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Implementing unsupervised machine learning to gain...
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Implementing unsupervised machine learning to gain a better understanding of the asphalt pavement conditions of Ontario provincial highways

Abstract

Currently, the Ministry of Transportation of Ontario (MTO) obtains its pavement condition data via the Automated Road Analyzer (ARAN), an automated data collection vehicle and system, as part of its pavement management system activities. However, the pavement surface distress types that ARAN is able to discern are limited to cracking only. Without changing the formula used for the Pavement Condition Index, the pavement performance category …

Authors

Zhao G; Huyan J; Tighe S; Li W

Volume

2019-June

Publication Date

January 1, 2019

Conference proceedings

Proceedings Annual Conference Canadian Society for Civil Engineering