@inproceedings{78d91821e6d94b8c8746bc4a60a8c736,
title = "Exploring Spatial and Temporal Patterns of Large-scale Smartphone-based Dangerous Driving Event Data",
abstract = "Dangerous driving events data are widely used as surrogates to traffic crashes. Large-scale dangerous driving events data collected from smartphones are explored in this study. Clustering analysis is performed on dangerous driving events counted in spatial cells. Spatial and temporal patterns of the cluster distributions are then explored. Both the existence of spatial autocorrelation and the similarity of cluster distributions for different time periods are uncovered.",
author = "Di Yang and Kun Xie and Kaan Ozbay and Hong Yang",
year = "2019",
month = oct,
doi = "10.1109/ITSC.2019.8916875",
language = "English (US)",
series = "2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "116--121",
booktitle = "2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019",
note = "2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 ; Conference date: 27-10-2019 Through 30-10-2019",
}