Technology cuts traffic waiting times by 'months'

A smart road technology project using AI in Tees Valley, UK, reduced traffic delays by up to 50% at six congestion hotspots, saving drivers 5,000 hours over a year. The system, part of the FUSION scheme and Digital Twin transport project, uses real-time traffic data to predict jams and adjust traffic lights automatically, covering 57 connected sites across Teesside, Darlington, and Hartlepool." "article": "The Tees Valley Combined Authority has reported significant traffic delay reductions after deploying AI-powered smart road technology at six congested junctions. Over 12 months, drivers saved a total of 5,000 hours, with the A174 Parkway junction on Thornaby Road alone seeing a 2,780-hour reduction. The system, part of the FUSION scheme and Digital Twin transport project, uses live traffic data to create a virtual replica of the road network, predicting congestion and adjusting traffic lights in real time. The AI-driven approach has improved traffic flow across 57 connected sites and 196 traffic signals in Teesside, Darlington, and Hartlepool. Other notable reductions include 715 hours saved near Norton Road in Stockton, 575 hours near Hart Lane, and 365 hours near York Road, both in Hartlepool. Tees Valley Mayor Ben Houchen highlighted the impact, stating the technology has cut waiting times by up to 50%, equating to over six months of reduced delays for drivers. Funded by a £2 million investment, the project simulates real-world transport conditions in real time, providing traffic operators with tools to maintain smooth traffic movement. The system’s success has eased frustration for drivers and improved journey efficiency across the region. Houchen emphasized that the results demonstrate the effectiveness of using advanced technology to directly address congestion challenges.
The Tees Valley Combined Authority has reported significant traffic delay reductions after deploying AI-powered smart road technology at six congested junctions. Over 12 months, drivers saved a total of 5,000 hours, with the A174 Parkway junction on Thornaby Road alone seeing a 2,780-hour reduction. The system, part of the FUSION scheme and Digital Twin transport project, uses live traffic data to create a virtual replica of the road network, predicting congestion and adjusting traffic lights in real time. The AI-driven approach has improved traffic flow across 57 connected sites and 196 traffic signals in Teesside, Darlington, and Hartlepool. Other notable reductions include 715 hours saved near Norton Road in Stockton, 575 hours near Hart Lane, and 365 hours near York Road, both in Hartlepool. Tees Valley Mayor Ben Houchen highlighted the impact, stating the technology has cut waiting times by up to 50%, equating to over six months of reduced delays for drivers. Funded by a £2 million investment, the project simulates real-world transport conditions in real time, providing traffic operators with tools to maintain smooth traffic movement. The system’s success has eased frustration for drivers and improved journey efficiency across the region. Houchen emphasized that the results demonstrate the effectiveness of using advanced technology to directly address congestion challenges.
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