Latest
5 min agoWest Sussex County Council Trials Dashboard AI Cameras On 8 Highway Inspection Vehicles YesterdayKurrant Advises Telraam on Its Sale to Quanteo, Parent Company of Eco-Counter 5 OctCartagena Tenders €130,258 Sensor Network For Air, Weather And Pedestrian Data 5 OctUkraine’s Decarbonization Fund Buys 40,000 NB-IoT Gas Meter Modules For UAH 187.2 Million 4 OctGermany Opens Its Grid To Bidirectional EV Charging 3 OctAmpol Agrees $225 Million Purchase Of Evie Networks, Combining 1,424 Fast-Charging Bays 3 OctGreek Ministry Of Digital Governance Receives Four Bids For 1,000-Camera Enforcement Network 2 OctMonza Approves €615,000 Camera Upgrade At 14 Signalised Intersections Under SAMU Project 2 OctLe Taillan-Médoc Ends Midnight Streetlight Shutoff, Switching To All-Night Dimmed LED Lighting 2 OctBogotá Plans 100,000 Telemanaged LED Streetlights As Enel Lighting Agreement Ends In November
Kurrantly News · Weekly briefingThe week in smart cities and utilities, in one email
Share
V2X · USA

Peachtree Corners Launches AI-Powered Pedestrian Safety Pilot

Kurrant News Desk · ·1 min read

Peachtree Corners, a city in the U.S. known for its connected infrastructure and 5G capabilities, has partnered with ConnVAS, a developer of traffic and pedestrian safety solutions, to launch a pilot project aimed at improving roadway safety. The initiative, deployed near a Middle School, tests an AI-driven system designed to reduce accidents and enhance safety for pedestrians, cyclists, and drivers.

The pilot utilizes ConnVAS’s MAGIC (Multi Access Generic Infrastructure Controller) system, which integrates AI-powered cameras, V2X (vehicle-to-everything) communication, and audio-visual alerts. The system detects pedestrians, cyclists, and vehicles in real time, activating warnings even if crosswalk signals are not manually triggered. It also collects anonymized data on near-misses, traffic patterns, and pedestrian activity to inform future safety improvements.

Preliminary results from a 72-hour test period showed over 220 pedestrian crossings and 70 crossing events, with only three false alarms. The system successfully activated alerts in real time, providing timely warnings to road users. Data collected will help city officials make informed decisions about urban planning and road safety enhancements.

The pilot also explores additional features, such as autonomous operation to eliminate manual button presses, cyclist-friendly designs, and dynamic lighting based on pedestrian location. The project underscores Peachtree Corners’ commitment to leveraging technology for safer, smarter infrastructure.