicle (HOV) verification tool.

The Canadian company, based in the province of Ontario, recently showcased its occupancy detection smartphone app at the IBTTA Annual Meeting and Exhibition in Seattle in the US.

The Bay Area Express Lanes are a local network of managed lanes that are currently being implemented across the interstate highway through close coordination among regional agencies. 

Rideflag says that the applicability of its technology is particularly relevant for MTC as the agency is planning to deploy the tool on one of the largest Express lane networks in the world, in addition to San Francisco’s Golden Gate and Oakland Bay bridges. MTC has around 125 lane-miles of operating Express Lanes in an overall planned regional network of 737 lane-miles.

Rideflag’s vehicle occupancy detection (VOD) camera technology accurately counts and verifies vehicle occupants. Using only one smartphone, carpoolers can declare and verify their occupancy in around five seconds or less. Verification can be completed with a face mask, sunglasses, in all lighting conditions and with children.

As well, the technology can be integrated with agency back-office systems through an API call or can directly connect with transponder readers. The app can also fully integrate with advanced agency customer relationship management tools.

Importantly, says Rideflag, while the technology counts the number of occupants within a vehicle and determines whether they are real, it cannot determine occupant identity.

The technology also does not continuously track a user’s location. It looks only at their route on the highway. The location data is gathered only in order to grant the correct HOV benefits to carpoolers.

RideFlag Technologies is partnering with the University of South Florida in the US and which received a research grant from the National Institute for Congestion Reduction.

In collaboration with the Center for Urban Transportation Research at the university, Rideflag’s VOD smartphone app is being tested on multiple express lane facilities to help further improve the technology and optimise its impact on creating new and sustained carpools.

For more information on companies in this article

Related Content

  • Stocchi takes on transatlantic tolling tasks
    March 20, 2017
    We talk to Emanuela Stocchi, the first overseas-based female president of IBTTA and well placed to view tolling on both sides of the Atlantic. As incoming president of the International Bridge, Tunnel and Turnpike Association (IBTTA), Emanuela Stocchi aims to bolster the ‘international, mobility and connections’ elements of the US-based tolling organisation.
  • Clipper hits millionth card milestone
    March 23, 2012
    The San Francisco Bay Area's Clipper transit fare-collection programme has hit the magic one million active cards in circulation milestone. Staff at the Metropolitan Transportation Commission (MTC) credit the surge to transit operator campaigns to transition more riders, especially youth and senior riders, from paper tickets and passes to the reloadable Clipper card before the end of the year.
  • IBTTA: use tolls to raise the grade
    March 10, 2021
    Sobering report on state of US roads suggests road user charging on horizon, IBTTA says
  • Ford Opens new Silicon Valley research centre
    January 26, 2015
    Ford’s newly opened Research and Innovation Center Palo Alto, US, will drive the company’s innovation in connectivity, mobility, autonomous vehicles, customer experience and big data, it says. The new research centre will continue the company’s work on autonomous vehicles, including ongoing work with University of Michigan and Massachusetts Institute of Technology. It will also expand collaboration with Stanford University that started in 2013 and will contribute a Fusion autonomous research vehicle to t