US-Accidents: A Countrywide Traffic Accident Dataset

Published:

Description

This is a countrywide traffic accident dataset, which covers 49 states of the United States. The data is continuously being collected from February 2016, using several data providers, including two APIs which provide streaming traffic event data. These APIs broadcast traffic events captured by a variety of entities, such as the US and state departments of transportation, law enforcement agencies, traffic cameras, and traffic sensors within the road-networks. Currently, there are about 2.25 million accident records in this dataset. Check the below descriptions for more detailed information.

Acknowledgments

Please cite the following papers if you use this dataset:

This dataset is being distributed only for Research purposes, under Creative Commons Attribution-Noncommercial-ShareAlike license (CC BY-NC-SA 4.0). By clicking on download button(s) below, you are agreeing to use this data only for non-commercial, research, or academic applications. You may cite the above papers if you use this dataset.

Download

  • Version 1 (May 2019): In this version, we provide data which is collected from February 2016 to March 2019 for the Contiguous United States. In this set, we have about 2.25 million traffic accidents. Download data from here.

The next version will be available by December 2019.

Coverage

The dataset covers 49 states of the US. Following diagram shows the current data distribution over all the states.

us_accident_frequency

Format

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):

#AttributeDescriptionNullable
1IDThis is a unique identifier of the accident record.No
2SourceIndicates source of the accident report (i.e. the API which reported the accident.).No
3TMCA traffic accident may have a Traffic Message Channel (TMC) code which provides more detailed description of the event.Yes
4SeverityShows severity of the accident (a number between 1 and 4).No
5Start_TimeShows start time of the accident in local time zone.No
6End_TimeShows end time of the accident in local time zone.No
7Start_LatShows latitude in GPS coordinate of the start point.No
8Start_LngShows longitude in GPS coordinate of the start point.No
9End_LatShows latitude in GPS coordinate of the end point.Yes
10End_LngShows longitude in GPS coordinate of the end point.Yes
11Distance(mi)The length of the road extent affected by the accident.No
12DescriptionShows natural language description of the accident.No
13NumberShows the street number in address field.Yes
14StreetShows the street name in address field.Yes
15SideShows the relative side of the street (Right/Left) in address field.Yes
16CityShows the city in address field.Yes
17CountyShows the county in address field.Yes
18StateShows the state in address field.Yes
19ZipcodeShows the zipcode in address field.Yes
20CountryShows the country in address field.Yes
21TimezoneShows timezone based on the location of the accident (eastern, central, etc.).Yes
22Airport_CodeDenotes an airport-based weather station which is the closest one to location of the accident.Yes
23Weather_TimestampShows the time-stamp of weather observation record (in local time).Yes
24Temperature(F)Shows the temperature (in Fahrenheit).Yes
25Wind_Chill(F)Shows the wind chill (in Fahrenheit).Yes
26Humidity(%)Shows the humidity (in percentage).Yes
27Pressure(in)Shows the air pressure (in inches).Yes
28Visibility(mi)Shows visibility (in miles).Yes
29Wind_DirectionShows wind direction.Yes
30Wind_Speed(mph)Shows wind speed (in miles per hour).Yes
31Precipitation(in)Shows precipitation amount in inches, if there is any.Yes
32Weather_ConditionShows the weather condition (rain, snow, thunderstorm, fog, etc.)Yes
33AmenityA POI annotation which indicates presence of amenity in a nearby location.No
34BumpA POI annotation which indicates presence of speed bump or hump in a nearby location.No
35CrossingA POI annotation which indicates presence of crossing in a nearby location.No
36Give_WayA POI annotation which indicates presence of give_way in a nearby location.No
37JunctionA POI annotation which indicates presence of junction in a nearby location.No
38No_ExitA POI annotation which indicates presence of no_exit in a nearby location.No
39RailwayA POI annotation which indicates presence of railway in a nearby location.No
40RoundaboutA POI annotation which indicates presence of roundabout in a nearby location.No
41StationA POI annotation which indicates presence of station in a nearby location.No
42StopA POI annotation which indicates presence of stop in a nearby location.No
43Traffic_CalmingA POI annotation which indicates presence of traffic_calming in a nearby location.No
44Traffic_SignalA POI annotation which indicates presence of traffic_signal in a nearby location.No
45Turning_LoopA POI annotation which indicates presence of turning_loop in a nearby location.No
46Sunrise_SunsetShows the period of day (i.e. day or night) based on sunrise/sunset.Yes
47Civil_TwilightShows the period of day (i.e. day or night) based on civil twilight.Yes
48Nautical_TwilightShows the period of day (i.e. day or night) based on nautical twilight.Yes
49Astronomical_TwilightShows the period of day (i.e. day or night) based on astronomical twilight.Yes

Applications of Dataset

US-Accidents can be used for numerous applications such as real-time accident prediction, studying accident hotspot locations, casualty analysis and extracting cause and effect rules to predict accidents, or studying the impact of precipitation or other environmental stimuli on accident occurrence.


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