Research on Traffic Flow Detection by Incorporating Improved Deep Learning Algorithms under Intelligent Transportation Construction

[1] Qureshi, K. N., & Abdullah, A. H. (2013). A survey on intelligent transportation systems. Middle-East Journal of Scientific Research, 15(5), 629-642. Qureshi K. N. Abdullah A. H. ( 2013 ). A survey on intelligent transportation systems . Middle-East Journal of Scientific Research , 15 ( 5 ), 629 - 642 . Search in Google Scholar

[2] Lin, Y., Wang, P., & Ma, M. (2017, May). Intelligent transportation system (ITS): Concept, challenge and opportunity. In 2017 ieee 3rd international conference on big data security on cloud (bigdatasecurity), ieee international conference on high performance and smart computing (hpsc), and ieee international conference on intelligent data and security (ids) (pp. 167-172). IEEE. Lin Y. Wang P. Ma M. ( 2017 , May ). Intelligent transportation system (ITS): Concept, challenge and opportunity . In 2017 ieee 3rd international conference on big data security on cloud (bigdatasecurity), ieee international conference on high performance and smart computing (hpsc), and ieee international conference on intelligent data and security (ids) (pp. 167 - 172 ). IEEE . Search in Google Scholar

[3] Singh, B., & Gupta, A. (2015). Recent trends in intelligent transportation systems: a review. Journal of transport literature, 9(2), 30-34. Singh B. Gupta A. ( 2015 ). Recent trends in intelligent transportation systems: a review . Journal of transport literature , 9 ( 2 ), 30 - 34 . Search in Google Scholar

[4] Li, C., & Xu, P. (2021). Application on traffic flow prediction of machine learning in intelligent transportation. Neural Computing and Applications, 33(2), 613-624. Li C. Xu P. ( 2021 ). Application on traffic flow prediction of machine learning in intelligent transportation . Neural Computing and Applications , 33 ( 2 ), 613 - 624 . Search in Google Scholar

[5] Tu, B., Zhao, Y., Yin, G., Jiang, N., Li, G., & Zhang, Y. (2022). Research on intelligent calculation method of intelligent traffic flow index based on big data mining. International Journal of Intelligent Systems, 37(2), 1186-1203. Tu B. Zhao Y. Yin G. Jiang N. Li G. Zhang Y. ( 2022 ). Research on intelligent calculation method of intelligent traffic flow index based on big data mining . International Journal of Intelligent Systems , 37 ( 2 ), 1186 - 1203 . Search in Google Scholar

[6] Veres, M., & Moussa, M. (2019). Deep learning for intelligent transportation systems: A survey of emerging trends. IEEE Transactions on Intelligent transportation systems, 21(8), 3152-3168. Veres M. Moussa M. ( 2019 ). Deep learning for intelligent transportation systems: A survey of emerging trends . IEEE Transactions on Intelligent transportation systems , 21 ( 8 ), 3152 - 3168 . Search in Google Scholar

[7] Haghighat, A. K., Ravichandra-Mouli, V., Chakraborty, P., Esfandiari, Y., Arabi, S., & Sharma, A. (2020). Applications of deep learning in intelligent transportation systems. Journal of Big Data Analytics in Transportation, 2, 115-145. Haghighat A. K. Ravichandra-Mouli V. Chakraborty P. Esfandiari Y. Arabi S. Sharma A. ( 2020 ). Applications of deep learning in intelligent transportation systems . Journal of Big Data Analytics in Transportation , 2 , 115 - 145 . Search in Google Scholar

[8] Lv, Z., Zhang, S., & Xiu, W. (2020). Solving the security problem of intelligent transportation system with deep learning. IEEE Transactions on Intelligent Transportation Systems, 22(7), 4281-4290. Lv Z. Zhang S. Xiu W. ( 2020 ). Solving the security problem of intelligent transportation system with deep learning . IEEE Transactions on Intelligent Transportation Systems , 22 ( 7 ), 4281 - 4290 . Search in Google Scholar

