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REFERENCES

1 
W. Huang, X. Xu, M. Hu, and W. Huang, ``A license plate recognition data to estimate and visualise the restriction policy for diesel vehicles on urban air quality: A case study of Shenzhen,'' Journal of Cleaner Production, Vol. 338, pp. 1-16, 2022.DOI
2 
Y. Yu, Y. Cui, J. Zeng, C. He, and D. Wang, ``Identifying traffic clusters in urban networks based on graph theory using license plate recognition data,'' Physica A: Statistical Mechanics and its Applications, Vol. 591, pp. 1-16, 2022.DOI
3 
Q. Lin, J. Chen, G. Li, and Z. He, ``Signal timing parameters inference method at intersections using license plate recognition data,'' IET Intelligent Transport Systems, Vol. 16, No. 8, pp. 1092-1107, 2022.DOI
4 
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T. Vetriselvi, E. L. Lydia, S. N. Mohanty, E. Alabdulkreem, S. Al-Otaibi, A. Al-Rasheed, and R. F. Mansour, ``Deep Learning Based License Plate Number Recognition for Smart Cities,'' Computers, Materials, and Continuum (in English), Vol. 000, No. 001, pp. 2049-2064, 2022.DOI
6 
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7 
C. Nie, H. Wei, J. Shi, and M. Zhang, ``Optimizing actuated traffic signal control using license plate recognition data: methods for modeling and algorithm development,'' Transportation Research Interdisciplinary Perspectives, Vol. 9, No. 11, pp. 1-10, 2021.DOI
8 
R. Li, S. Wang, P. Jiao, and S. Lin. ``Traffic control optimization strategy based on license plate recognition data,'' Journal of Traffic and Transportation Engineering: English, Vol. 10, No. 1, pp. 45-57, 2023.DOI
9 
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10 
X. Qi, Y. Ji, W. Li, and S. Zhang, ``Vehicle Trajectory Reconstruction on Urban Traffic Network Using Automatic License Plate Recognition Data,'' IEEE Access, Vol. 9, pp. 49110-49120, 2021.DOI
11 
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12 
L. Ma and Y. Zhang, ``Research on Vehicle License Plate Recognition Technology Based on Deep CNNs,'' Microprocessors and Microsystems, Vol. 82, No. 8, pp. 103932, 2021.DOI
13 
Z. Wang, X. Ma, and W. Huang, ``Vehicle License Plate Recognition Based on Wavelet Transform and Vertical Edge Matching,'' International Journal of Pattern Recognition and Artificial Intelligence, Vol. 2020, No. 6, pp. 34, 2020.DOI
14 
C. Zhang, Q. Wang, and X. Li, ``V-LPDR: Towards a unified framework for license plate detection, tracking, and recognition in real-world traffic videos - ScienceDirect,'' Neurocomputing, Vol. 449, pp. 189-206, 2021.DOI
15 
Z. Gu, Y. Su, C. Liu, Y. Lyu, Y. Jian, H. Li, Z. Cao, and L. Wang, ``Adversarial Attacks on License Plate Recognition Systems,'' Computers, Materials and Continua, Vol. 65, No. 2, pp. 1437-1452, 2020.DOI
16 
T. S. Lan, J. Li, X. J. Dai, H. S. Chen, and R. Liu, ``Recognition of Vehicle License Plate Based on Hopfield Artificial Neural Network,'' Sensors and Materials: An International Journal on Sensor Technology, Vol. 33, No. 11 Pt.3, pp. 3983-3990, 2021.DOI
17 
M. Hu, S. Wang, W. Huang, X. Shi, W. Huang, and T. Wang, ``Vehicle trajectory reconstruction and emission estimation based on license plate recognition data,'' Journal of Shenzhen University Science and Engineering, Vol. 37, No. 2, pp. 111-120, 2021.DOI
18 
C. An, X. Guo, R. Hong, Z. Lu, and J. Xia, ``Lane-Based Traffic Arrival Pattern Estimation Using License Plate Recognition Data,'' IEEE Intelligent Transportation Systems Magazine, Vol. 14, No. 4, pp. 133-144, 2022.DOI
19 
R. Laroca, L. A. Zanlorensi, G. R. Gonalves, E. Todt, W. R. Schwartz, and D. Menotti, ``An efficient and layout-independent automatic license plate recognition system based on the YOLO detector,'' IET Intelligent Transport Systems, Vol. 15, No. 4, pp. 483-503, 2021.DOI
20 
H. Wu, B. Zhou, and W. Wei, ``License Plate recognition in fog weather based on deep learning,'' Journal of Physics: Conference Series, Vol. 1738, pp. 1-7, 2021.DOI