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

  • Automotive players targeting corporate mobility
    April 14, 2015
    Offering services that facilitate an integrated door-to-door business travel management solution is one of the main focus areas for growth and investment in 2015 in the automotive industry, according to Frost & Sullivan. With the business travel market worth US$1.3 trillion (GBTA), there is an increasing trend towards companies using online booking tools and cloud based services to plan, book, and expense/account business trips. Automotive market players are working to have their share of the future corpora
    Read More
  • Microgrids & the new power generation
    August 31, 2021
    Public transportation agencies are turning to microgrids to provide critical resilience in the event of local and regional power interruptions. Gordon Feller looks at projects in Maryland, New Jersey and Massachusetts
    Read More
  • Manchester seeks smart but not selective transport solutions
    January 25, 2018
    Smarter transport relies on better communications both with travellers and between transport providers. Andrew Williams reports. Inrix’s prediction that the cost of traffic congestion will rise by 63% to £21bn per year by 2030 clearly illustrates that, in addition to the ongoing inconvenience and inefficiency, ongoing gridlock is a significant drain on the economy. It is against this backdrop that a Cisco-led consortium has launched CitySpire, a smart transport programme that uses location-based services a
    Read More
  • Manchester seeks smart but not selective transport solutions
    January 25, 2018
    Smarter transport relies on better communications both with travellers and between transport providers. Andrew Williams reports. Inrix’s prediction that the cost of traffic congestion will rise by 63% to £21bn per year by 2030 clearly illustrates that, in addition to the ongoing inconvenience and inefficiency, ongoing gridlock is a significant drain on the economy. It is against this backdrop that a Cisco-led consortium has launched CitySpire, a smart transport programme that uses location-based services a
    Read More

Highlighted Content