Drive with the Flo

Flo, the driving app launched by Dutch software developer Decos, gives drivers real-time feedback that the company says helps them be safer drivers and save money on fuel and maintenance costs in the process. During each trip, Flo awards points for good driving, such as smooth acceleration and steady speed and deducts points for poor driving, including hard braking and driving too fast around corners. The app gives real-time audio and visual feedback while driving and every trip is automatically saved fo
November 21, 2014 Read time: 1 min
Flo, the driving app launched by Dutch software developer Decos, gives drivers real-time feedback that the company says helps them be safer drivers and save money on fuel and maintenance costs in the process.

During each trip, Flo awards points for good driving, such as smooth acceleration and steady speed and deducts points for poor driving, including hard braking and driving too fast around corners. The app gives real-time audio and visual feedback while driving and every trip is automatically saved for later review in 3D, so the user can see what they did right and what needs improvement. Score, distance, travel time and route are saved for each trip.

Flo can be installed on 1812 Android smartphones running Android 4.1 and higher. The launch of an app for iPhone is planned in the first quarter of 2015.
Location Based Systems Urban Traffic Control

For more information on companies in this article

Related Content

  • Machine vision develops closer traffic ties
    January 11, 2013
    Specifiers and buyers of camera technology in the transportation sector know what they need and are seeking innovative solutions. Over the following pages, Jason Barnes examines the latest developments with experts on machine vision technology. Transplanting the very high-performance camera technology used in machine vision from tightly controlled production management environments into those where highly variable conditions are common requires some careful thinking and not a little additional effort. Mach
    Read More
  • Daimler’s double take sees machine vision move in-vehicle
    December 13, 2013
    Jason Barnes looks at Daimler’s Intelligent Drive programme to consider how machine vision has advanced the state of the art of vision-based in-vehicle systems. Traditionally, radar was the in-vehicle Driver Assistance System (DAS) technology of choice, particularly for applications such as adaptive cruise control and pre-crash warning generation. Although vision-based technology has made greater inroads more recently, it is not a case of ‘one sensor wins’. Radar and vision are complementary and redundancy
    Read More
  • Transport and traffic management for major sporting events
    February 2, 2012
    Maurizio Tomassini, Isis, and Monica Giannini, Pluservice, detail the STADIUM project, which is intended to provide those responsible for planning major international events with a blueprint for success
    Read More
  • Oxford University develops self-driving car
    February 18, 2013
    Oxford University scientists have developed a self-driving car system that can be installed in existing cars and can cope with snow, rain and other weather conditions. Developed by a team led by Professor Paul Newman at Oxford University, the new system has been installed in a Nissan Leaf electric car and tested on private roads around the university. The car will halt for pedestrians, and could take over the tedious parts of driving such as negotiating traffic jams or regular commutes. The car alerts the
    Read More

Highlighted Content