electricsheepafrica/nigerian_transport_and_logistics_toll_stop_delay

# Nigeria Transport & Logistics – Toll, Stop & Delay Events

Location-based events including tolls, stops, and delays with durations and causes.

- **[category]** Route & Trip Data
- **[rows]** ~160,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | timestamp | object | | vehicle_id | object | | event_type | object | | lat | float64 | | lon | float64 | | duration_sec | int64 | | cause | object | | queue_length | int64 |

## Usage

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

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