Implementing Convolution Neural Network (CNN) Based Approach for Traffic Queue Length and Delay Estimation at Highway Ramps
Author:
Affiliation:
1. Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT.
2. Assistant Professor, Dept. of Civil and Environmental Engineering, Univ. of Utah, Salt Lake City, UT.
Publisher
American Society of Civil Engineers
Link
https://ascelibrary.org/doi/pdf/10.1061/9780784485224.032
Reference19 articles.
1. Al-Ariny Z. Abdelwahab M. A. Fakhry M. and Hasaneen E. S. (2020). An Efficient Vehicle Counting Method Using Mask R-CNN. Proceedings of 2020 International Conference on Innovative Trends in Communication and Computer Engineering ITCE 2020 232–237.
2. Bochkovskiy A. Wang C.-Y. and Liao H.-Y. M. (2020). YOLOv4: Optimal Speed and Accuracy of Object Detection. Retrieved February 21 2023 from https://github.com/AlexeyAB/darknet.
3. Farhadmanesh M. Rashidi A. and Marković N. (2021). Implementing Haar Cascade Classifiers for Automated Rapid Detection of Light Aircraft at Local Airports. Computing in Civil Engineering 2021 - Selected Papers from the ASCE International Conference on Computing in Civil Engineering 2021 17–25.
4. General Aviation Aircraft Identification at Non-Towered Airports Using a Two-Step Computer Vision-Based Approach;Farhadmanesh M.;IEEE Access,2022
5. Applications of Deep Learning in Intelligent Transportation Systems
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