Serious Smart Fortwo crash on an unclassified road in Bexley - 14 May 2022
Accident reference 2022010376490
Accident summary
On Saturday 14 May 2022 at 21:40 a serious collision occurred near an unclassified road, Bexley involving 1 vehicle (smart fortwo) and 2 casualties (2 serious) Weather at the time was recorded as fine no high winds. Road surface conditions were dry. Lighting was described as darkness - lights lit. A police officer attended the scene.
Key details
- Posted speed limit: 30 mph
- Road type: Single carriageway
- Setting: Rural
Location
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Basic Information
| Accident Reference | 2022010376490 |
| Police Reference | 010376490 |
| Date & Time |
Saturday
|
| Severity | Serious |
| Vehicles Involved | 1 |
| Casualties | 2 |
| Police Force | Metropolitan Police |
| Police Officer Attended | Yes |
Road & Location Details
| Area Type | Rural |
| First Road | Unclassified road |
| Second Road | Unclassified road |
| Road Type | Single carriageway |
| Speed Limit | 30 mph |
| Trunk Road | Yes |
| Highway Authority | E09000004 |
| LSOA Code | E01000385 |
Environmental Conditions
| Light Conditions | Darkness - lights lit |
| Weather Conditions | Fine no high winds |
| Road Surface Conditions | Dry |
| Special Conditions | None |
| Carriageway Hazards | None |
Nearby or similar collisions
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SlightVehicles (1)
Vehicle 1
Vehicle Information
| Type | Car |
| Make/Model | SMART FORTWO |
| Vehicle Age | 5 years |
| Engine Capacity | 999cc |
| Fuel Type | Petrol |
| Left Hand Drive | Yes |
| Manoeuvre | Going ahead left-hand bend |
Driver Information
| Age | 20 |
| Sex | Male |
| Journey Purpose | Not known |
Casualties (2)
Casualty 1
Basic Information
| Class | Driver or rider |
| Severity | Serious |
| Type | Car occupant |
| Age | 20 |
| Sex | Male |
| Associated Vehicle | Vehicle 1 |
Additional Details
Casualty 2
Basic Information
| Class | Passenger |
| Severity | Serious |
| Type | Car occupant |
| Age | 20 |
| Sex | Male |
| Associated Vehicle | Vehicle 1 |
Additional Details
| Car Passenger | Front seat passenger |
| Home Area Type | Urban |
| IMD Decile | 7 (1=most deprived, 10=least deprived) |
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Data Source
This data is from the UK Department for Transport's STATS19 road safety dataset, available under the Open Government Licence v3.0.