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

  • Bringing V2I and V2V communications to workzone safety
    January 26, 2012
    Imran Hayee of the University of Minnesota Duluth's Department of Electrical and Computer Engineering talks about efforts to bring V2I and V2V communications into work zones. With USDOT backing and under the auspices of the ITS Joint Program Office Connected Vehicle Research (formerly IntelliDrive) research programme, M. Imran Hayee of the University of Minnesota Duluth's Department of Electrical and Computer Engineering along with team of his students, have been conducting research into the application of
  • CCTV brings transit safety into view
    September 15, 2014
    David Crawford looks at camera-based vulnerable road users protection systems.Safe and efficient operation of road-based transit depends on minimising the risks of incidents involving other vehicles or vulnerable road users such as pedestrians, cyclists and passengers boarding or alighting from buses or trams. The extent and quality of the visibility available to drivers is crucial in preventing and avoiding incidents. Conventionally, they have had to rely on fairly basic equipment - essentially the human
  • Velodyne applies AI to traffic monitoring 
    May 18, 2021
    Lidar-based AI traffic solution installed at multiple intersections in New Brunswick, New Jersey
  • LiDAR sets its sights on future problems
    February 23, 2017
    AAdvances in LiDAR are helping transport authorities improve services and identify potential problem areas, as geospatial technology expert Dr Neil Slatcher explains. The effects of climate change on the transport infrastructure have long been a cause of concern within the transportation sector - and not only on the structures themselves but also on the surrounding areas. This year, those concerns have become reality with landslides, structural collapses and surfacing issues impacting services across the wo