Skip to main content

Smartlane software delivers competitive advantage

Competitive advantage is on offer from production of highly sophisticated demand forecasts by Smartlane Mobility Intelligence. The Smartlane software application uses machine learning algorithms and data architectures based on geospatial traffic data and vehicle fleet records.
October 8, 2015 Read time: 1 min

Competitive advantage is on offer from production of highly sophisticated demand forecasts by Smartlane Mobility Intelligence. The Smartlane software application uses machine learning algorithms and data architectures based on geospatial traffic data and vehicle fleet records.

Companies and organisations such as fleet and car or bike sharing operators, transport services, cities or researchers can receive powerful visualised forecasts – of vehicle and parking space occupancy or demand and fleet travel times, for example.

Smartlane draws its expertise from the founders’ experience of over 20 years working in data-driven transport research. The software uses innovative techniques to allow customers to run the application in-house.

Related Content

  • Autonomous vehicles, smart cities: moving beyond the hype
    February 21, 2018
    There is a lot of excited chatter about autonomous vehicles – but 2getthere’s Robbert Lohmann suggests we might need to take a step back and look realistically at what is achievable. You might be surprised that the chief commercial officer of a company delivering autonomous vehicles would begin an article with the suggestion that we need to get past the hype. And yet I do; because we have to, and urgently so. The hype prevents the development of autonomous vehicles that address actual transit needs. And
  • ITC provides agnostic traffic control software to Peachtree Corners
    September 26, 2023
    Intersection control specialist's 'Silicon Orchard' deployment is its first in the US
  • EU aims to turn ITS theory into practice
    May 18, 2016
    Gareth Horton explains how the European Commission’s Transport Research and Innovation Portal can help expedite research and turn theory into practice. Over the next few years Europe’s transport systems face a number of challenges, such as improving urban mobility while at the same time protecting population health and accommodating the accessibility needs of an ageing but active population.
  • Travel data critical to traffic management, traveller information
    January 31, 2012
    The ability to bundle together travel data from several discrete sources and fuse it to give a more comprehensive overview of events to stakeholders is the key aim of Viajeo, which is conducting trials in several cities around the world. Here, Ertico's Yanying Li writes about the project in more detail