Temporary Traffic Management is central to safe roadworks across the United Kingdom. As urban traffic grows and construction activity increases, delivering compliant, safe, and efficient TTM layouts has become more complex. The UK’s GG117 guideline outlines the mandatory principles for designing work zones, diversions, lane closures, and safe layouts that protect both workers and road users.
Today, artificial intelligence is reshaping how these requirements are executed. With the rise of road asset management UK practices and advanced digital tools, authorities and contractors are adopting AI temporary traffic management systems to accelerate design, improve safety, and ensure full compliance.
Modern solutions such as the platforms provided by RoadVision AI bring accuracy and automation to every step of TTM planning, from data capture to compliant output generation.
GG117 provides detailed instructions for work zone setup, design validation, hazard mitigation, and traffic flow planning. But producing TTM designs manually often involves time-consuming field surveys, drawing iterations, and repeated design checks.
AI-driven systems streamline the entire process by using high-resolution video analytics, digital mapping, and automated design generation. With integrated tools such as AI-based traffic survey technologies, designers can understand real-time conditions before preparing compliant traffic control diagrams.
AI roadwork design tools start by using computer vision to map roads, carriageways, lane widths, shoulders, footpaths, and roadside assets.
Platforms such as AI road inventory inspection capture the exact geometry needed for layout decisions.
This ensures every TTM plan is built on verified, up-to-date, and accurate road conditions.
Compliant TTM design must match site conditions. Tools powered by AI-based traffic survey methods detect actual traffic volumes, turning movements, pedestrian flows, and peak-hour congestion to optimise work zone setups.
This supports precise traffic diversion planning, tailored to real user behaviour rather than assumptions.
Using thousands of historic movement patterns and live camera observations, AI evaluates whether diversion routes meet GG117 recommendations for:
This automation helps create safer diversions more quickly and with fewer human errors.
AI roadway tools can auto-generate designs for:
By integrating road geometry from AI pavement-condition-survey and safety insights from road-safety-audit, the final work zone designs are more robust and compliant.
Modern AI-based work zone design systems evaluate visibility, stopping sight distances, access points, and conflict areas. They automatically flag potential hazards such as:
Such automated compliance checks significantly improve safety outcomes.
Authorities in the UK often face delays due to incomplete design data or incorrect layouts.
AI ensures TTM drawings are precise, data-backed, and audit-ready.
Integration with digital road-safety-audit workflows further speeds up approval cycles and reduces rework.
AI-driven automation benefits:
With safer work zones, lower delays, and improved network performance, AI helps the UK move towards a more efficient, predictable, and sustainable traffic management system.
Advanced AI-based traffic management technologies are enabling UK authorities and contractors to design safer, smarter, and fully compliant work zones faster than ever. Modern platforms automate road data collection, streamline work zone layout generation, and ensure GG117 alignment from start to finish. Solutions like RoadVision AI support complete optimisation across surveys, inventory mapping, and TTM validation.
RoadVision AI is revolutionizing the way we build and maintain infrastructure by leveraging the power of AI in roads to enhance road safety and optimize road management. By utilizing cutting-edge roads AI technology, the platform enables the early detection of potholes, cracks, and other road surface issues, ensuring timely maintenance and improved road conditions. With a mission to create smarter, safer, and more sustainable roads, RoadVision AI ensures full compliance with IRC Codes, empowering engineers and stakeholders to make data-driven decisions that reduce costs, minimize risks, and improve the overall transportation experience.
To explore how AI-powered TTM automation can transform your operations, book a demo with us.
AI detects risk points, analyses alignment, checks visibility, and validates layout compliance to minimise hazards during roadworks.
AI augments engineers by automating repetitive tasks, while human experts finalise and approve designs.
Yes, AI tools incorporate key GG117 principles into automated design generation, ensuring accurate and compliant layouts.
The Autonomous Road Engineer
AI that is transforming road infrastructure, from reactive to predictive.
