Flow demonstrates FlowControl car data platform

Road operators seeking to make greater use of floating car data may want to talk to the Flow traffic intelligence agency. Flow has introduced FlowControl, claimed to be a unique software platform for incorporating floating car data with information from more traditional traffic monitoring devices.
October 7, 2015 Read time: 2 mins

Road operators seeking to make greater use of floating car data may want to talk to the 8243 Flow traffic intelligence agency. Flow has introduced FlowControl, claimed to be a unique software platform for incorporating floating car data with information from more traditional traffic monitoring devices.

“We have seen, of course, evolution of the traffic management market using sensors, but now there is also greater availability of floating car data – information from connected devices in vehicles,” says Flow’s chief executive officer Philip Taillieu.

“Highway operators are tending to struggle with incorporation of this new data into their existing traffic analysis and control systems. We are helping with supply of FlowControl, which is effectively ‘middleware’ based on algorithms for fusing conventional traffic information with floating car data.

FlowControl is being promoted as a single software platform for four different principal applications – parking and traffic management, ‘intelligent’ enforcement and mobility apps. The company gives a long list of specific services under these main headings that can be supported using FlowControl, including real time parking availability and traffic information and travel times.

The software can be used as a standalone platform, or as a component or module of a wider ITS system, according to Taillieu. FlowControl has been developed to open standards such as Datex or others depending on the particular country in which the software is being used.

“The key outcome, we believe, is the breaking down of walls that have built up between traffic management as a niche market, and the software of in-vehicle connected devices,” Taillieu says.

For more information on companies in this article

Related Content

  • Flexibility, interoperability is key to future traffic management
    February 3, 2012
    Jon Taylor of Faber Maunsell and Tabatha Bailey of Transport for London describe how an unusual mix of traffic practitioners, researchers and industry are working together to build new tools for the future. As we face higher expectations for managing congestion from both citizens and politicians, and as more and more data is becoming available from new sources, our traffic management challenge is changing.
    Read More
  • What's next for traffic management and data collection?
    January 26, 2012
    As the technologies and stakeholders in traffic management evolve, what can we expect to see happening in the coming years? For many, the conversation of the moment is just how, and how far, the newer technologies and services provided principally by the private sector should be allowed to intrude into the realms of traffic management.
    Read More
  • Telegra tackle integrated corridor management
    March 29, 2017
    Coordination is the key to successful integrated corridor management, argues Telegra’s chief operating officer, Branko Glad. The Centre for Economics and Business Research (CEBR) has calculated that in 2013, traffic congestion cost American citizens $124 billion ($78 billion of wasted time and fuel and $45 billion in indirect losses). In 2030 this figure is predicted to rise to $186 billion.
    Read More
  • Getting more for less from traffic data
    August 15, 2012
    Collection of traffic and transit data has grown significantly, combining with advances in connectivity and computational modelling to good effect. Desire to do more with less – to make budgets go further – has helped create a boom in the collection and study of traffic and transport data. Studies are becoming longer, greater in number and further in-depth as more intelligence is sought, plus, transportation agencies are looking to make processes of data collection less costly, or more efficient.
    Read More

Highlighted Content