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.
| Original language | English (US) |
|---|---|
| Title of host publication | 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 116-121 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538670248 |
| DOIs | |
| State | Published - Oct 2019 |
| Event | 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand Duration: Oct 27 2019 → Oct 30 2019 |
Publication series
| Name | 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 |
|---|
Conference
| Conference | 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 |
|---|---|
| Country | New Zealand |
| City | Auckland |
| Period | 10/27/19 → 10/30/19 |
ASJC Scopus subject areas
- Artificial Intelligence
- Management Science and Operations Research
- Instrumentation
- Transportation
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Cite this
Yang, D., Xie, K., Ozbay, K., & Yang, H. (2019). Exploring Spatial and Temporal Patterns of Large-scale Smartphone-based Dangerous Driving Event Data. In 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 (pp. 116-121). [8916875] (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2019.8916875