Skip to main content

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.”

Related Content

  • August 15, 2019
    USDoT’s NETT is welcome – but Toyota unhappy at V2X development
    The US Department of Transportation has announced a new council to champion emerging mobility tech – but one car manufacturer is currently not feeling that such support is everything it might be The announcement of a brand new body to champion autonomous vehicles (AVs) - among other innovations – is a potentially welcome development for mobility and transit providers. Elaine L. Chao, US secretary of transportation, says that the newly-created Non-Traditional and Emerging Transportation Technology (NETT)
  • June 17, 2019
    Here’s HD AV map prepared for 5G
    The emergence of 5G may not be necessary to provide a high-definition map for autonomous driving, says Matt Preyss from Here Technologies. Ben Spencer asks why 5G is a hot topic worldwide, with the potential for faster transfer of information eagerly awaited by those convinced that it will be a game-changer for the ITS industry. High-definition (HD) maps are essential to allow autonomous vehicles (AVs) to understand their environment, and operate safely within it in relation to other road users and p
  • June 29, 2018
    Atlanta ponders Mobility as a Service for seamless transit
    Drivers in Atlanta spent 70 hours in peak-time traffic jams last year. As the MaaS Market conference moves to the US’s fourth most congested city, we ask how Mobility as a Service can help. Colin Sowman winds down his window to listen. It is not by accident that ITS International’s first MaaS Market conference outside London is being hosted in Atlanta. The event is being supported by Georgia State Road & Tollway Authority and the City of Atlanta – and again not without a reason as metro Atlanta is looking
  • May 31, 2013
    Data goldmines offer rich pickings
    Astronomical is not too grand a term to describe the current rate of growth in transportation-related data. Massive amounts of traffic related information, such as speed, volume, incidents and weather are being generated every second by road operators and users alike. Big data’ derives its name from the sheer amount and complexity of available raw data. Its potential value is starting to emerge among the intelligent transportation systems community. A gold rush is taking place to capture this value, with da