Research on Traffic Flow Detection by Incorporating Improved Deep Learning Algorithms under Intelligent Transportation Construction
17 mar 2025
O artykule
Data publikacji: 17 mar 2025
Otrzymano: 09 paź 2024
Przyjęty: 03 lut 2025
DOI: https://doi.org/10.2478/amns-2025-0310
Słowa kluczowe
© 2025 Tiancheng Ma, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Figure 5.
Test system accuracy test
| Yolov5s test system accuracy test | |||
|---|---|---|---|
| Vehicle type | Actual quantity ¥ vehicles | System detection statistics ¥ vehicles | Detection accuracy |
| Car | 112 | 110 | 98.21% |
| Bus | 8 | 5 | 62.50% |
| Van | 25 | 20 | 80.00% |
| Other | 5 | 4 | 80.00% |
| Total amount | 150 | 139 | 92.67% |
| System accuracy test for rep_yolov5s_ours | |||
| Car | 112 | 111 | 99.11% |
| Bus | 8 | 8 | 100.00% |
| Van | 25 | 24 | 96.00% |
| Other | 5 | 5 | 100.00% |
| Total amount | 150 | 148 | 98.67% |
Experimental results of multi-lane traffic flow
| Statistical plan | Experimental environment | Experimental results | True result | Accuracy rate |
|---|---|---|---|---|
| Yolov5s test system accuracy test | Triplane | 400 | 430 | 91.02% |
| Five lane | 593 | 695 | 85.32% | |
| System accuracy test for Yolov5s_ours | Triplane | 408 | 430 | 94.88% |
| Five lane | 654 | 695 | 94.10% |