Simplify Pavement Management with Lane-Specific, Heavy Vehicle Data
Understanding the flow of traffic on our roads is essential for ensuring safety, measuring the impact of developments and planning for future infrastructure. However, recognising the patterns and impact of heavy vehicles is particularly crucial for prioritising road maintenance and simplifying pavement management.
MetroCount is the world leader in providing detailed individual vehicle data. All our monitoring solutions record information on speed, volume and vehicle class, however, we go the extra mile and also supply:
- mass estimations for heavy vehicles using Equivalent Standard Axles (ESAs),
- lane-specific information collected both on a permanent or temporary basis.
These details are invaluable for calculating when road resurfacing and other works are required on specific roads or lanes.
Equivalent Standard Axle Data
It is vital to understand the estimated mass of vehicles in order to determine the level of road surface damage caused. The industry uses ESAs to determine “the number of repetitions of a standard axle that are equivalent in damaging effect on a pavement for a given axle group type and loading” (VicRoads, Selection and Design of Pavements and Surfaces, May 2018).
When analysing data, MetroCount Traffic Executive® software (MTE) provides the option to include extra information relating to raw axles, single, twin steer, double, triple and quad+ axles in some reports. See below Class Speed Matrix report displaying information from the curb-side lane (lane 1) of a dual carriageway in Perth:
When the truck statistics box is checked, the heavy vehicle axle statistics and ESA values appear.
Estimated Mass of Heavy Vehicles
The Estimated Axle Loading with Kinetic Energy report from MTE also provides details on estimated freight mass, estimated gross mass and number of equivalent standard axles.
All this extra information helps road managers make better decisions regarding when and where to plan for road maintenance works.
A dataset for each lane of traffic
Another way that helps pavement managers prioritise road works is being able to visualise the volume and type of vehicles travelling in unique lanes. When vehicles, heavy vehicles in particular, tend to prefer using certain lanes over others, resurfacing work may only need to be carried out on these lanes.
In the below table you can see the massive difference in vehicle volumes travelling on the interior lane (lane 2) of the same Perth dual carriageway as above, in the same time period.
Lane 2 records a measly 77,836 vehicles as opposed to the 248,286 vehicles travelling in lane 1. Many of the vehicles in lane 1 are also heavy vehicles restricted to travel in the left lane by law, but inflicting much higher levels of pavement degeneration.
MetroCount offers a variety of ways to gather lane-specific data like this in order to guide pavement management decisions.
Lane-specific monitoring with portable technology
The RoadPod® VT4 is a portable solution that simultaneously collects data from two unidirectional lanes. The technology uses easy-to-install rubber tubes as sensors, providing an accurate dataset for each lane of traffic.
Data includes axle-based classification for over 12 classes. A combination of this technology can be used to effectively monitor 8 and more lanes of traffic depending on the site.
Lane-specific monitoring with permanently embedded technology
We provide two options for collecting lane-by-lane data, 24/7 that provide extra truck statistics. Both technologies provide a unique dataset for every lane of traffic:
- The RoadPod® VL 5810 loop counter provides volume, speed and length-based classification for each lane of traffic. It is a great solution when light, medium or heavy vehicle classes are required. It can be easily retrofitted to existing loops in the road. This can save time and money during the installation process.
- The RoadPod® VP piezoelectric counter provides volume, speed and extremely detailed axle-based classification. This system provides the most in-depth data per lane, with long-lasting sensors that are perfect for monitoring seasonal trends and the year-on-year growth of traffic.
Simplifying pavement management with lane-specific data
Combining the ability to determine ESAs and compare data from different traffic lanes facilitates pavement management works and can save valuable resources in the long run.
Get in touch if you’d like to know more!