Research on Vehicle Traffic Monitoring Technology in Traffic Big Data Environment

[1]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

[2]Alam, M., Ferreira, J., & Fonseca, J. (2016). Introduction to intelligent transportation systems. Intelligent transportation systems: Dependable vehicular communications for improved road safety, 1-17.Search in Google Scholar

[3]Suryadithia, R., Faisal, M., Putra, A. S., & Aisyah, N. (2021). Technological developments in the intelligent transportation system (ITS). International Journal of Science, Technology & Management, 2(3), 837-843.Search in Google Scholar

[4]Luque-Baena, R. M., López-Rubio, E., Domínguez, E., Palomo, E. J., & Jerez, J. M. (2015). A self-organizing map to improve vehicle detection in flow monitoring systems. Soft Computing, 19, 2499-2509.Search in Google Scholar

[5]Azimjonov, J., & Özmen, A. (2021). A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways. Advanced Engineering Informatics, 50, 101393.Search in Google Scholar

[6]Wen-juan, X., & Jian-feng, L. (2018, May). Application of vision sensing technology in urban intelligent traffic control system. In 2018 4th International Conference on Computer and Technology Applications (ICCTA) (pp. 74-77). IEEE.Search in Google Scholar

[7]Jeng, S. T., & Chu, L. (2014, October). A high-definition traffic performance monitoring system with the inductive loop detector signature technology. In 17th International IEEE Conference on Intelligent Transportation Systems (ITSC) (pp. 1820-1825). IEEE.Search in Google Scholar

[8]Comi, A., Rossolov, A., Polimeni, A., & Nuzzolo, A. (2021). Private car OD flow estimation based on automated vehicle monitoring data: Theoretical issues and empirical evidence. Information, 12(12), 493.Search in Google Scholar

[9]Hamid, A. H. F. A., Chang, K. W., Rashid, R. A., Mohd, A., Abdullah, M. S., Sarijari, M. A., & Abbas, M. (2019). Smart vehicle monitoring and analysis system with IoT technology. International Journal of Integrated Engineering, 11(4).Search in Google Scholar

[10]Elharrouss, O., Almaadeed, N., & Al-Maadeed, S. (2021). A review of video surveillance systems. Journal of Visual Communication and Image Representation, 77, 103116.Search in Google Scholar

[11]Ye, Z., Wei, Y., Li, J., Yan, G., & Wang, L. (2022). A distributed pavement monitoring system based on Internet of Things. Journal of traffic and transportation engineering (English edition), 9(2), 305-317.Search in Google Scholar

[12]Abbondati, F., Biancardo, S. A., Veropalumbo, R., & Dell’Acqua, G. (2021). Surface monitoring of road pavements using mobile crowdsensing technology. Measurement, 171, 108763.Search in Google Scholar

[13]Di Graziano, A., Marchetta, V., & Cafiso, S. (2020). Structural health monitoring of asphalt pavements using smart sensor networks: A comprehensive review. Journal of Traffic and Transportation Engineering (English Edition), 7(5), 639-651.Search in Google Scholar

[14]Alam, M., Ferreira, J., & Fonseca, J. (2016). Intelligent transportation systems. Studies in Systems, Decision and Control.Search in Google Scholar

[15]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

[16]Sumalee, A., & Ho, H. W. (2018). Smarter and more connected: Future intelligent transportation system. Iatss Research, 42(2), 67-71.Search in Google Scholar

[17]Zhang, J. S., Cao, J., & Mao, B. (2017, July). Application of deep learning and unmanned aerial vehicle technology in traffic flow monitoring. In 2017 International Conference on Machine Learning and Cybernetics (ICMLC) (Vol. 1, pp. 189-194). IEEE.Search in Google Scholar

[18]Bai, Y. (2021). Vehicle flow positioning and real-time monitoring based on RFID vehicle flow speeding automatic monitoring algorithm. Advances in Transportation Studies, 54.Search in Google Scholar

[19]Ivanov, M., Danchenko, M., Barabanov, A., & Sokolitsyn, A. (2020, November). Manage traffic flows within the city using smart city technologies. In Proceedings of the International Scientific Conference-Digital Transformation on Manufacturing, Infrastructure and Service (pp. 1-7).Search in Google Scholar

[20]Zheng, H., Chang, W., & Wu, J. (2019). Traffic flow monitoring systems in smart cities: Coverage and distinguishability among vehicles. Journal of Parallel and Distributed Computing, 127, 224-237.Search in Google Scholar

[21]Naik, D. R., Das, L. B., & Bindiya, T. S. (2018, October). Wireless sensor networks with Zigbee and WiFi for environment monitoring, traffic management and vehicle monitoring in smart cities. In 2018 IEEE 3rd international conference on computing, communication and security (ICCCS) (pp. 46-50). IEEE.Search in Google Scholar

[22]Upadhye, S., Neelakandan, S., Thangaraj, K., Babu, D. V., Arulkumar, N., & Qureshi, K. (2023). Modeling of real time traffic flow monitoring system using deep learning and unmanned aerial vehicles. Journal of Mobile Multimedia, 477-496.Search in Google Scholar

[23]Jain, N. K., Saini, R. K., & Mittal, P. (2019). A review on traffic monitoring system techniques. Soft computing: Theories and applications: Proceedings of SoCTA 2017, 569-577.Search in Google Scholar

[24]Azimjonov, J., Özmen, A., & Varan, M. (2023). A vision-based real-time traffic flow monitoring system for road intersections. Multimedia tools and applications, 82(16), 25155-25174.Search in Google Scholar

[25]Alhuthali, S. A. H., Zia, M. Y. I., & Rashid, M. (2022, January). A simplified traffic flow monitoring system using computer vision techniques. In 2022 2nd International Conference on Computing and Information Technology (ICCIT) (pp. 167-170). IEEE.Search in Google Scholar

[26]Liu, B., Zhang, T., & Hu, W. (2022). Intelligent traffic flow prediction and analysis based on internet of things and big data. Computational intelligence and neuroscience, 2022(1), 6420799.Search in Google Scholar

[27]Chuang Ma,Minghui Deng & Yanling Yin. (2024). Pig face recognition based on improved YOLOv4 lightweight neural network. Information Processing in Agriculture(3),356-371.Search in Google Scholar

[28]Yongbo Yu,Yage Zhang,Junyang Yu & Jianwei Yue. (2024). Lightweight decoder U-net crack segmentation network based on depthwise separable convolution. Multimedia Systems(5),295-295.Search in Google Scholar

[29]Rashad N. Razak & Hadeel N. Abdullah. (2024). Improving multi-object detection and tracking with deep learning, DeepSORT, and frame cancellation techniques. Open Engineering(1),Search in Google Scholar

[30]Fangjun Luan,Weiyi Cao & Shuai Yuan. (2024). Relative position matrix and multi-scale feature fusion for writer-independent online signature verification. Heliyon(18),e37655-e37655.Search in Google Scholar

[31]Chuanhui Shan,Xinlong Geng & Chao Han. (2024). Remote sensing image road network detection based on channel attention mechanism. Heliyon(18),e37470-e37470.Search in Google Scholar