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

  • Machine vision needs standards to fulfil ITS demands
    May 28, 2014
    No-one should expect the enabling qualities of machine vision to come free of charge but Jason Barnes finds there is still much that ITS stakeholders can do to help reduce costs. After many years of application in high-end solutions for the enforcement and tolling sectors, machine vision is gaining traction in more general areas of traffic management. Nevertheless, those OEMs producing transport-oriented solutions which incorporate machine vision and looking to increase the technology’s share of the ITS mar
  • Singapore aims to set MaaS benchmark
    September 26, 2019
    Delegates at this year’s ITS World Congress in Singapore will be able to experience Mobility as a Service for themselves in the form of MobilityX’s Zipster app
  • Siemens making complex tasks simple
    February 19, 2018
    Siemens' presence at Intertraffic Amsterdam always involves an array of technologies and systems across a broad range of traffic and transport disciplines and this year will be no exception. As the company points out, it is digitalisation that revolutionises traffic. A good example is the integration of the Internet of Things/Traffic (IoT) in urban infrastructure which is gaining traction and, in the future, it will be the digital presence that counts. Siemens is pioneering the ‘mobility revolution’ with
  • How public transit improves quality of life
    June 29, 2022
    There are various reasons why Mobility as a Service is catching on more in Europe than the US – but there are still other ways in which access to mobility can be improved across the states, finds Gordon Feller