Development of Pavement Distress Deterioration Prediction Models for Urban Road Network Using Genetic Programming
The objective of the present study is to develop models to predict the deterioration of pavement distress of the urban road network. Genetic programming (GP) has been used to develop five models for the prediction of pavement distress: Model 1 for the cracking progression, Model 2 for the ravelling...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/1253108 |
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| author | Tanuj Chopra Manoranjan Parida Naveen Kwatra Palika Chopra |
| author_facet | Tanuj Chopra Manoranjan Parida Naveen Kwatra Palika Chopra |
| author_sort | Tanuj Chopra |
| collection | DOAJ |
| description | The objective of the present study is to develop models to predict the deterioration of pavement distress of the urban road network. Genetic programming (GP) has been used to develop five models for the prediction of pavement distress: Model 1 for the cracking progression, Model 2 for the ravelling progression, Model 3 for the pothole progression, Model 4 for the rutting progression, and Model 5 for the roughness progression. The data have been collected from the roads of Patiala City, Punjab, India; during the years 2012–2015, the network of 16 roads have been selected for the data collection purposes. The data have been divided into two sets, that is, training dataset (data collected during the years 2012 and 2013) and validation dataset (data collected during the years 2014 and 2015). The two fitness functions have been used for the evaluation of the models, that is, coefficient of determination (R2) and root mean square error (RMSE), and it is inferred that GP models predict with high accuracy for pavement distress and help the decision makers for adequate and timely fund allocations for preservation of the urban road network. |
| format | Article |
| id | doaj-art-5f2a7730bff742749adbe99415a31927 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-5f2a7730bff742749adbe99415a319272025-02-03T01:02:36ZengWileyAdvances in Civil Engineering1687-80861687-80942018-01-01201810.1155/2018/12531081253108Development of Pavement Distress Deterioration Prediction Models for Urban Road Network Using Genetic ProgrammingTanuj Chopra0Manoranjan Parida1Naveen Kwatra2Palika Chopra3Department of Civil Engineering, Thapar University, Patiala, IndiaDepartment of Civil Engineering, Indian Institute of Technology, Roorkee, IndiaDepartment of Civil Engineering, Thapar University, Patiala, IndiaDepartment of Computer Science and Engineering, Thapar University, Patiala, IndiaThe objective of the present study is to develop models to predict the deterioration of pavement distress of the urban road network. Genetic programming (GP) has been used to develop five models for the prediction of pavement distress: Model 1 for the cracking progression, Model 2 for the ravelling progression, Model 3 for the pothole progression, Model 4 for the rutting progression, and Model 5 for the roughness progression. The data have been collected from the roads of Patiala City, Punjab, India; during the years 2012–2015, the network of 16 roads have been selected for the data collection purposes. The data have been divided into two sets, that is, training dataset (data collected during the years 2012 and 2013) and validation dataset (data collected during the years 2014 and 2015). The two fitness functions have been used for the evaluation of the models, that is, coefficient of determination (R2) and root mean square error (RMSE), and it is inferred that GP models predict with high accuracy for pavement distress and help the decision makers for adequate and timely fund allocations for preservation of the urban road network.http://dx.doi.org/10.1155/2018/1253108 |
| spellingShingle | Tanuj Chopra Manoranjan Parida Naveen Kwatra Palika Chopra Development of Pavement Distress Deterioration Prediction Models for Urban Road Network Using Genetic Programming Advances in Civil Engineering |
| title | Development of Pavement Distress Deterioration Prediction Models for Urban Road Network Using Genetic Programming |
| title_full | Development of Pavement Distress Deterioration Prediction Models for Urban Road Network Using Genetic Programming |
| title_fullStr | Development of Pavement Distress Deterioration Prediction Models for Urban Road Network Using Genetic Programming |
| title_full_unstemmed | Development of Pavement Distress Deterioration Prediction Models for Urban Road Network Using Genetic Programming |
| title_short | Development of Pavement Distress Deterioration Prediction Models for Urban Road Network Using Genetic Programming |
| title_sort | development of pavement distress deterioration prediction models for urban road network using genetic programming |
| url | http://dx.doi.org/10.1155/2018/1253108 |
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