Accident 2022010356958

Serious Accident

Accident summary

On Thursday 27 January 2022 at 08:24 a serious collision occurred near A 102, Tower Hamlets involving 2 vehicles (yamaha fz, suzuki baleno) and 1 casualty (1 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: Dual carriageway
  • Setting: Urban

Location

Fatal
Serious
Slight
Click markers for details
Coordinates: 51.506454, -0.003851

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Basic Information

Accident Reference 2022010356958
Police Reference 010356958
Date & Time
Thursday
Severity Serious
Vehicles Involved 2
Casualties 1
Police Force Metropolitan Police
Police Officer Attended Yes

Road & Location Details

Area Type Urban
First Road A 102
Road Type Dual carriageway
Speed Limit 30 mph
Trunk Road Yes
Highway Authority E09000030
LSOA Code E01032779

Environmental Conditions

Light Conditions Darkness - lights lit
Weather Conditions Fine no high winds
Road Surface Conditions Dry
Special Conditions Oil or diesel
Carriageway Hazards Other object on road

Vehicles (2)

Vehicle 1

Vehicle Information

Type Motorcycle over 500cc
Make/Model YAMAHA FZ
Vehicle Age 13 years
Engine Capacity 599cc
Fuel Type Petrol
Left Hand Drive Yes
Manoeuvre Going ahead other

Driver Information

Age 57
Sex Male
Journey Purpose Commuting to/from work
Home Area Type Urban
IMD Decile 3 (1=most deprived, 10=least deprived)

Vehicle 2

Vehicle Information

Type Car
Make/Model SUZUKI BALENO
Vehicle Age 5 years
Engine Capacity 998cc
Fuel Type Petrol
Left Hand Drive Yes
Manoeuvre Going ahead other

Driver Information

Age 29
Sex Female
Journey Purpose Commuting to/from work
Home Area Type Urban
IMD Decile 3 (1=most deprived, 10=least deprived)

Casualties (1)

Casualty 1

Basic Information

Class Driver or rider
Severity Serious
Type Unknown
Age 57
Sex Male
Associated Vehicle Vehicle 1

Additional Details

Home Area Type Urban
IMD Decile 3 (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.