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英国交通研究实验室:2025众包数据在道路状况评估中的应用研究报告(中译版)(63页).pdf

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1、 PROJECT REPORT ACA109 The application of crowdsourced data in road condition assessment R Lee,M Courtier and A Wright Final ACA109 Report details Report prepared for:TRL Academy Project/customer reference:SIP23003 Copyright:TRL Limited Report date:November 2024 Report status/version:Final Quality a

2、pproval:James Peeling(Project Manager)James Peeling Alex Wright(Technical Reviewer)Alex Wright Disclaimer This report has been produced by TRL Limited(TRL)as part of its self-funded reinvestment research and development programme.TRL is a wholly owned subsidiary of the Transport Research Foundation(

3、TRF),a non-profit distributing company limited by guarantee,and established for the impartial furtherance of transport and related research,consultancy,and expert advice.We are a world leader in creating the future of transport and mobility,using evidence-based solutions and innovative thinking.We h

4、ave no shareholders,which makes us independent from government,industry and academia.TRF,through TRL,reinvests its profits in self-directed and funded research projects,financial support for participation in grant-funded research projects,and support for PhD students,both staff and external.The info

5、rmation contained herein is the property of TRL Limited.Whilst every effort has been made to ensure that the matter presented in this report is relevant,accurate and up-to-date,TRL Limited cannot accept any liability for any error or omission,or reliance on part or all of the content in another cont

6、ext.Final 1 ACA109 Table of Contents Executive Summary 3 Acknowledgements 5 1 Introduction 6 2 Background current approach to the collection and use of road condition data on strategic roads 7 2.1 Measurement of functional condition(shape and appearance)7 2.2 Measurement of safety(skid resistance)8

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本文报告了利用众包数据评估公路状况的研究。主要内容包括: 1. 介绍了战略公路网(SRN)当前的公路状况数据收集和使用方法,包括功能条件(如粗糙度和外观)、安全条件(如滑阻)和结构条件(如承载能力)的测量。 2. 探讨了众包数据的概念,包括车辆遥测数据和手机数据,并提供了本研究中使用的两种众包数据类型的示例。 3. 描述了数据收集、对齐和分析的方法,包括将众包数据与SRN的现有数据进行比较。 4. 探讨了众包数据在评估SRN功能条件和安全性方面的应用,包括与传统测量方法(如TRACS和SCRIM)的比较。 5. 讨论了众包数据在SRN覆盖范围方面的要求,以及如何提高数据质量和可用性。 6. 总结了研究结果,并提出了将众包数据纳入SRN公路状况管理的建议。 总体而言,研究表明众包数据可以作为SRN公路状况管理的补充,但需要进一步改进数据质量和覆盖范围。
车辆传感器数据如何评估道路功能状况? 车辆传感器数据如何识别和追踪特定坑洼? 移动电话数据如何评估道路安全状况?
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