Road Vehicle Analytics
Currently deploying a research vehicle to collect road condition data for the entire state road networks. The project analyse the road data collected and interpret the road deterioration trend and the assignment of appropriate asset management strategy.
Area of science
Civil Engineering, Engineering
Systems used
Nimbus and Data Stores
Applications used
Jupyter Notebook, R, Python
Partner Institution: ARRB|
Project Code: RoadVehicleAnalytics
The Challenge
At 80 km/hr, a lot of data is produced by the research equipment. The challenge is to compare against established testing method which has a lower productivity.
The Solution
Through detailed field comparison, correlation between different devices can be established. The field data collected were analysed and graphed using the online computation power of Nimbus Openstack.
The Outcome
Using the multi-core virtual machine that is made available by Pawsey, research team located at different geographical locations can share and interpret the data.
The storage space also helps with handling the data flow.
List of Publications
Not available at this stage.
Figure 1. Ground sensor measurement comparison against traditional method
