Estimating Pavement Condition by Leveraging Crowdsourced Data
Yangsong Gu,
Mohammad Khojastehpour,
Xiaoyang Jia
et al.
Abstract:Monitoring pavement conditions is critical to pavement management and maintenance. Traditionally, pavement distress is mainly identified via accelerometers, videos, and laser scanning. However, the geographical coverage and temporal frequency are constrained by the limited amount of equipment and labor, which sometimes may delay road maintenance. By contrast, crowdsourced data, in a manner of crowdsensing, can provide real-time and valuable roadway information for extensive coverage. This study exploited crowd… Show more
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