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RISThree-Dimensional Object Detection and High-Resolution Traffic Parameter Extraction Using Low-Resolution LiDAR Data
Publisher: American Society of Civil Engineers
Abstract: Traffic volume data collection is a crucial aspect of transportation engineering and urban planning because it provides vital insights into traffic patterns, congestion, and infrastructure efficiency. Traditional manual ...
Machine Learning Framework for Improving Accuracy of Probe Speed Data
Publisher: ASCE
Abstract: A tremendous potential exists for using probe data to support various traffic operations activities. However, limited real-time probe data, especially on arterial roads, have become a barrier to realizing the full potential ...
Three-Dimensional Object Detection and High-Resolution Traffic Parameter Extraction Using Low-Resolution LiDAR Data
Publisher: American Society of Civil Engineers
Abstract: Traffic volume data collection is a crucial aspect of transportation engineering and urban planning because it provides vital insights into traffic patterns, congestion, and infrastructure efficiency. Traditional manual ...