A Countrywide Traffic Accident Dataset

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Precipitation effects on motor vehicle crashes vary by space, time, and environmental conditions

JD Tamerius, X Zhou, R Mantilla, and T Greenfield-Huitt. 2016 · 2016

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Alameen Najjar, Shun’ichi Kaneko, and Yoshikazu Miyanaga. 2017 · 2017

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A model of traffic accident prediction based on convolutional neural network. In 2017 2nd IEEE International Conference on Intelligent Transportation Engineering (ICITE)

Lu Wenqi, Luo Dongyu, and Yan Menghua. 2017 · 2017

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Predicting traffic accidents through heterogeneous urban data: A case study. In Proceedings of the 6th International Workshop on Urban Computing (UrbComp 2017), Halifax, NS, Canada

Zhuoning Yuan, Xun Zhou, Tianbao Yang, James Tamerius, and Ricardo Mantilla. 2017 · 2017

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Hetero-ConvLSTM: A deep learning approach to traffic accident prediction on heterogeneous spatio-temporal data. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Zhuoning Yuan, Xun Zhou, and Tianbao Yang. 2018 · 2018

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Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Sobhan Moosavi, Mohammad Hossein Samavatian, Arnab Nandi, Srinivasan Parthasarathy, and Rajiv Ramnath. 2019 · 2019

Closest in time.

https://data.ny.gov/Transportation/Motor-Vehicle-Crashes-Vehicle-Information-Three-Ye/xe9x-a24f . (2019)

New York Traffic Accidents. 2019 · 2019

Closest in time.

https://wiki.openstreetmap.org/wiki/Nominatim . (2019)

Nominatim Tool. 2019 · 2019

Closest in time.

https://www.openstreetmap.org/ . (2019)

Open Street Map (OSM). 2019 · 2019

Closest in time.

http://data-seattlecitygis.opendata.arcgis.com/datasets/5b5c745e0f1f48e7a53acec63a0022ab_0 . (2019)

Seattle (WA) Traffic Accidents. 2019 · 2019

Closest in time.