Vivacity Labs and DOLL partner to showcase AI capabilities

By partnering with Vivacity Labs, Danish Outdoor Living Lab (DOLL) will demonstrate Vivacity’s sensors and the power of intelligent technology for travel

This new partnership between Vivacity Labs and DOLL will illustrate how Vivacity’s AI-powered traffic sensors help make cities smarter, safer and more sustainable.

DOLL is Europes largest test field, showroom and innovation hub. It addresses the needs of emerging smart and connected cities and offers a platform for companies to test and demonstrate the latest smart city services.

It also supports international manufacturers, municipalities, public decision-makers and knowledge institutions.

James Hill, International Sales Director at Vivacity Labs, said: “Sustainable travel and road safety are crucial components to smart city development, and our partnership with DOLL Living Lab is a fantastic opportunity for us to demonstrate how our intelligent sensors are supporting such initiatives.”

“Being able to test new tech in testbeds and simulated environments offers a key means in developing its capabilities and showcasing them to a variety of decision-makers and organisations, and this enables its successful implementation into real-world situations. This engagement is a testament to our work in supporting strategic decisions to optimise transport networks and improve urban infrastructure across the globe,” he continued.

Utilising AI and ML to improve traffic management

Vivacity’s sensors can be used in real-world settings to support initiatives including active travel schemes, congestion management, improving air quality and road safety.

To do this, the sensors use artificial intelligence (AI) and machine learning (ML) to capture accurate, detailed and anonymous data 24/7 on transport modes, traffic flow and travel patterns.

By installing these sensors in DOLL’s living lab, the pair hope to showcase the significant benefits this technology has the potential to bring to cities.

“With projects, events, and the DOLL visitor centre, we offer a neutral matchmaking platform that helps accelerate the development of livable, sustainable and resource-efficient communities through the means of technology. We are very excited to host Vivacity’s technology in our innovation playground and to demonstrate the importance of AI-powered traffic sensors,” said Teddy Sibbern Axelsen, Director of DOLL.

DOLL has more than 400 acres of living lab space and over 500 visits. With this, it provides a unique opportunity for companies that are developing solutions for smart and connected cities.

It focuses on innovation in areas such as:

  • Intelligent traffic systems
  • Smart mobility
  • Outdoor lighting
  • Environmental monitoring
  • Waste control
  • Digital infrastructure

Vivacity’s plans for the future

Recently, Vivacity Labs also outlined its prospects for the future. The company are planning to invest heavily into further research to support its anonymous data insights. This is with a strong emphasis on multi-modal control on optimisation for a wide range of scenarios.

The post said: “We will continue using delay as the main metric for performance evaluation of vehicle congestion reduction while adding stopped time for pedestrians and cyclists as a second measure later this year.”

Additionally, Vivacity has promised it will continue to look at independent parties to assess its products to ensure the company’s performance remains high.


Featured Articles

Need for responsible AI in some of the world’s largest banks

Research shows one-third of North America and Europe’s largest banks lack transparency and are not publicly reporting on their AI development

Lenovo: Employees prefer mix of AI and human IT support

New Lenovo survey shows 91% of employees believe they would be more productive when their IT issues at work are resolved quickly and effectively

Kyndryl’s Data and AI Console to simplify data management

Data-driven solution expands and increases observability and insights, while enhanced data governance helps identify irregularities and threats

Deep neural networks still struggling to match human vision

Data & Analytics

Metaverse destined to become an impossible, dangerous place


Clever coders lead the way as Microsoft launches 365 Copilot

AI Applications