Data Science


Leveraging all available data assets to help solve complex business problems
 

As an Intelligent Transport Systems (ITS) solutions provider, Transmax offers STREAMS customers a range of services to enhance the sustainability and performance of customers’ transport networks. This includes services available through the company’s data science team.

Our team of data scientists specialise in identifying, prioritising and undertaking a range of research and analytical activities leveraging all available data assets to help solve complex business problems through the development and application of advanced statistical modelling techniques.


Areas of expertise


Data mining and statistical analysis

Examples Include:

  • Determining confidence measures in traffic related data by providing statistics including significance testing, histograms, boxplots and various other charts
  • Estimating vehicle detector health based on speed, volume and occupancy measures and traffic related constraints
  • Assessing intersection timing plans by comparing distribution of actual phase times with plan phase times
  • Determining typical day statistics for single detectors or groups of detectors so that atypical days can be more easily identified

Visualisations


Examples include:

  • DeterUsing Power BI / Tableau to create information rich dashboards
  • Interactive web-based visualisations
  • Excel related visualisations with macro backend processingining typical day statistics for single detectors or groups of detectors so that atypical days can be more easily identified

Big Data


Examples include:

  • Aggregating large traffic related data sets to various time intervals based on 20-second data
  • Visualising large aggregated data sets in various formats using cloud-based tools

Machine Learning


Examples include:

  • Cluster analysis to identify time-of-day traffic patterns
  • Image recognition to determine speed limit signs by location using Google Maps
  • Predict SVO time series variables based on historical data

Download the Transmax Data Science Capability Statement to read how Transmax used data science to analyse the state of the STREAMS Queue Detection algorithm.