Understanding mobility based on GPS data
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
T-drive: driving directions based on taxi trajectories
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Discovering spatio-temporal causal interactions in traffic data streams
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Driving behavior analysis with smartphones: insights from a controlled field study
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
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In this paper we develop a method and relevant feature constructs for the measurement of accident risk exposure from a large sample of real-world GPS data that includes accident and accident-free drivers. For trip frequency and accumulated driven distance features, an evaluation of their discriminatory power is given based on computational results. In our conclusion, we briefly discuss suitable classification approaches and limitations arising from external validity considerations.