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

  • April 16, 2014
    Mobile transport information across the Finnish–Russian border
    The smart transport corridor between Helsinki in Finland and St Petersburg in Russia will bring new services for passengers, car drivers and public transport. Development of the Vedia multi-service concept, led by VTT Technical Research Centre of Finland and Vediafi, unites newly opened mobile services that will result in smoother passenger traffic across the Finnish–Russian border and enhance passenger experience and traffic safety. Vedia multi-service is a key element of the Finnish–Russian intelligent
    Read More
  • June 25, 2018
    VTT’s robot car parks autonomously
    VTT Technical Research Centre of Finland’s robot car Marilyn is parking autonomously - 100m away from its driver. The trial in Tampere uses the Internet of Things (IoT) and is expected to allow vehicles to park closer together without fear of collisions at airports and shopping centres. Johan Scholliers, project manager at VTT, says the technology will also help reduce congestion in parking areas.
    Read More
  • January 23, 2012
    Reducing transport energy use with real time travel information
    The In-Time project is looking at the effect that multi-modal real-time traveller information services can have of reducing transport's energy consumption levels. By Martin Böhm, AustriaTech GmbH. Around the world, significant research and development effort is currently directed towards reducing energy consumption by addressing those areas where the biggest savings can be expected. European studies have shown that the transport sector has the potential to reduce its energy consumption by up to 26 per cent
    Read More
  • January 26, 2018
    Jenoptik uses sensor fusion to avoid monitoring confusion
    Jenoptik’s Uwe Urban looks at the advantages of ‘sensor fusion’ for the ITS sector. When considering the ideal sensing and monitoring system to enable the ITS sector to deliver improvements in mobility and road safety, for general policing security and border protection, we have to think beyond radar-base systems or laser scanners. What is needed today are solutions for detecting and tracking vehicles while recording evidence to deacide if any action is necessary. There is no sole sensor capable of
    Read More

Highlighted Content