Skip to main content

Smart Cities technology aims to identify dangerous infrastructure-related driving areas

Scope Technologies and specialist technology Riga Technical University (RTU), Latvia, have partnered to develop Smart Cities technology which they say will help municipalities and major cities identify dangerous infrastructure-related driving areas. The technology collects billions of data sets per day through a range of telemetry, including comprehensive geographical and road infrastructure data in conjunction with traffic, weather and road accident data. By behavioural elements in the way people drive, tr
May 16, 2017 Read time: 2 mins
Scope Technologies and specialist technology Riga Technical University (RTU), Latvia, have partnered to develop Smart Cities technology which they say will help municipalities and major cities identify dangerous infrastructure-related driving areas.

 
The technology collects billions of data sets per day through a range of telemetry, including comprehensive geographical and road infrastructure data in conjunction with traffic, weather and road accident data.
 
By behavioural elements in the way people drive, traffic congestion and infrastructure like traffic lights, and looking at the combination between ambience, infrastructure and driver behaviour patterns, it enables scoring to categorise high risk motor areas, such as junctions,  in any given city.
 
The developers say the technology can capture and translate this data for multiple cities across the world, especially those across Europe, US, Asia and Latin America and is applicable to not only those with high accident rates but municipalities with a need to improve driving infrastructure.
 
Smart Cities is the first of two products being developed as part of the partnership between Scope Technologies and RTU. The two new partners have combined Scope’s telematics and big data mining capability and geographical data with RTU’s world-leading technology research and modelling analysis to develop products that will drastically improve driver safety.

Related Content

  • November 23, 2018
    Cubic: predictive analytics is putting fortune tellers out of business
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a
  • January 27, 2012
    Schneider Electric to acquire Telvent for $2 billion
    Schneider Electric has signed a definitive agreement with Telvent GIT to make a cash tender offer for all of Telvent's shares at a price of $40 per share, which represents a premium of 36% to Telvent's average share price over the last 3 months.
  • November 15, 2012
    M2M smart parking solution
    Spanish telecommunications provider Telefónica and US-headquartered smart parking solutions supplier Streetline have joined forces to offer telematics-enabled smart parking services that allow cities to optimise parking management, while reducing vehicle traffic. The companies have reached an agreement to jointly market M2M (machine to machine) products designed to target the growing smart parking market, initially in Europe and Latin America. The solution will be part of the Telefónica Smart City platform
  • May 6, 2015
    Arup’s vision of urban mobility in 2050
    Arup’s vision of the Future of Highways considers a wide range of factors that will impact on mobility towards the middle of the century. In its consideration of the Future of Highways through to 2050, international consultants Arup has taken a broad and pragmatic view of where society is heading and the effects that will have on the transport requirements. In terms of major drivers it not only cites