Skip to main content

New Zealand to trial mobile road weather data acquisition

From September 2016, MetService and the New Zealand Transport Agency will commence a road weather mobile data acquisition trial, in conjunction with road contractors Fulton Hogan and Downer. The aim of the trial is to provide MetService, the Transport Agency, road contractors and the travelling public with pre-warning of challenging and dangerous driving conditions or potential road closures during severe weather. The six-month trial follows a pilot sensor-assessment process and aims to expand road
August 16, 2016 Read time: 2 mins
From September 2016, MetService and the 6296 New Zealand Transport Agency will commence a road weather mobile data acquisition trial, in conjunction with road contractors Fulton Hogan and Downer.
 
The aim of the trial is to provide MetService, the Transport Agency, road contractors and the travelling public with pre-warning of challenging and dangerous driving conditions or potential road closures during severe weather.

The six-month trial follows a pilot sensor-assessment process and aims to expand road weather observation assets by evaluating the use of a range of vehicle-mounted sensors for monitoring road weather conditions across the network.

As the vehicles travel the road network, they transmit real-time data continuously to provide observations of road and air temperature, rain, snow, slush, water film height, ice content, humidity and dew point temperature. Some of the sensors are capable of taking measurements up to 100 times per second. Data can be viewed on smartphones connected to the sensors by Bluetooth and transmitted on cellular networks for subsequent analysis.
 
The data collected will deliver key insights for improving road weather forecasting and road safety in locations for which there is currently no weather information available.
 
MetService says this technology will help enhance road weather modelling systems and provide access to a wide range of previously unavailable data to assist with planning and operational activities.
 
Drivers of the sensor vehicles have immediate access to data to inform them of dangerous driving conditions, and fleet operators will have better quality, more timely information for fleet management.
 
Data from mobile sensors will complement information from MetService’s existing road weather station network, which covers over 40 state highway trouble spots.

For more information on companies in this article

Related Content

  • InnoSenT sizes up ITR-3800
    December 5, 2022
    Small radar system is designed for intersection management and traffic monitoring
  • New technology trials to transform bus safety in London
    August 16, 2017
    Transport for London has announced plans to test new safety technology on London buses. Automatic braking and audible warning systems will be trialled alongside measures including new mirrors to improve the driver’s vision. All the new technology will receive a completely independent trial at the Transport Research Laboratory, whose engineers and technical specialists have been appointed to work with TfL, bus manufacturers and operators to trial a range of innovative safety measures.
  • Lidar: beginning to see the light
    March 14, 2022
    Lidar feels like a technology whose time has come – but why now? Adam Hill talks to manufacturers, vendors and system integrators in the sector to assess the state of play and to find out what comes next
  • LeddarTech receives Frost & Sullivan Product Innovation award
    January 8, 2016
    Based on its recent analysis of the advanced driver assistance systems (ADAS) market, Frost & Sullivan has awarded LeddarTech the 2016 North American Frost & Sullivan Award for Product Innovation.The company markets an innovative time-of-flight optical detection and ranging technology, Leddar, which brings many new capabilities to the table. These include short- and long-range detection capabilities for a variety of automotive and transportation applications, narrow to wide fields of view, low sensitivity t