Improving Pedestrian Infrastructure Inventory in Massachusetts Using Mobile LiDAR
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2019-09-01
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Edition:Final Report - September 2019 [Nov. 2019 – Sept. 2019]
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Abstract:Pedestrian infrastructure is one of the most vital transportation infrastructures for pedestrians and wheelchair users who rely on quality sidewalks to facilitate safe and uninterrupted trips in their every day lives. To meet the obligations of the Americans with Disabilities Act (ADA) Transition Plan and to make informed investment decisions in transportation asset management, MassDOT is actively seeking to improve data on existing pedestrian infrastructure to better understand the needs for maintenance and construction of pedestrian facilities. This study develops a new pedestrian infrastructure inventory and geometry measurement method by leveraging emerging mobile light detection and ranging (LiDAR), deep learning, and computer vision technologies, consisting of two computer-aided algorithms with measurements for sidewalk inventory and curb ramp inventory. The experimental tests conducted on the complete State Route 9 show that mobile LiDAR is an effective and efficient technology for network-level pedestrian infrastructure inventory. More than 85 miles of sidewalk and a total 1,297 curb ramps along State Route 9 were inventoried at the rates of 7.0 min/mile and 2.2 min/mile, respectively. This study also establishes a complete LiDAR point cloud processing pipeline (including algorithms, tools, and procedures) for many other critical transportation assets.
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