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

  • Weigh in motion reduces road wear, increases toll revenue
    January 24, 2012
    IRD, Inc's Terry Bergan discusses future applications of weigh in motion technology. The application in recent years of Weigh In Motion (WIM) at tollgates has been driven by recognition of the fact that there is economic value, which can be levied, attached to Heavy Goods Vehicles (HGVs) which haul laden (and are therefore heavy) rather than empty. As wear and damage to road surfaces increases exponentially with weight, the targeting of HGVs in particular makes sense from both the economic and maintenance p
  • Virginia presses ahead with tunnels upgrade despite tolls challenge
    July 30, 2013
    David Crawford reviews current developments and legal/financial issues facing tunnel management in Virginia. This autumn the Virginia Department of Transportation (VDOT) in the US will defend its plan to introduce tolling on the Elizabeth River tunnels linking the cities of Norfolk and Portsmouth in the State’s Hampton Roads area. The tolling, which is due to start from February 2014, will be examined by the State’s Supreme Court later this year. The anticipated toll income, along with loans and bonds, is
  • ITS instrumental in reducing Texan congestion
    September 4, 2018
    ITS projects in the Houston area have seen costs crunched – and even a system failure has proved valuable in analysing performance. David Crawford reports on developments in the Lone Star state Savings by Texan public agencies are major factors in the recent ITS Texas awards, recognising beneficial initiatives in bridge strike prevention and traffic intersection control. In the first, the Texas Department of Transportation (TxDOT)’s Houston District, covering the state’s most populous city and its surround
  • Artificial Intelligence applications for commercial vehicle operations
    December 28, 2021
    The combination of machine learning, deep neural networks and computer vision provides opportunities to address in new ways an increasing range of functions that are a part of commercial vehicle operations. Here, IRD’s Rish Malhotra details how.