To support our statistical survey design work with PTV, we developed an R algorithm that combines public transport timetables, spatial transport network data and statistical sampling rules to automate the process of allocating shifts for survey field data collectors.
Read MoreWe designed and constructed an unsupervised clustering algorithm that classified and clustered smart meter data into 3+ phases. The clustering was based on a custom distance metric we designed, and was implemented using standard libraries in the R programming environment.
Read MoreWe undertook a research and development project to assess the feasibility of automated monitoring of flight paths for raptors at wind farm sites. The large size of the area and the small size of the target object posed a unique computer vision problem.
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