Contents
How big is the US traffic accident dataset?
The dataset covers 49 states of the US. Following diagram shows the current data distribution over all the states. The data is provided in terms of a CSV file. Following table describes the data attributes (visit our paper to learn more about these attributes and how we obtained them): This is a unique identifier of the accident record.
When does the next traffic accident data come out?
Version 4 (Dec 2020): In this version, we provide data that is collected from February 2016 to Dec 2020 for the Contiguous United States. In this dataset, we have about 3 million traffic accidents. Download data from here. The next version will be available by December 2021.
Where can I find countrywide traffic accident dataset?
In proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM, 2019. This dataset is being distributed only for Research purposes, under Creative Commons Attribution-Noncommercial-ShareAlike license (CC BY-NC-SA 4.0).
When did the UK start collecting road safety data?
These files provide detailed road safety data about the circumstances of personal injury road accidents in GB from 1979, the types of vehicles involved and the consequential casualties.
When was the last time traffic accident data was collected?
This is a countrywide traffic accident dataset, which covers 49 states of the United States. The data is continuously being collected from February 2016 to March 2019, using several data providers, including two APIs which provide streaming traffic event data.
“A Countrywide Traffic Accident Dataset.”, arXiv preprint arXiv:1906.05409 (2019). Moosavi, Sobhan, Mohammad Hossein Samavatian, Srinivasan Parthasarathy, Radu Teodorescu, and Rajiv Ramnath.
Which is dataset contains images of dense traffic?
Traffic-Net Traffic-Net is a dataset containing images of dense traffic, sparse traffic, accidents and burning vehicles. Traffic-Net is a dataset of traffic images, collected in order to ensure that machine learning systems can be trained to detect traffic conditions and provide real-time monitoring, analytics and alerts.