Renault Trucks Master and Tesla Model Y and Nissan Micra crash on the M1 in Luton - 22 Oct 2023
Accident reference 2023401369060
Accident summary
On Sunday 22 October 2023 at 20:17 a slight collision occurred near Motorway 1, Luton involving 5 vehicles and 3 casualties (3 slight) Weather at the time was recorded as fine no high winds. Road surface conditions were dry. Lighting was described as darkness - lighting unknown. A police officer attended the scene.
Key details
- Posted speed limit: 60 mph
- Road type: Dual carriageway
- Setting: Rural
Location
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Basic Information
| Accident Reference | 2023401369060 |
| Police Reference | 401369060 |
| Date & Time |
Sunday
|
| Severity | Slight |
| Vehicles Involved | 5 |
| Casualties | 3 |
| Police Force | Bedfordshire |
| Police Officer Attended | Yes |
Road & Location Details
| Area Type | Rural |
| First Road | Motorway 1 |
| Road Type | Dual carriageway |
| Speed Limit | 60 mph |
| Trunk Road | Yes |
| Highway Authority | E06000032 |
| LSOA Code | E01015753 |
Environmental Conditions
| Light Conditions | Darkness - lighting unknown |
| Weather Conditions | Fine no high winds |
| Road Surface Conditions | Dry |
| Special Conditions | None |
| Carriageway Hazards | None |
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SlightVehicles (5)
Vehicle 1
Vehicle Information
| Type | Van / Goods 3.5 tonnes mgw or under |
| Make/Model | RENAULT TRUCKS MASTER |
| Vehicle Age | 5 years |
| Engine Capacity | 2299cc |
| Fuel Type | Heavy oil |
| Left Hand Drive | Yes |
| Manoeuvre | Going ahead other |
Driver Information
| Age | 23 |
| Sex | Male |
| Journey Purpose | Not known |
| Home Area Type | Urban |
| IMD Decile | 7 (1=most deprived, 10=least deprived) |
Vehicle 2
Vehicle Information
| Type | Car |
| Make/Model | TESLA MODEL Y |
| Fuel Type | Electric |
| Left Hand Drive | Yes |
| Manoeuvre | Going ahead other |
Driver Information
| Age | 50 |
| Sex | Male |
| Journey Purpose | Not known |
| Home Area Type | Urban |
| IMD Decile | 8 (1=most deprived, 10=least deprived) |
Vehicle 3
Vehicle Information
| Type | Car |
| Make/Model | NISSAN MICRA |
| Vehicle Age | 18 years |
| Engine Capacity | 1386cc |
| Fuel Type | Petrol |
| Left Hand Drive | Yes |
| Manoeuvre | Going ahead other |
Driver Information
| Age | 33 |
| Sex | Female |
| Journey Purpose | Not known |
| Home Area Type | Urban |
| IMD Decile | 6 (1=most deprived, 10=least deprived) |
Vehicle 4
Vehicle Information
| Type | Car |
| Make/Model | RENAULT CLIO |
| Vehicle Age | 8 years |
| Engine Capacity | 899cc |
| Fuel Type | Petrol |
| Left Hand Drive | Yes |
| Manoeuvre | Going ahead other |
Driver Information
| Age | 21 |
| Sex | Male |
| Journey Purpose | Not known |
| Home Area Type | Urban |
| IMD Decile | 4 (1=most deprived, 10=least deprived) |
Vehicle 5
Vehicle Information
| Type | Van / Goods 3.5 tonnes mgw or under |
| Make/Model | CITROEN BERLINGO |
| Vehicle Age | 10 years |
| Engine Capacity | 1560cc |
| Fuel Type | Heavy oil |
| Left Hand Drive | Yes |
| Manoeuvre | Going ahead other |
Driver Information
| Age | 28 |
| Sex | Male |
| Journey Purpose | Not known |
| Home Area Type | Urban |
| IMD Decile | 10 (1=most deprived, 10=least deprived) |
Casualties (3)
Casualty 1
Basic Information
| Class | Driver or rider |
| Severity | Slight |
| Type | Car occupant |
| Age | 50 |
| Sex | Male |
| Associated Vehicle | Vehicle 2 |
Additional Details
| Home Area Type | Urban |
| IMD Decile | 8 (1=most deprived, 10=least deprived) |
Casualty 2
Basic Information
| Class | Driver or rider |
| Severity | Slight |
| Type | Car occupant |
| Age | 33 |
| Sex | Female |
| Associated Vehicle | Vehicle 3 |
Additional Details
| Home Area Type | Urban |
| IMD Decile | 6 (1=most deprived, 10=least deprived) |
Casualty 3
Basic Information
| Class | Passenger |
| Severity | Slight |
| Type | Car occupant |
| Age | 15 |
| Sex | Male |
| Associated Vehicle | Vehicle 3 |
Additional Details
| Car Passenger | Rear seat passenger |
| Home Area Type | Urban |
| IMD Decile | 8 (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.