[9] Chen, C., Liu, B., Wan, S., Qiao, P., & Pei, Q. (2020). An edge traffic flow detection scheme based on deep learning in an intelligent transportation system. IEEE Transactions on Intelligent Transportation Systems, 22(3), 1840-1852. Chen C. Liu B. Wan S. Qiao P. Pei Q. ( 2020 ). An edge traffic flow detection scheme based on deep learning in an intelligent transportation system . IEEE Transactions on Intelligent Transportation Systems , 22 ( 3 ), 1840 - 1852 . Search in Google Scholar

[10] Iftikhar, S., Asim, M., Zhang, Z., Muthanna, A., Chen, J., El-Affendi, M., … & Abd El-Latif, A. A. (2023). Target detection and recognition for traffic congestion in smart cities using deep learning-enabled UAVs: A review and analysis. Applied Sciences, 13(6), 3995. Iftikhar S. Asim M. Zhang Z. Muthanna A. Chen J. El-Affendi M. Abd El-Latif A. A. ( 2023 ). Target detection and recognition for traffic congestion in smart cities using deep learning-enabled UAVs: A review and analysis . Applied Sciences , 13 ( 6 ), 3995 . Search in Google Scholar

[11] Sudha, D., & Priyadarshini, J. (2020). An intelligent multiple vehicle detection and tracking using modified vibe algorithm and deep learning algorithm. Soft Computing, 24(22), 17417-17429. Sudha D. Priyadarshini J. ( 2020 ). An intelligent multiple vehicle detection and tracking using modified vibe algorithm and deep learning algorithm . Soft Computing , 24 ( 22 ), 17417 - 17429 . Search in Google Scholar

[12] Guerrero‐Ibañez, J., Contreras‐Castillo, J., & Zeadally, S. (2021). Deep learning support for intelligent transportation systems. Transactions on Emerging Telecommunications Technologies, 32(3), e4169. Guerrero‐Ibañez J. Contreras‐Castillo J. Zeadally S. ( 2021 ). Deep learning support for intelligent transportation systems . Transactions on Emerging Telecommunications Technologies , 32 ( 3 ), e4169 . Search in Google Scholar

[13] Qiu, L., Zhang, D., Tian, Y., & Al-Nabhan, N. (2021). Deep learning-based algorithm for vehicle detection in intelligent transportation systems. The Journal of Supercomputing, 77(10), 11083-11098. Qiu L. Zhang D. Tian Y. Al-Nabhan N. ( 2021 ). Deep learning-based algorithm for vehicle detection in intelligent transportation systems . The Journal of Supercomputing , 77 ( 10 ), 11083 - 11098 . Search in Google Scholar

[14] Lou, L., Zhang, Q., Liu, C., Sheng, M., Zheng, Y., & Liu, X. (2019, May). Vehicles detection of traffic flow video using deep learning. In 2019 IEEE 8th data driven control and learning systems conference (DDCLS) (pp. 1012-1017). IEEE. Lou L. Zhang Q. Liu C. Sheng M. Zheng Y. Liu X. ( 2019 , May ). Vehicles detection of traffic flow video using deep learning . In 2019 IEEE 8th data driven control and learning systems conference (DDCLS) (pp. 1012 - 1017 ). IEEE . Search in Google Scholar

[15] Ravish, R., & Swamy, S. R. (2021). Intelligent traffic management: A review of challenges, solutions, and future perspectives. Transport and Telecommunication Journal, 22(2), 163-182. Ravish R. Swamy S. R. ( 2021 ). Intelligent traffic management: A review of challenges, solutions, and future perspectives . Transport and Telecommunication Journal , 22 ( 2 ), 163 - 182 . Search in Google Scholar

