Skip to main content

Reducing fuel consumption and CO2 with vehicle tracking

Satellite vehicle tracking technology from Isotrak is helping Skanska UK’s utilities business save on fuel and reduce emissions. Using the real-time system to track the company’s mobile workforce on the road enables efficient vehicle management and provides detailed reporting on individual driving styles for each driver. This has enabled the company to manage its fleet and drivers better by helping them to comply with its environmental policy and duty of care programme. According to Isotrak, the solution c
February 6, 2013 Read time: 2 mins
Satellite vehicle tracking technology from 7137 Isotrak is helping 7136 Skanska UK’s utilities business save on fuel and reduce emissions.  Using the real-time system to track the company’s mobile workforce on the road enables efficient vehicle management and provides detailed reporting on individual driving styles for each driver. This has enabled the company to manage its fleet and drivers better by helping them to comply with its environmental policy and duty of care programme.

According to Isotrak, the solution complements driver-training initiatives through the capture and presentation of vehicle telemetry, relevant to driver behaviour. This information is captured in real time, date and time stamped and is accurate. Through the identification of inefficient and unsafe driver behaviour, Isotrak provides an objective assessment of road safety and allows a targeted approach to driver training and education.

Boyd Neal, business manager at Skanska said, “We are wholly committed to our green agenda and have found that by implementing Isotrak’s tracking and telematics system we have been able to keep in line with our fleet company policy, significantly reducing fuel consumption and CO2 within the business, while instilling safe and efficient driving skills into our work force.”
 
Isotrak’s KPI (key performance indicator) focused solution allows Skanska to configure the system to match its own business objectives and make operational efficiencies and reduce CO2 emissions. This enables monitoring of driver behaviour and gives detailed information, including maximum speed over a given period, harsh or dangerous acceleration, heavy braking and time spent at dangerous speeds. The information can then be used to identify areas where driver training is necessary and allow regular and ongoing coaching of drivers. 

Related Content

  • January 23, 2012
    Reducing transport energy use with real time travel information
    The In-Time project is looking at the effect that multi-modal real-time traveller information services can have of reducing transport's energy consumption levels. By Martin Böhm, AustriaTech GmbH. Around the world, significant research and development effort is currently directed towards reducing energy consumption by addressing those areas where the biggest savings can be expected. European studies have shown that the transport sector has the potential to reduce its energy consumption by up to 26 per cent
  • March 16, 2015
    Report analyses multiple ITS projects to highlight cost and benefits
    Every year in America cost benefit analysis is carried out on dozens of ITS installations and pilot studies and the findings, along with the lessons learned, are entered into the Department of Transportation’s (USDOT’s) web-based ITS Knowledge Resources database. This database holds more than 1,600 reports and periodically the USDOT reviews the material on file to draw conclusions from this wider body of evidence. It has just published one such review ITS Benefits, Costs, and Lessons Learned: 2014 Update Re
  • October 27, 2016
    The downside of driverless vehicles
    Driverless cars will have a detrimental effect on congestion and security while the road safety benefits can be achieved sooner and cheaper using ADAS, argues Colin Sowman. Many Governments are consulting about the introduction of driverless vehicles and even running trials. As 70% or 80% of crashes are caused by human error, the promise of a crash-free future of driverless, self-driving or autonomous vehicles (call them what you will) is alluring, as are the claims of reduced congestion and lower emissions
  • April 1, 2015
    MIT study combines traffic data for smarter signal timings
    Researchers at Massachusetts Institute of Technology (MIT) have found a method of combining vehicle-level data with less precise, but more comprehensive, city-level data on traffic patterns to produce better information than current systems provide. They claim this reduce delays, improve efficiency, and reduce emissions. The new findings are reported in a pair of papers by assistant professor of civil and environmental engineering Carolina Osorio and alumna Kanchana Nanduri, published in the journals Tra