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    Repeatability in Crack Data Collection on Flexible Pavements: Comparison between Surveys Using Video Cameras, Laser Cameras, and a Simplified Manual Survey 

    Source: Journal of Transportation Engineering, Part A: Systems:;2005:;Volume ( 131 ):;issue: 007
    Author(s): Petra Offrell; Leif Sjögren; Rolf Magnusson
    Publisher: American Society of Civil Engineers
    Abstract: Crack data can be collected using manual or automatic surveys. Traditionally, manual methods are used, and they are still the most common. Changing into automatic systems will enhance the efficiency of data collection as ...
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    Predicting Pavement Condition Index Using an ML Approach for a Municipal Street Network 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2025:;Volume ( 151 ):;issue: 002:;page 04025025-1
    Author(s): Muhammad Amjad Afridi; Sigurdur Erlingsson; Leif Sjögren; Cristofer Englund
    Publisher: American Society of Civil Engineers
    Abstract: Machine learning (ML) models are increasingly getting attention in predicting pavement maintenance methods to improve decision-making. This study investigates the use of ML at the municipal level to predict the street ...
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    An Approach for Realistic Simulation of Real Road Condition in a Moving Base Driving Simulator 

    Source: Journal of Computing and Information Science in Engineering:;2011:;volume( 011 ):;issue: 004:;page 41009
    Author(s): Anne Bolling; Jonas Jansson; Mattias Hjort; Mats Lidström; Staffan Nordmark; Håkan Sehammar; Leif Sjögren
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: With today’s advanced measurement equipment for monitoring road condition, it is possible to measure road geometry at high precision within a large span of wavelengths. Detailed information about ...
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    DSpace software copyright © 2002-2015  DuraSpace
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