Skip to main content

Parsons looking to the future – and helping to build it with iNET

Parsons will use the ITS America Annual Meeting Detroit to show how iNET is shaping the future of smart cities. The company will invite visitors to imagine what their morning commute might be like in the future. An autonomous vehicle picks you up, syncs with your mobile devices to determine where you need to be and when, calculates the best route, and places your order at the local coffee shop moments before stopping to pick it up along the way. This is the future of mobility, and Parsons will show how it
May 24, 2018 Read time: 2 mins
4089 Parsons will use the ITS America Annual Meeting Detroit to show how iNET is shaping the future of smart cities. The company will  invite visitors to imagine what their morning commute might be like in the future. An autonomous vehicle picks you up, syncs with your mobile devices to determine where you need to be and when, calculates the best route, and places your order at the local coffee shop moments before stopping to pick it up along the way. This is the future of mobility, and Parsons will show how it is helping to build it.


Parsons’ proprietary Intelligent NETworks (iNET) is a Smart Cities platform incorporating technologies which enable users to make actionable decisions. Visitors to the company’s booth will get a first-hand insight into innovative applications of iNET in use or coming soon. These include linking to connected and autonomous vehicles, analysing data, and translating it into meaningful information; making use of prediction, artificial intelligence (AI), and machine learning (ML) platforms to improve usability and decision making for Smart Cities agencies and citizens; and natural language-based 511 response that provides users with relevant, real-time information based on advanced AI capabilities and ML technologies, a cost-effective system that provides users with a superior experience compared to conventional 511 systems, and leverages natural language expertise rather than non-user, unfriendly interactive voice response systems.

Other features that will be covered include protecting physical/intellectual assets by creating active monitoring systems, as well as automated inspections/monitoring to predict when bridges need maintenance, allowing proactive maintenance prior to failure

As Parsons points out, iNET is the system of the future powering Smart Cities and enables transportation systems to deliver on the promise of improved mobility and quality of life.

Booth  725

For more information on companies in this article

Related Content

  • Data fusion from Valerann's Lanternn
    December 8, 2021
    Valerann has recently announced the launch of Lanternn by Valerann, an innovative intelligent traffic management solution.
  • Cubic’s director of mobile shares predictions for 2018
    December 22, 2017
    Robert Spogis, Cubic’s director of mobile shared his 2018 predictions on how the transport sector will be transformed through the adoption of a mobile infrastructure as its popularity grows and how transit apps will leverage AI/machine learning to provide more personalised commuter experiences. In addition, he estimated that mobile technology such as Near Field Communications and Bluetooth will provide simpler and more intuitive ticketing methods than traditional paper tickets.
  • Vision technology: the future in focus
    November 23, 2018
    Just a few years ago, terms such as ‘embedded’ and ‘polarisation’ were buzzwords. But now they are real and present examples of vision technology in action – and, Adam Hill finds, the ITS industry is waking up to a number of possible applications Every aspect of the intelligent transportation systems industry moves quickly – but developments in camera technology change with a rapidity which can appear quite bewildering. And with ITS providers constantly searching for an edge against fierce competitio
  • Affectiva and Nuance to develop humanised automotive assistant
    September 7, 2018
    US company Affectiva plans to develop a joint automotive assistant which detects driver distraction and drowsiness and voices recommendations such as navigating to a coffee shop. The solution is intended to align its dialogue to a motorist’s emotional state based on facial and verbal expressions. The integrated solution will combine the Affectiva Automotive AI solution with UK-based Nuance Communications’ Dragon Drive platform. Affectiva Automotive AI measures facial expressions and emotions such as anger