Skip to main content

AI bus camera tech stops overtaking

Conduent Transportation and Hayden AI partner to improve safety for schoolchildren
By Adam Hill September 1, 2022 Read time: 2 mins
The cameras will activate when bus lights flash and the stop arm is deployed (© Dogorasun | Dreamstime.com)

Conduent Transportation and Hayden AI are partnering to develop and deliver an automated technology solution aimed at discouraging car drivers from passing school buses whose 'stop arm' is extended.

The move is designed to improve safety for children who ride on buses, especially at pick-up or drop-off. It is illegal to overtake if the stop arm is down.

Available later this year, the solution will combining artificial intelligence and computer vision, using mobile cameras mounted on bus exteriors.

The cameras will activate when bus lights flash and the stop arm is deployed, automatically recording licence plate details of any car which does overtake.

A video clip of the violation will be sent via a secure cloud connection to law enforcement for evaluation, and citations or warnings can be issued.

The companies say it will result in more prosecutable violations, requires no effort from school bus drivers to operate and will be funded through fines - negating the need for upfront costs to school districts or schools. 

Conduent and Hayden AI add that recent survey by the National Association of State Directors of Pupil Transportation Services found there are "tens of millions of violations per year across America where vehicles pass school buses, creating an unsafe situation for the children getting on or off buses".

Twelve US states have implemented school bus stop-arm enforcement technology, and legislation to allow its use has been introduced in at least 10 other states.
 
Conduent and Hayden AI agreed last year to collaborate on traffic safety solutions, including automated technology to improve the effectiveness of bus rapid transit lanes.

“Automated school bus stop-arm enforcement technology is a valuable tool for school districts and law enforcement agencies seeking to keep students safe,” said Mark Brewer, president, Transportation Solutions at Conduent. 
 
Chris Carson, CEO and co-founder at Hayden AI, says: “Together, we will launch new technology that empowers us to achieve things we never thought were possible, and to solve problems that were previously too costly or difficult.”

For more information on companies in this article

Related Content

  • Tolling Matters: Getting the balance right
    January 18, 2023
    The concept of road usage charging (RUC) is slowly coming to the fore. But it isn’t just a question of good fiscal sense – it’s about promoting equity and ensuring sustainability too, says Scott Jacobs of Emovis
  • Can GNSS solve the tolling world’s woes?
    December 5, 2013
    Kapsch’s Arno Klamminger and Wolfgang Fleischer consider the need for an agnostic approach to technology for charging and tolling. Periodically, given the march of technology, it is worth pausing and taking stock of where we have got to and where we go next. Such reflections are necessary if we are to take full advantage of what we have at our disposal and, potentially, avoid decisions which push us down technological culs de sac. A look at the use of Global Navigation Satellite System (GNSS)-based technol
  • Iteris' $3.3m intersection deal solves dilemma
    May 18, 2021
    City of Modesto, California, will improve traffic flow while saving money, says Iteris
  • Brooklyn eyes Bogota’s BRT system
    June 17, 2016
    David Crawford considers the increased interest in bus rapid transit and looks that the latest trends. Bus rapid transit (BRT) is gaining an increasingly high profile in the US public transport agenda, for two main reasons. One is the potential for ‘trains on wheels’ to save substantially on installation costs as compared with other modes such as underground metros or light-rail transit. Another, highlighted in the case of New York City, is the value of having a rapid surface-based alternative available whe