Nigeria Transport & Logistics
Collection
A collection of Nigerian transport & logistics datasets. • 43 items • Updated
load_id stringlengths 12 12 | vehicle_id stringlengths 9 9 | vehicle_type stringclasses 5
values | cargo_mass_kg float64 50 40.5k | route_distance_km float64 5 752 | balance_index float64 -0.91 0.93 | axle_overload bool 2
classes |
|---|---|---|---|---|---|---|
LD-000000000 | VH-329015 | rigid_truck | 3,466.8 | 213 | -0.135 | false |
LD-000000001 | VH-171545 | rigid_truck | 3,027.8 | 5 | 0.08 | false |
LD-000000002 | VH-556817 | reefer_truck | 18,377.3 | 449.2 | -0.156 | false |
LD-000000003 | VH-169494 | van | 1,628.2 | 269.4 | -0.011 | false |
LD-000000004 | VH-090892 | rigid_truck | 6,204.3 | 436.5 | -0.114 | false |
LD-000000005 | VH-271383 | van | 1,891.1 | 5 | -0.078 | false |
LD-000000006 | VH-213921 | articulated_truck | 19,419.2 | 154.6 | 0.089 | false |
LD-000000007 | VH-298432 | articulated_truck | 9,055.4 | 141.6 | -0.413 | false |
LD-000000008 | VH-780313 | rigid_truck | 6,846.3 | 116.2 | 0.007 | false |
LD-000000009 | VH-615880 | van | 326.8 | 5 | 0.175 | false |
LD-000000010 | VH-111095 | articulated_truck | 10,186.9 | 194.6 | 0.133 | false |
LD-000000011 | VH-048934 | van | 1,643.1 | 261.4 | 0.218 | false |
LD-000000012 | VH-120544 | rigid_truck | 7,374.8 | 178.5 | 0.195 | false |
LD-000000013 | VH-199697 | van | 565.4 | 224.7 | -0.339 | false |
LD-000000014 | VH-203127 | van | 317.6 | 113 | -0.088 | false |
LD-000000015 | VH-711837 | rigid_truck | 4,315.1 | 136.7 | 0.035 | false |
LD-000000016 | VH-194974 | rigid_truck | 6,074.7 | 328.3 | 0.283 | false |
LD-000000017 | VH-572238 | rigid_truck | 12,236.9 | 144.6 | -0.115 | false |
LD-000000018 | VH-316240 | van | 981.1 | 309.4 | -0.148 | false |
LD-000000019 | VH-470726 | van | 640.8 | 278 | 0.099 | false |
LD-000000020 | VH-124588 | rigid_truck | 9,514.6 | 381.3 | -0.091 | false |
LD-000000021 | VH-245896 | articulated_truck | 7,250.9 | 172.4 | -0.285 | false |
LD-000000022 | VH-340151 | reefer_truck | 19,744.6 | 197.8 | -0.221 | false |
LD-000000023 | VH-655051 | minibus | 691.4 | 491.7 | -0.009 | false |
LD-000000024 | VH-456428 | rigid_truck | 50 | 257.4 | 0.303 | false |
LD-000000025 | VH-279170 | articulated_truck | 32,283.8 | 8.3 | 0.172 | false |
LD-000000026 | VH-666638 | rigid_truck | 3,995.2 | 237.4 | -0.206 | false |
LD-000000027 | VH-707012 | articulated_truck | 20,235.5 | 136.8 | -0.026 | false |
LD-000000028 | VH-103206 | rigid_truck | 13,484.4 | 219.3 | -0.172 | false |
LD-000000029 | VH-046769 | articulated_truck | 12,472.2 | 216.2 | -0.069 | false |
LD-000000030 | VH-706330 | van | 538.3 | 201.5 | -0.174 | false |
LD-000000031 | VH-395051 | van | 2,096.5 | 387.4 | 0.209 | false |
LD-000000032 | VH-001058 | van | 1,356.5 | 206.4 | -0.029 | false |
LD-000000033 | VH-513182 | rigid_truck | 4,169.6 | 272.4 | 0.038 | false |
