Automatic data collection for detecting travel behavior: the IPET platform

Feasibility for Automatic Data Collection

It is argued that the data collection process is the most crucial and time consuming stage in the model building process. This is primarily due to the influence that data has in providing accurate simulation results. Data collection is an extremely time consuming process predominantly because the task is manually orientated. Hence, automating this process of data collection would be extremely a...

Robust indexing for automatic data collection

Improved methods for indexing diffraction patterns from macromolecular crystals are presented. The novel procedures include a more robust way to verify the position of the incident X-ray beam on the detector, an algorithm to verify that the deduced lattice basis is consistent with the observations, and an alternative approach to identify the metric symmetry of the lattice. These methods help to...

Social Sensors for Automatic Data Collection

We propose a social network data collection method that uses wearable social sensors to automatically detect social interactions. This method offers clear advantages over traditional methods since data is automatically collected by electronic sensors rather than humans. We present the design, implementation and deployment of a wearable social sensing platform that can measure and analyze human ...

Antenna Characterization for Bluetooth-Based Travel Time Data Collection

Data Collection and Analysis in the Air Travel Planning Domain

We have collected, transcribed and analyzed over 8 hours of human-human interactive problem solving dialogue in the air travel planning domain, including traveler-agent dialogues and the more constrained agent-airline dialogues. We have used this data to define and test an initial vocabulary, and to design an appropriate interface for the air travel planning domain. The initial interface design...