Autonomous vehicles depend on consistency. Road paint, signage and temporary markers must meet standards for reliable machine ...

HUMAN Sightline Cyberfraud Defense, Featuring AgenticTrust, Secures the Customer Journey and Unlocks Safe, Scalable Growth ...

Adaptive traffic signal control (ATSC) is a critical component of intelligent transportation systems, with the capability to significantly alleviate urban traffic congestion. Reinforcement learning ...

The newly introduced system, known as the Bengaluru Adaptive Traffic Control System (BATCS), leverages real-time traffic data ...

Bengaluru's traffic police have rolled out an update to the ATCS system amid concerns over AI-powered solutions to the ongoing commute and mobility crisis.

Trader AI Inc. is a AI-driven cryptocurrency trading solutions. Founded in 2023 by a team of quantitative analysts, data scientists, and seasoned software engineers, Trader AI’s mission is to ...

Existing multi-agent reinforcement learning (MARL) in adaptive traffic signal control (ATSC) typically models cooperative control of multiple intersections as a cooperative Markov game, optimizing the ...

Airton Kohls helped create the Traffic Signal Academy to address the shortage of trained professionals managing traffic signals across Tennessee.

Hudson has installed 16 new adaptive traffic signals at major intersections to improve traffic flow and decrease congestion throughout the city.

Lenexa adding more AI traffic signal systems at intersections across the city The API failed to deliver the resource.

The Minnesota Department of Transportation has multiple highway projects in progress in three northwest Minnesota cities. Inspections of traffic signals have found four up for removal.

DeepTrafficQ is a reinforcement learning-based traffic signal control system that uses Deep Q-Networks (DQN) to minimize vehicle waiting times at a 4-way intersection. By leveraging Q-learning with ...