Skip to main content

AGD updates AI multimodal detector

AGD650 now includes advanced tracking capabilities for buses
By Adam Hill November 13, 2024 Read time: 1 min
Updated AGD650 enhances junction safety through all-red signal phases (© Lakhesis | Dreamstime.com)

AGD has updated its AGD650 AI Multi Modal Detector, which includes advanced tracking capabilities for buses.

Trials are underway to extend functionality to cyclists and heavy goods vehicles, the manufacturer says.

Originally designed for stop-line detection, the AGD650 has evolved to support a wide range of traffic management applications, including optimising urban traffic flow with Split Cycle Offset Optimisation Technique (Scoot), enhancing junction safety through all-red signal phases and providing precise vehicle detection to manage turn-specific signal control.

AGD says the detector’s capabilities extend to monitoring exit blocking to prevent bottlenecks and prioritising public transport with bus lane detection, helping to improve efficiency and safety on increasingly busy roads.

The updated AGD650's optical technology ensures the same level of accuracy and reliability that traffic managers trust while delivering new functionality to meet evolving urban transport challenges, the firm insists. 

"The enhanced AGD650 represents an important leap forward in traffic management technology," says Kieran Corbally, senior commercial manager at AGD.

“By expanding its capabilities to include applications such as bus lane prioritisation and SCOOT, we are empowering cities with the tools they need to tackle modern traffic challenges head-on. The trials for cyclists and HGVs further demonstrate our dedication to delivering comprehensive solutions for all road users.”

For more information on companies in this article

Related Content

  • TfL expands SCOOT adaptive traffic management
    January 11, 2013
    Microsimulation traffic modelling has supported a further roll-out of SCOOT adaptive traffic signal control in London, demonstrating a 13% reduction in travel delays. Development of a cost-effective traffic modelling system has led to a further major roll-out of SCOOT adaptive traffic management technology in London, says traffic and software programme director Gavin Jackman of UK transport consultancy TRL. The roll-out of SCOOT at 600 additional intersections, now at its midpoint, is a central plank in the
  • TfL expands SCOOT adaptive traffic management
    January 11, 2013
    Microsimulation traffic modelling has supported a further roll-out of SCOOT adaptive traffic signal control in London, demonstrating a 13% reduction in travel delays. Development of a cost-effective traffic modelling system has led to a further major roll-out of SCOOT adaptive traffic management technology in London, says traffic and software programme director Gavin Jackman of UK transport consultancy TRL. The roll-out of SCOOT at 600 additional intersections, now at its midpoint, is a central plank in the
  • TfL expands SCOOT adaptive traffic management
    January 14, 2013
    Microsimulation traffic modelling has supported a further roll-out of SCOOT adaptive traffic signal control in London, demonstrating a 13% reduction in travel delays. Development of a cost-effective traffic modelling system has led to a further major roll-out of SCOOT adaptive traffic management technology in London, says traffic and software programme director Gavin Jackman of UK transport consultancy TRL. The roll-out of SCOOT at 600 additional intersections, now at its midpoint, is a central plank in the
  • Iteris to show state-of-the-art sensor and virtualised workzone management in Phoenix
    March 22, 2024
    At ITS America 2024, Iteris will host demonstrations showcasing how its software, sensor and consulting solutions help agencies bring revolutionary technologies to scale for improved mobility and safety. Visitors to its booth will be able to see how its AI-powered ClearMobility Platform offers a complete portfolio of end-to-end solutions to monitor, visualise and optimise mobility infrastructure around the world. The company applies AI tools across multiple levels of its ecosystem, including neural networks that enable machine learning based on real-time and historical data to support predictive analysis within the ClearMobility Platform.