Our research is divided into two categories:
- TRAC-IT – Using GPS-enabled cell phones as travel behavior data collection tools and for advanced hyper-personalized traffic alerts
- Travel Assistance Device (TAD) – Using GPS-enabled cell phones to aid transit riders
- Dynamic Travel Information – Personalized and Delivered to Your Cell Phone
- Enabling Cost-Effective Multimodal Trip Planners through Open Transit Data
- Development of a Regional Public Transportation GIS Architecture and Data Model
- Enhancing Transportation Safety and Security Via Scalable Location-based Wireless Applications
- Location-Aware Information Systems Client (LAISYC) – modular positioning systems and communications framework used for mobile apps and location-based services
- GPS Auto-Sleep – supports high-resolution tracking while conserving battery energy and wireless data transfer
- Critical Point Algorithm – Saves battery energy and reduces the amount of location data transfer between device and server by pre-filtering GPS data on a mobile device.
- Location Data Signing – provides authentication for location data collected by mobile apps.
- Adaptive Location Data Buffering – increases the probability that location data sent via UDP will successfully arrive at a server.
- Location Data Encryption – secures location data sent via UDP.
- Path Prediction – provides intelligent location-based services based on where the user has been in the past and their real-time predicted location
- Fast GNSS Data Clustering – automatically identifies points-of-interest and discrete trips from raw GNSS data.