electricsheepafrica/nigerian_transport_and_logistics_driver_behavior

# Nigeria Transport & Logistics – Driver Behavior

Harsh braking/acceleration, overspeeding, idling, cornering, night drive, safety score.

- **[category]** Vehicle & Fleet Data
- **[rows]** ~150,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | trip_id | object | | event_time | object | | vehicle_id | object | | fleet | object | | vehicle_type | object | | driver_id | object | | harsh_brakes | int64 | | harsh_accels | int64 | | overspeed_sec | int64 | | idle_sec | int64 | | cornering_events | int64 | | night_drive_sec | int64 | | safety_score | float64 |

## Usage

```python
import pandas as pd
df = pd.read_parquet('data/nigerian_transport_and_logistics_driver_behavior/nigerian_transport_and_logistics_driver_behavior.parquet')
df.head()
```

```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_driver_behavior')
ds
```

## Notes

- Nigeria-specific parameters (fleets, roads, traffic, fuel prices)
- Time-of-day traffic effects and seasonal impacts where applicable
- Physical plausibility checks embedded during generation