VTT and EEE Communications partner on black ice detector

EEE Innovations (EEE) and VTT Technical Research Centre (VTT) of Finland have launched a software-based solution that detects black ice which it claims can reduce fuel consumption by 20%. It is available for heavy vehicles but can also be used for private vehicles. The solution aims to detect slippery road conditions in real time and has also been piloted in an EU-level project. Data gathered from the vehicles is refined and sent out to other motorists. The driver guidance system can be installed as a
November 28, 2017 Read time: 2 mins

8651 EEE Innovations (EEE) and 814 VTT Technical Research Centre (VTT) of Finland have launched a software-based solution that detects black ice which it claims can reduce fuel consumption by 20%. It is available for heavy vehicles but can also be used for private vehicles.

The solution aims to detect slippery road conditions in real time and has also been piloted in an EU-level project.

Data gathered from the vehicles is refined and sent out to other motorists. The driver guidance system can be installed as a part of the software as well as independently, containing both the driving optimization and slipperiness detection components.

Jarmo Leino of EEE, said: “The driving optimization system we have developed is the only one capable of recognizing the driver’s input in economical driving, taking also into account factors independent of the driver, such as weather conditions, traffic jams and vehicle-related differences.”

Raine Hautala, principal scientist of VTT, said: “The pilot project indicates that with the system, savings up to 20% in fuel consumption can be reached, in addition to improved road safety.”

Detection, Monitoring & Machine Vision

Related Content

  • March 28, 2018
    US DOTs introduce measures to stop wrong-way driving
    Wrong-way driving (WWD) is a remarkably innocuous term for incidents that all too often cause some of the worst accidents that emergency services have to deal with. Several US states are now taking steps to minimise the problem, as Alan Dron finds out. You’re driving down a highway at night when you see approaching headlights. You initially assume they are merely those of an oncoming car on the opposite carriageway. It’s only when they are within 200 yards or so that you realise that the other driver is in
    Read More
  • October 22, 2018
    Kapsch TrafficCom: 'The city is not made for cars'
    Traffic can be a really big challenge. When you’re stuck, you’re stuck. Everything comes to a standstill. But Alexander Lewald describes how existing infrastructures can be used more efficiently and how demand can be managed. A few figures to start with: in Los Angeles, the average driver spends 102 hours a year in traffic – that’s more than four days. This figure is 91 hours in Moscow and New York, 74 in London, 69 in Paris, 51 hours in Munich and still 40 hours in Vienna. Traffic is what causes
    Read More
  • May 14, 2018
    Lyft, Uber have mixed impact on San Fran mobility
    The extent to which ride-hailing has become a real force in the mobility landscape of San Francisco is great for consumers – but there are downsides, a report finds. Andrew Stone takes a look. Uber and Lyft, the two major ride-hailing platforms in San Francisco, are out-competing local cab firms in many ways - and are firmly established as a significant part of the daily mobility mix there, a recent study reveals. Researchers mined publicly-available data derived from the application programming interface
    Read More
  • August 10, 2020
    Lufft sensors help German smart city
    Using data can increase efficiency. Jerg Theurer of Mhascaro explains how one German town is becoming a smart city – with some help from Lufft sensors in a winter roads project
    Read More

Highlighted Content