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

  • January 26, 2012
    Urban mobility and demand management - the Mobility Credits Model
    Vito Marcolongo and Marco Troglia, Quaeryon srl describe the Mobility Credits Model, which is intended to combine inducements and fairness to improve mobility while reducing its more negative economic and environmental effects
  • January 25, 2012
    Is machine vision the future of enforcement?
    Leading automated enforcement system suppliers talk about how they see machine vision technology affecting the sector in the coming years
  • July 31, 2012
    Russia's high speed toll link - aims and opportunities
    Construction of a new toll link between the Russian capital of Moscow and the country's second-largest city, the port of St Petersburg, is due to start in 2012. Here, ITS International takes look at the project to date and the opportunities for foreign companies to get involved. The construction of a new toll link between the Russian capital Moscow and the country's second-largest city St Petersburg has a number of aims. It will lead to the creation of a high-speed vehicular link between the two which will
  • November 23, 2018
    Venkat Sumantran: ‘Smart cities are more hype than reality’
    For all the talk of smart cities, investment in systems lags significantly behind organic expansion in most places. Andrew Stone talks to Venkat Sumantran, who has been looking at how to create a coherent framework which could help authorities answer multiple mobility questions Two megatrends are posing unprecedented challenges to those trying to keep people moving around the world’s urban areas now - and in the years and decades to come. The first is rapid urbanisation. One in six of us lived in urban a