LD-000000034 | VH-723008 | van | 1,842.4 | 109.7 | 0.493 | false |
LD-000000035 | VH-171373 | van | 722.9 | 235 | -0.188 | false |
LD-000000036 | VH-304268 | articulated_truck | 19,498.7 | 279.3 | -0.162 | false |
LD-000000037 | VH-136576 | articulated_truck | 5,383.3 | 85.6 | -0.004 | false |
LD-000000038 | VH-268988 | van | 543.8 | 138.2 | 0.147 | false |
LD-000000039 | VH-095657 | van | 1,437 | 5 | -0.096 | false |
LD-000000040 | VH-547537 | van | 150.3 | 120.8 | 0.091 | false |
LD-000000041 | VH-644051 | van | 629.8 | 125.6 | -0.038 | false |
LD-000000042 | VH-248072 | articulated_truck | 2,776.6 | 262.7 | 0.101 | false |
LD-000000043 | VH-530690 | reefer_truck | 5,733.4 | 19.5 | 0.008 | false |
LD-000000044 | VH-408019 | reefer_truck | 10,912.2 | 5 | -0.11 | false |
LD-000000045 | VH-070040 | rigid_truck | 6,519.5 | 127.2 | 0.072 | false |
LD-000000046 | VH-395886 | van | 50 | 43.8 | -0.216 | false |
LD-000000047 | VH-709854 | van | 1,377.8 | 151.3 | -0.008 | false |
LD-000000048 | VH-727975 | articulated_truck | 2,306.9 | 286.9 | -0.099 | false |
LD-000000049 | VH-637126 | articulated_truck | 12,213.3 | 98.5 | -0.364 | false |
LD-000000050 | VH-238437 | van | 1,280.7 | 121.7 | -0.266 | false |
LD-000000051 | VH-378302 | rigid_truck | 8,261 | 65.2 | 0.149 | false |
LD-000000052 | VH-137387 | van | 1,997 | 235 | -0.124 | false |
LD-000000053 | VH-356252 | articulated_truck | 11,957.3 | 5 | -0.241 | false |
LD-000000054 | VH-506518 | rigid_truck | 6,764.1 | 262.8 | -0.196 | false |
LD-000000055 | VH-414800 | articulated_truck | 21,312.6 | 439.9 | 0.042 | false |
LD-000000056 | VH-082724 | rigid_truck | 14,342.1 | 163.4 | -0.035 | false |
LD-000000057 | VH-422425 | rigid_truck | 4,811.1 | 124.8 | 0.06 | false |
LD-000000058 | VH-745671 | van | 1,635.3 | 198.4 | -0.144 | false |
LD-000000059 | VH-335552 | minibus | 1,367.6 | 162 | 0.07 | false |
LD-000000060 | VH-354665 | van | 1,770.2 | 201.8 | -0.297 | false |
LD-000000061 | VH-681623 | articulated_truck | 17,949.5 | 323.2 | 0.398 | false |
LD-000000062 | VH-418875 | minibus | 981.3 | 408.5 | 0.04 | false |
LD-000000063 | VH-000426 | articulated_truck | 15,717.5 | 343.8 | -0.03 | false |
LD-000000064 | VH-331821 | rigid_truck | 2,503.9 | 121.3 | -0.018 | false |
LD-000000065 | VH-524965 | minibus | 1,497.4 | 227.1 | -0.067 | false |
LD-000000066 | VH-691044 | articulated_truck | 9,210.1 | 291.1 | 0.084 | false |
LD-000000067 | VH-299471 | rigid_truck | 8,157.5 | 5 | 0.047 | false |
LD-000000068 | VH-503008 | articulated_truck | 7,255.6 | 285.6 | 0.061 | false |
LD-000000069 | VH-383465 | van | 1,219.6 | 5 | 0.303 | false |
LD-000000070 | VH-697175 | reefer_truck | 1,485.2 | 119 | -0.11 | false |
LD-000000071 | VH-591370 | van | 995.6 | 203.1 | -0.082 | false |
LD-000000072 | VH-506418 | articulated_truck | 18,708 | 78.7 | 0.147 | false |
