Traffic Density Estimation at Intersections via Image-Based Object Reference Method

Author:

Minh Hieu Bui,Minh Quang Tran

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Ghazali, W.N.W.B.W., Zulkifli, C.N.B., Ponrahono, Z.: The effect of traffic congestion on quality of community life. In: Wahid, P.A.J., Aziz Abdul Samad, P.I.D.A., Sheikh Ahmad, P.D.S., Pujinda, A.P.D.P. (eds.) Carving The Future Built Environment: Environmental, Economic and Social Resilience, vol. 2, pp. 759–766. European Proceedings of Multidisciplinary Sciences (2017)

2. Karthik Srivathsa, D.S., Kamalraj, R.: Vehicle detection and counting of a vehicle using Opencv. Int. Res. J. Mod. Eng. Technol. Sci. IRJMETS 03(05), 04 (2021)

3. Tahir, H., Shahbaz Khan, M., Owais Tariq, M.: Performance analysis and comparison of faster R-CNN, mask R-CNN and RESNET50 for the detection and counting of vehicles. In: 2021 International Conference on Computing, Communication, and Intelligent Systems, ICCCIS (2021)

4. Vipin, J., Ashlesh, S., Aditya, D., Lakshminarayanan, S.: Traffic density estimation from highly noisy image sources. In: Transportation Research Board 91st Annual Meeting, no. 12–1849. TRB, Washington, D.C. (2012)

5. Mai-Tan, H., Pham-Nguyen, H.N., Long, N.X., et al.: Mining urban traffic condition from crowd-sourced data. SN Comput. Sci. 1, 225 (2020)

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