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Ahmedabad’s AI traffic pilot boosts flow by 18%

Ahmedabad has launched an AI-driven adaptive traffic control system at 10 major junctions, delivering an 18% improvement in traffic flow during its pilot phase. The system uses real-time data from ...

AI-driven traffic control launched in Ahmedabad to cut signal delays, congestion: Here's how it works

Ahmedabad rolls out an AI-based traffic system at key junctions, using real-time data to reduce congestion, improve flow, and ...
IEEE

Confidence Based Asynchronous Integrated Communication and Localization Networks Using IR-UWB Signals

Abstract: Driven by increasing demands for integrated communication and localization (ICL), ultra-wideband (UWB) technology has attracted significant attention due to its high temporal resolution and ...

North Texas cities are using AI to help with traffic ahead of World Cup

North Texas cities are using an AI traffic management system in preparation for the World Cup.
IEEE

iLLM-TSC: Integration Reinforcement Learning and Large Language Model for Traffic Signal Control Policy Improvement

Abstract: Urban congestion remains a critical challenge, with traffic signal control (TSC) emerging as a potent solution. TSC is often modeled as a Markov Decision Process problem and then solved ...