Discovering temporal and spatial patterns and characteristics of pavement distress condition data on major corridors in New Mexico

Author:

Chen Cong,Zhang Su,Zhang Guohui,Bogus Susan M.,Valentin Vanessa

Publisher

Elsevier BV

Subject

General Environmental Science,Transportation,Geography, Planning and Development

Reference50 articles.

1. Bandini, P., Bogus, S.M., Montoya, K.R., 2012. Improving NMDOT’s Pavement Distress Survey Methodology and Developing Correlations between FHWA’s HPMS Distress Data and PMS Data. NMDOT, Santa Fe, NM.

2. Barba, D., Delagnes, P., 2000. Markovian-based detection and extraction of defects on textured surfaces by spatio-temporal video processing. In: Proceedings of the IEEE Region 10 Annual International Conference (Proceedings/TENCON 2000). pp. 305–310.

3. Impact of light rail on traffic congestion in Denver;Bhattacharjee;J. Transport Geogr.,2012

4. Assessment of data quality for evaluations of manual pavement distress;Bogus;Transport. Res. Record,2010

5. Rank correlation method for evaluating manual pavement distress data variability;Bogus;ASCE J. Infrastruct. Syst.,2010

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