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

  • February 3, 2012
    Progress of ICT transport research projects
    Juhani Jääskeläinen, head of the ICT for Transport Unit, DG Information Society and Media, European Commission, details the results of Call 4 for research projects in ICT for transport. Since the closure of the call and evaluation process during the summer of last year the European Commission (EC) has been negotiating and signing contracts with projects which were selected from proposals submitted to Call 4 of the 7th Framework Programme (FP7) in the area of Information and Communication Technology (ICT) fo
  • May 19, 2014
    Sensor-based car parking, foldable container honoured at IRF awards
    Xerox and Holland Container Innovations (HCI) are the joint winners of the 2014 Promising Innovation in Transport Award, awarded by the International Transport Forum at the OECD, an intergovernmental organisation for the transport sector with 54 member countries. Xerox receives the award for its Merge system, a city-wide sensor-based, smart parking solution that reduces traffic and congestion through guided parking with demand-based pricing. HCI receives the award for their 4FOLD ISO-certified foldabl
  • October 28, 2019
    C/AVs could mean cheaper roads
    The safety benefits of C/AVs have long been promoted – but research suggests they should also contribute to cheaper roads. David Crawford investigates the potential benefits in infrastructure costs Building narrower freeway lanes to accommodate the enhanced route-tracking capabilities of connected and autonomous vehicles (C/AVs), running in platoon conditions, could result in cost savings of £0.5 million (€0.56 million or US$6.5 million) for every km of road length built. Such benefits could be secur
  • March 15, 2019
    Cost Benefit: Utah traffic light scheme pays dividends
    A traffic signal control scheme in Utah is being taken up by other US authorities. David Crawford finds out how the Beehive State is leading the way in DoT and driver savings Growing numbers of US state departments of transportation (DoTs) and their road users are gaining real financial benefits from an advanced approach to traffic signal monitoring recently developed in Utah. Central to the system is its use of automated traffic signal performance measures (ATSPM) technology, brought in to improve th