AI traffic management platform expands into China following international patent approval

An artificial intelligence-powered traffic management platform developed in the UK is set for international expansion after securing a new patent for use in China, marking a significant milestone for smart mobility and intelligent transport technology.

The system, created by Simplifai Systems in collaboration with transport and AI specialists from the University of Huddersfield, is designed to improve urban traffic flow using real-time data analysis and automated optimisation strategies.

Technology Designed to Improve Urban Traffic Flow

The platform uses artificial intelligence to analyse multiple live transport data streams simultaneously, enabling traffic conditions to be managed dynamically across urban road networks.

The system processes information including:

• Traffic congestion levels
• Traffic signal operation
• Bus movement data
• Incident reporting
• Air quality monitoring

Using this data, the technology generates real-time traffic management strategies aimed at reducing congestion, improving journey reliability and supporting more efficient network performance.

The approach reflects growing industry adoption of artificial intelligence-driven transport systems as local authorities seek smarter methods of managing increasingly complex urban mobility challenges.

UK Trials Demonstrate Operational Success

The technology has already undergone successful trials in Hull and Kirklees and is now being used commercially in Blackpool and Glasgow. Sheffield is also expected to implement the platform in the near future.

In addition to managing peak-hour traffic volumes, the system can be deployed to respond to temporary network pressures caused by major events such as concerts, sporting fixtures and large public gatherings.

The ability to adapt traffic signal strategies in real time is seen as a key advantage over traditional fixed or reactive traffic management systems.

Collaboration Between Academia and Industry

The platform was developed through collaboration between Simplifai Systems and the University of Huddersfield’s AI4UTMC research team, led by Professor Mauro Vallati, Director of the Centre for Autonomous and Intelligent Systems (CAIS).

The wider research team includes specialists in artificial intelligence, transport systems and urban mobility modelling, with the project focused on applying this research to real-world traffic management challenges.

Simplifai Systems operates from the University’s 3M Buckley Innovation Centre, supporting continued collaboration between commercial technology development and academic research.

China Patent Signals Major International Growth Opportunity

The granting of a Chinese patent represents a major step forward for the commercial expansion of the technology into one of the world’s largest intelligent transport markets.

The latest approval follows a UK patent granted in 2024, while a US patent application also remains in progress.

Expansion into international markets could significantly increase adoption of AI-based urban traffic management systems, particularly as cities worldwide seek to reduce congestion, improve air quality and support smarter mobility infrastructure.

Growing Role of AI in Transport Infrastructure

Artificial intelligence is playing an increasingly important role across the highways and transport sectors, particularly in areas such as:

• Intelligent traffic signal control
• Predictive congestion management
• Connected vehicle infrastructure
• Air quality optimisation
• Smart city transport systems

AI-powered traffic management platforms are increasingly viewed as a critical tool in helping authorities maximise network efficiency without relying solely on physical road expansion.

Smart Mobility and Net Zero Objectives

Alongside congestion reduction, intelligent traffic management systems are also being explored as part of wider sustainability and net zero transport strategies.

By reducing idle traffic, improving vehicle flow and optimising signal timings, these systems have the potential to lower emissions and improve air quality in densely populated urban areas.

As UK and international cities continue investing in digital transport infrastructure, demand for adaptive, data-led traffic management technology is expected to increase significantly.