Systems of sensors that automatically interact and collect meaningful data are required. Sensor and image understanding are critical for optimal automated data extraction. There are a number of issues to address in the integration, registration and data modeling of transportation data. The fusion of real-time information with existing transportation data and the visualization and presentation of transportation data are extremely important. Current visualization techniques are not fully utilized by transportation experts.
Data quality is critical.
Archival data standards need to be developed. Education and public outreach activities and products are important for media attention and public recognition of the broad benefits of the work being done in transportation.