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Revealing Urban Community Structures by Fusing Multisource Transportation Data
Publisher: ASCE
Abstract: Revealing urban community structures of a city is of great importance for investigating urban development and sprawl behind the movement dynamics. However, most studies focus on delineating urban community structure and ...
Exploring the Impact of Extreme Weather on Urban Road Traffic Networks Based on Percolation Theory
Publisher: American Society of Civil Engineers
Abstract: Urban transportation, a vital artery for production and daily life, often suffers severe disruption during extreme weather events. Specifically, coastal cities often face the brunt of extreme weather events, including ...
Automatic Pixel-Level Segmentation of Multiple Pavement Distresses and Surface Design Features with PDSNet II
Publisher: American Society of Civil Engineers
Abstract: Effective distress detection and quantitative analysis play a crucial role in road maintenance and driving safety. The Pavement distress segmentation network (PDSNet) is designed to combine the pyramid scene parsing network ...
PCDNet: Seed Operation–Based Deep Learning Model for Pavement Crack Detection on 3D Asphalt Surface
Publisher: ASCE
Abstract: The detection of pavement crack plays a critical role in pavement maintenance and rehabilitation because pavement cracking is one of the most important indicators for the pavement condition evaluation, as well as an early ...
Line-Structured Light Rut Detection of Asphalt Pavement with Pavement Markings Interference under Strong Light
Publisher: ASCE
Abstract: The construction of highways has been well-developed worldwide. Meanwhile, the heavy traffic flow brings huge pressure on highway maintenance. Pavement rutting is one of the major pavement distresses and its detection has ...