Skip to main content

ADLV 2017 predictions show fleets achieving more with big data

According to the ADLV’s (Association for Driving Licence Verification) 2017 predictions transport fleets will be using richer, bigger data more frequently to drive areas from compliance through to road safety The best practice frequency for compliance in licence checking by fleets has recently increased to twice a year, on average. Under the recently issued FORS Standard (Version 4.0) twice-yearly checks are now the minimum requirement. However, many larger fleets are now carrying out quarterly checks, e
January 31, 2017 Read time: 2 mins
According to the ADLV’s (Association for Driving Licence Verification) 2017 predictions transport fleets will be using richer, bigger data more frequently to drive areas from compliance through to road safety

The best practice frequency for compliance in licence checking by fleets has recently increased to twice a year, on average. Under the recently issued FORS Standard (Version 4.0) twice-yearly checks are now the minimum requirement. However, many larger fleets are now carrying out quarterly checks, ensuring that the data that fleets are now working with is almost constantly updated and therefore of a much higher quality.

Early this year, CPC and tachometer data will become available alongside standard driving licence data. The ADLV is already working on a number of additional data sets to combine with driving licence and tachometer data.

ADLV data will play its part in what it says will be more use of big data to drive fleet analytics in support of management decision making. Driving licence data is one of the essential elements here in terms of setting the parameters for risk profiling and management for all businesses whose employees drive on their behalf. It is also the starting point to begin to profile the driver pool with a view to encouraging better driving styles and habits.

With the wider acceptance of black box or mobile-based telematics solutions and the spread of connected vehicles into the fleet and grey fleet areas, ADLV believes there will be a greater emphasis on fleet business intelligence and driver data analysis. The information identified will drive fleet decision making as well as wider corporate and government policies on taxation, transport and the environment. It will also create a far richer more innovative data environment for fleet managers.

Over the course of the 2017 ADLV will be looking to work with a number of road safety organisations to identify how ‘Knowing Your Driver Better’ can boost road safety.

Related Content

  • Evolving Australia's truck weighing programme
    March 1, 2013
    Regulating heavy truck weight isn’t all about sensors in the road… this year marks a significant point in the progression of Australia’s Intelligent Access Programme as its administrators attempt to answer the scheme’s critics. Jon Masters reports. Australia’s Intelligent Access Programme (IAP), the country’s telematics-based system of reg­ulating movement of the heaviest vehicles, is now five years old. The IAP is administered by Transport Certification Australia (TCA) whose general manager for strategic d
  • Data goldmines offer rich pickings
    May 31, 2013
    Astronomical is not too grand a term to describe the current rate of growth in transportation-related data. Massive amounts of traffic related information, such as speed, volume, incidents and weather are being generated every second by road operators and users alike. Big data’ derives its name from the sheer amount and complexity of available raw data. Its potential value is starting to emerge among the intelligent transportation systems community. A gold rush is taking place to capture this value, with da
  • Camera technology a flexible and cost-effective option
    June 7, 2012
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti
  • Ford Mobility: analytics aids transport proactivity
    April 2, 2020
    Ford Mobility has demonstrated how data analytics can help implement London's transport strategy in areas such as traffic re-timing and in eliminating all road fatalities (Vision Zero) by 2041.