electricsheepafrica/nigerian_transport_and_logistics_trip_history

# Nigeria Transport & Logistics – Trip History

Trip-level origin/destination, timestamps, duration, distance, and average speed.

- **[category]** Route & Trip Data
- **[rows]** ~200,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | trip_id | object | | vehicle_id | object | | fleet | object | | origin_city | object | | dest_city | object | | start_time | object | | end_time | object | | duration_min | int64 | | distance_km | float64 | | avg_speed_kmh | float64 |

## Usage

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

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