Hull has initiated a new scheme leveraging artificial intelligence (AI) to enhance traffic flow within the city. The technology aims to analyze data collected during peak morning and evening rush hours on major roads leading into and out of Hull, subsequently optimizing the sequencing of traffic lights using computer software to facilitate smoother vehicle movement.
The implementation of this technology is anticipated to alleviate congestion and contribute to improved air quality, addressing key concerns voiced by residents regarding traffic-related issues. Mark Ieronimo, the portfolio holder for roads, highways, and transportation at Hull City Council, emphasized the significance of addressing congestion and traffic-related challenges, acknowledging the importance of journey times to the public and their desire for enhanced environmental and health outcomes.
The trial, which commenced in December and is scheduled to extend into 2025, encompasses key thoroughfares including County Road, Spring Bank, Cottingham Road, Freetown Way, and Anlaby Road. If successful, the initiative holds the potential for expansion to other areas of the city, offering broader benefits to residents and commuters.
Simplifai Systems, in collaboration with the council, is facilitating the implementation of AI technology in traffic management. Keith McCabe, CEO of Simplifai Systems, highlighted the efficiency of AI-driven solutions in generating traffic models within minutes, underscoring the rapid and impactful nature of AI in addressing traffic flow optimization challenges.
