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intersection_id
stringlengths
11
11
phase
stringclasses
2 values
start_time
stringdate
2024-10-12 11:13:14
2025-10-12 11:05:46
green_sec
int64
10
96
yellow_sec
int64
2
8
red_sec
int64
10
92
cycle_time_sec
int64
22
157
offset_sec
int64
0
64
optimized
bool
2 classes
corridor_id
stringlengths
10
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COR-000320
End of preview. Expand in Data Studio
# Nigeria Transport & Logistics – Traffic Signal Timing

Intersection phases, cycle times, offsets, and optimization flags.

- **[category]** Infrastructure & Environment
- **[rows]** ~100,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)

## Schema

| column | dtype |

|---|---| | intersection_id | object | | phase | object | | start_time | object | | green_sec | int64 | | yellow_sec | int64 | | red_sec | int64 | | cycle_time_sec | int64 | | offset_sec | int64 | | optimized | bool | | corridor_id | object |

## Usage

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

```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_traffic_signal_timing')
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
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Collection including electricsheepafrica/nigerian_transport_and_logistics_traffic_signal_timing