Skip to main content

Xerox launches passenger detection system for HOV/HOT lanes

Recognising that the benefits of high occupancy carpooling lanes are severely limited when motorists do not abide by the rules, Xerox has launched its vehicle passenger detection system, a HOV/HOT lane compliancy test system that uses Xerox video analytics to identify the number of occupants in a vehicle. Unlike competing solutions, the Xerox system identifies the number of occupants in a vehicle with better than 95 per cent accuracy at speeds ranging from stop-go traffic to 100 mph. Using patented vi
April 4, 2014 Read time: 2 mins
Recognising that the benefits of high occupancy carpooling lanes are severely limited when motorists do not abide by the rules, 4186 Xerox has launched its vehicle passenger detection system, a HOV/HOT lane compliancy test system that uses Xerox video analytics to identify the number of occupants in a vehicle.

Unlike competing solutions, the Xerox system identifies the number of occupants in a vehicle with better than 95 per cent accuracy at speeds ranging from stop-go traffic to 100 mph.

Using patented video analytics and geometric algorithms, the roadside detection unit can distinguish between empty and occupied seats. When a violation is detected, the information can be reported to the relevant enforcement agency in real time so an officer can visually confirm the information and potentially issue a citation.

Designed for tolling agencies managing HOT lanes and transportation departments as well as state law enforcement officers seeking better HOV enforcement, Xerox’s detection system can produce valuable analytics for agencies to improve road management, traffic patterns and total vehicle occupant statistics.

“Today, officers must park on the shoulder of a highway and quickly merge into traffic to chase down the violator, putting both the officer and the public at risk,” said Mark Cantelli, vice president, CTO, Government and Transportation Sector, Xerox. “This detection system automates the process and improves safety through the use of high-quality images and the generation of an evidence package.”

For more information on companies in this article

Related Content

  • Barcelona pilot for Hayden AI detection system
    March 21, 2025
    Hayden AI is last year's winner of Spanish city's Innova Lab Mobility challenge
  • Advanced traffic management amid urbanisation
    July 30, 2020
    There is no room for error on the crowded roads in many cities: Andrew Watson of Huawei explains why AI is a perfect tool to help urban authorities and transportation agencies look after people in busy traffic
  • Arizona DOT to test prototype wrong-way vehicle detection system
    November 25, 2015
    After a comprehensive study of wrong-way driving crashes on state highways and how technology may help reduce the threat, the Arizona Department of Transportation (ADOT) is planning a prototype project to use existing highway sensors to detect wrong-way vehicles and alert authorities and other motorists. ADOT director John Halikowski said the study sets the stage for the agency to develop and test a unique and innovative system to detect and track wrong-way drivers, improving opportunities for law enforceme
  • Debating the future of in-vehicle systems
    December 6, 2012
    Industry experts talk to Jason Barnes about the legislative situation of current and future in-vehicle systems. Articles about technology development can have a tendency to reference Moore’s Law with almost indecent regularity and haste but the fact remains that despite predictions of slow-down or plateauing, the pace remains unrelenting. That juxtaposes with a common tendency within the ITS industry: to concentrate on the technology and assume that much else – legislation, business cases and so on – will m