Probabilistic traffic density estimation using measurements from Unmanned Aerial Vehicles
Author:
Affiliation:
1. University of Cyprus,KIOS Research and Innovation Center of Excellence,Department of Electrical and Computer Engineering
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9836022/9835714/09836098.pdf?arnumber=9836098
Reference20 articles.
1. Development of UAV-Based Target Tracking and Recognition Systems
2. Estimating the Origin-Destination matrix using link count observations from Un-manned Aerial Vehicles;englezou;2021 IEEE International Intelligent Transportation Systems Conference (ITSC),2021
3. On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment
4. A non-parametric Bayesian framework for traffic-state estimation at signalized intersections
5. A Hybrid Modelling Approach for Traffic State Estimation at Signalized Intersections
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Enhancing Traffic State Estimation Using UAV-Based Measurements;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04
2. Real-Time Unmanned Aerial Vehicle-Based Traffic State Estimation for Multi-Regional Traffic Networks;Transportation Research Record: Journal of the Transportation Research Board;2024-01-17
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