Big data for strategic transport planning
This project is an exploratory study that will investigate the ability of different sources of passively-collected transport data to replace traditional household travel survey data as collection methods for strategic transport planning.
It will use data from roadside Bluetooth sensors, adaptive traffic control systems, public transport smartcards and vehicle tracking systems, the Australian Census, GIS databases and potentially other data sources in the Greater Adelaide metropolitan region.
The project will develop and test algorithms to infer mode-specific origin-destination (0-D) flows within the region, potentially segmented by important travel behaviour information, such as trip purpose and demographic characteristics.
More information on this project will soon be published.
