The objective of the trial is to test the hypotheses that:

  • the roughness of Principal Shared Paths (PSPs) will be an accurate and quantifiable way of verifying the condition of PSPs
  • a roughness assessment can be conducted to an appropriate level of accuracy using the accelerometers in a mobile phone via an app such as RoadRoid attached to a mobility scooter
  • conducting a roughness assessment will be a viable alternative to conducting visual assessments (essentially that it will produce results that can be relied on at an acceptable cost).

This will be tested by hiring a mobility scooter and attaching a mobile phone running RoadRoid to obtain roughness data. The data can then be compared with previous visual inspection reports to determine whether roughness can be used as a proxy for condition.

Key deliverables

  • Data pickup using a mobility scooter and phone with RoadRoid app
  • Conversion from lat/long co-ordinates to SLK referencing system
  • Evaluation of effectiveness using roughness data from RoadRoid as a condition assessment. Evaluation likely to consider:
    • Previous Visual Condition Assessment (data around 12 months old)
    • Roughness data from RoadRoid
    • Alignment of data taken on the same PSPs in different directions
    • Photos taken from RoadRoid

 

Further extension activities to be explored as/if appropriate.

Depending on the candidate’s skillset, possible extensions include but are not limited to: stochastic modelling for PSP pavement deterioration, computer vision models for detecting damages caused by tree roots, comparisons with raw data from accelerometers, optimisation of maintenance schedules and self-drive robot for data collection.