In order to design and operate more efficient urban transport infrastructure networks along the Cascadia Corridor, improved spatial and temporal data is required to understand travel activity patterns. The integration and comparative analysis of new data sources including: electronic transit ticketing (Vancouver Compass Card, Seattle Orca Card), geospatially tagged social media, smartphone travel diaries, and road based sensor networks can now be used to improve data collection, resolution and reliability.
This research will integrate various citizen generated (social media, smartphones) and infrastructure sensor-based (real-time vehicle counts, automated traffic signals) mobility data sources to construct high resolution spatial and temporal travel demand profiles to improve calibration and estimation of agent-based simulation models. TO BE CONT'D