Artificial Intelligence-Enabled Traffic Monitoring System
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References listed on IDEAS
- Xiaolei Ma & Haiyang Yu & Yunpeng Wang & Yinhai Wang, 2015. "Large-Scale Transportation Network Congestion Evolution Prediction Using Deep Learning Theory," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-17, March.
- Baykal-Gürsoy, M. & Xiao, W. & Ozbay, K., 2009. "Modeling traffic flow interrupted by incidents," European Journal of Operational Research, Elsevier, vol. 195(1), pages 127-138, May.
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Cited by:
- Abdul Rashid Mussah & Yaw Adu-Gyamfi, 2022. "Machine Learning Framework for Real-Time Assessment of Traffic Safety Utilizing Connected Vehicle Data," Sustainability, MDPI, vol. 14(22), pages 1-16, November.
- Andrzej Paszkiewicz & Bartosz Pawłowicz & Bartosz Trybus & Mateusz Salach, 2021. "Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication," Energies, MDPI, vol. 14(23), pages 1-17, December.
- Minjung Kim & Max Schrader & Hwan-Sik Yoon & Joshua A. Bittle, 2023. "Optimal Traffic Signal Control Using Priority Metric Based on Real-Time Measured Traffic Information," Sustainability, MDPI, vol. 15(9), pages 1-18, May.
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Keywords
traffic monitoring; intelligent transportation systems; traffic queues; vehicle counts; artificial intelligence; deep learning;All these keywords.
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