Skip to main content

UK moves to disclose road data to app makers

The UK is proposing to share road network data, including roadworks, with makers of mobile apps to warn drivers of potential congestion months in advance. The information for navigational apps powered by artificial intelligence would warn of planned changes to the road network, including work zone arrangements, which would enhance worker safety. Tech firms could soon get access to the necessary data thanks to a UK government review of legislation around Traffic Regulation Orders. The orders behind res
August 28, 2019 Read time: 2 mins
The review of Traffic Regulation Orders will support the government’s Future of Mobility Grand Challenge (photo courtesy of the UK government)
The UK is proposing to share road network data, including roadworks, with makers of mobile apps to warn drivers of potential congestion months in advance.


The information for navigational apps powered by artificial intelligence would warn of planned changes to the road network, including work zone arrangements, which would enhance worker safety.

Tech firms could soon get access to the necessary data thanks to a UK government review of legislation around Traffic Regulation Orders. The orders behind restrictions on the road network which allow for temporary roadworks or permanent changes to the road.

The announcement will help open up data, reducing congestion, pollution and frustration for road users, according to a statement by George Freeman, UK Minister for Future Transport.

“Working with organisations including local authorities and the connected and automated vehicle sector, the department will look at introducing legislation to make it easier to access data around the predicted 50,000 yearly road closures building on the government’s commitment to make travelling cleaner and greener, safer, easier and more reliable,” he said.

He said the review of the orders will support the government’s Future of Mobility Grand Challenge by considering whether current legislation is fit to maximise the potential of future technologies.

The government also noted that opening up Traffic Regulation Orders data could help with route planning systems for self-driving vehicles, “cementing the UK’s position as a world leader in developing self-driving vehicle technology”.

Related Content

  • AEM’s 2050 Vision winner combines road and rail
    March 9, 2017
    Five finalists for the Association of Equipment Manufacturer’s (AEM’s) Infrastructure Vision 2050 Challenge fought for the winning place in a live final, held at CONEXPO-CON/AGG’s Tech Experience zone. The finalists had to pitch their ideas to three judges in one of the white Tech Experience domes.
  • Highways England opts for warm mix asphalt
    August 26, 2021
    The company in charge of maintaining England’s strategic highways, including motorways and main roads, is officially shifting its preference towards using warm mix asphalt. Highways England lays out the case for its decision.*
  • Lindsay and Iteris partner to create smart work zones on US roads
    April 16, 2019
    Lindsay, a manufacturer of infrastructure equipment, and Iteris, a manufacturer of applied informatics for transportation, will together create smart work zones for US roadways. The companies said that their partnership supports the Federal Highway Administration’s (FHWA) Smarter Work Zone campaign to reduce traffic congestion and improve safety in work zones using intelligent transportation systems. There were 799 workzone-related fatalities in the US in 2017 – up 4.5% from their previous three-year
  • Road safety contract awarded in UK
    November 7, 2019
    An important road safety contract has been awarded in the UK. The Road Safety Foundation won the work to review how investments are prioritised to improve safety outcomes by Highways England (HE). This deal was awarded by the Office of Rail and Road (ORR). Under the terms of the contract the Foundation is to review how HE ranks the location and type of scheme to deliver. This will focus on how these decisions are influenced by HE’s key performance indicators. It will also analyse how HE takes account of