[16] Zuraimi, M. A. B., & Zaman, F. H. K. (2021, April). Vehicle detection and tracking using YOLO and DeepSORT. In 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) (pp. 23-29). IEEE. Zuraimi M. A. B. Zaman F. H. K. ( 2021 , April ). Vehicle detection and tracking using YOLO and DeepSORT . In 2021 IEEE 11th IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE) (pp. 23 - 29 ). IEEE . Search in Google Scholar

[17] Polson, N. G., & Sokolov, V. O. (2017). Deep learning for short-term traffic flow prediction. Transportation Research Part C: Emerging Technologies, 79, 1-17. Polson N. G. Sokolov V. O. ( 2017 ). Deep learning for short-term traffic flow prediction . Transportation Research Part C: Emerging Technologies , 79 , 1 - 17 . Search in Google Scholar

[18] Kashyap, A. A., Raviraj, S., Devarakonda, A., Nayak K, S. R., KV, S., & Bhat, S. J. (2022). Traffic flow prediction models–A review of deep learning techniques. Cogent Engineering, 9(1), 2010510. Kashyap A. A. Raviraj S. Devarakonda A. Nayak K S. R. KV S. Bhat S. J. ( 2022 ). Traffic flow prediction models–A review of deep learning techniques . Cogent Engineering , 9 ( 1 ), 2010510 . Search in Google Scholar

[19] Vijayaraghavan, V., & Laavanya, M. (2019). Vehicle classification and detection using deep learning. Int. J. Eng. Adv. Technol, 9, 24-28. Vijayaraghavan V. Laavanya M. ( 2019 ). Vehicle classification and detection using deep learning . Int. J. Eng. Adv. Technol , 9 , 24 - 28 . Search in Google Scholar

[20] Hsu, S. C., Huang, C. L., & Chuang, C. H. (2018, January). Vehicle detection using simplified fast R-CNN. In 2018 International Workshop on Advanced Image Technology (IWAIT) (pp. 1-3). IEEE. Hsu S. C. Huang C. L. Chuang C. H. ( 2018 , January ). Vehicle detection using simplified fast R-CNN . In 2018 International Workshop on Advanced Image Technology (IWAIT) (pp. 1 - 3 ). IEEE . Search in Google Scholar

[21] Mittal, U., Potnuru, R., & Chawla, P. (2020, June). Vehicle detection and classification using improved faster region based convolution neural network. In 2020 8th international conference on reliability, Infocom technologies and optimization (trends and future directions)(ICRITO) (pp. 511-514). IEEE. Mittal U. Potnuru R. Chawla P. ( 2020 , June ). Vehicle detection and classification using improved faster region based convolution neural network . In 2020 8th international conference on reliability, Infocom technologies and optimization (trends and future directions)(ICRITO) (pp. 511 - 514 ). IEEE . Search in Google Scholar

[22] Alam, M. K., Ahmed, A., Salih, R., Al Asmari, A. F. S., Khan, M. A., Mustafa, N., … & Islam, S. (2023). Faster RCNN based robust vehicle detection algorithm for identifying and classifying vehicles. Journal of Real-Time Image Processing, 20(5), 93. Alam M. K. Ahmed A. Salih R. Al Asmari A. F. S. Khan M. A. Mustafa N. Islam S. ( 2023 ). Faster RCNN based robust vehicle detection algorithm for identifying and classifying vehicles . Journal of Real-Time Image Processing , 20 ( 5 ), 93 . Search in Google Scholar

[23] Ojha, A., Sahu, S. P., & Dewangan, D. K. (2022). VDNet: vehicle detection network using computer vision and deep learning mechanism for intelligent vehicle system. In Proceedings of Emerging Trends and Technologies on Intelligent Systems: ETTIS 2021 (pp. 101-113). Springer Singapore. Ojha A. Sahu S. P. Dewangan D. K. ( 2022 ). VDNet: vehicle detection network using computer vision and deep learning mechanism for intelligent vehicle system . In Proceedings of Emerging Trends and Technologies on Intelligent Systems: ETTIS 2021 (pp. 101 - 113 ). Springer Singapore . Search in Google Scholar