LD-000000073 | VH-054453 | van | 723 | 286.1 | -0.018 | false |
LD-000000074 | VH-453678 | minibus | 1,725.4 | 5 | 0.178 | false |
LD-000000075 | VH-226761 | van | 1,167.7 | 203.9 | -0.14 | false |
LD-000000076 | VH-129999 | rigid_truck | 5,178.9 | 79.1 | 0.03 | false |
LD-000000077 | VH-380493 | articulated_truck | 50 | 364.4 | -0.083 | false |
LD-000000078 | VH-674712 | articulated_truck | 29,222.1 | 5 | -0.044 | false |
LD-000000079 | VH-331989 | van | 1,049 | 269.3 | 0.174 | false |
LD-000000080 | VH-564756 | articulated_truck | 16,095.6 | 229.3 | -0.2 | false |
LD-000000081 | VH-712270 | van | 1,086.2 | 348.5 | 0.377 | false |
LD-000000082 | VH-653492 | rigid_truck | 6,503.1 | 219.6 | -0.183 | false |
LD-000000083 | VH-481548 | van | 1,150.1 | 202.6 | 0.129 | false |
LD-000000084 | VH-656962 | van | 1,504.8 | 199.2 | -0.026 | false |
LD-000000085 | VH-168479 | minibus | 1,545.4 | 163.7 | -0.154 | false |
LD-000000086 | VH-360404 | articulated_truck | 20,720.9 | 275.7 | -0.029 | false |
LD-000000087 | VH-792625 | articulated_truck | 9,424.7 | 5 | 0.113 | false |
LD-000000088 | VH-641180 | van | 1,365.7 | 118.3 | 0.316 | false |
LD-000000089 | VH-506460 | minibus | 1,968.7 | 189.2 | -0.457 | false |
LD-000000090 | VH-525919 | rigid_truck | 5,655.5 | 190.1 | 0.131 | false |
LD-000000091 | VH-448280 | rigid_truck | 50 | 305.8 | 0.103 | false |
LD-000000092 | VH-029845 | rigid_truck | 6,766.2 | 383.5 | 0.443 | false |
LD-000000093 | VH-433354 | reefer_truck | 8,868.1 | 5 | 0.316 | false |
LD-000000094 | VH-422194 | van | 2,160.7 | 271.2 | 0.068 | false |
LD-000000095 | VH-194171 | van | 1,408.2 | 205.1 | 0.044 | false |
LD-000000096 | VH-361262 | rigid_truck | 2,142.7 | 220.8 | 0.11 | false |
LD-000000097 | VH-596745 | van | 1,753.8 | 136.9 | 0.044 | false |
LD-000000098 | VH-621545 | rigid_truck | 5,961.6 | 5 | -0.115 | false |
LD-000000099 | VH-259407 | van | 944.1 | 150.2 | -0.221 | false |
# Nigeria Transport & Logistics – Load & Weight
Cargo mass, route distance, balance index, and axle overload flags per load.
- **[category]** Freight & Cargo
- **[rows]** ~140,000
- **[formats]** CSV + Parquet (snappy)
- **[geography]** Nigeria (major cities, corridors, ports, airports)
## Schema
| column | dtype |
|---|---| | load_id | object | | vehicle_id | object | | vehicle_type | object | | cargo_mass_kg | float64 | | route_distance_km | float64 | | balance_index | float64 | | axle_overload | bool |
## Usage
```python
import pandas as pd
df = pd.read_parquet('data/nigerian_transport_and_logistics_load_weight/nigerian_transport_and_logistics_load_weight.parquet')
df.head()
```
```python
from datasets import load_dataset
ds = load_dataset('electricsheepafrica/nigerian_transport_and_logistics_load_weight')
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