Trend of traffic incidents in Europe and North America on the 3rd of July 2015

The data was collected using the Bing Traffic API(see 1st link). It contains contains traffic incidents in Europe and North America on the 3rd of July 2015. One record contains data about one traffic incident at a specific timestamp. The data is in BSON format and you can import it to MongoDB using the mongorestore(see 2nd link) command. When you use the mongorestore command you should include the MongoDB metadata file(see 3rd link) that a geospatial index is created on the location of the records. This is an example of one record: { "_id" : ObjectId("556ee2cbed5d282e4de2ce7f"), "timestamp" : ISODate("2015-06-03T11:19:37.819Z"), "incidentId" : NumberLong("2634956835069326936"), "description" : "Closed between Monks Eleigh and Stowmarket - Closed.", "severity" : 4, "type" : 5, "verified" : true, "start" : ISODate("2015-05-25T23:00:00Z"), "end" : ISODate("2015-07-20T22:59:59Z"), "loc" : [ 0.90825, 52.10793 ] } Here the explanation of the fields: _id: unique id of the record (given by Mongodb) timestamp: date when the record requested from the Bing Traffic API incidentID: unique id for the incident (given by the Bing Traffic API) description: a textual description of the incidents severity: the severity of the incident(1 → Low Impact, 2 → Minor, 3 → Moderate, 4 → Serious) type: the type of the incident(1 → Accident, 2 → Congestion, 3 → Disabled Vehicle, 4 → Mass Transit, 5 → Miscellaneous, 6 → Other News, 7 → Planned Event, 8 → Road Hazard, 9 → Construction, 10 → Alert, 11 → Weather) verified: if the incident is confirmed by an official source start: the date when the incident occurred end: the date when the incident will end loc: the location of the incident (latitude and longitude)