1. Comparison of roughness prediction model developed using hdm-4 and genetic programming (gp) for urban roads of patiala
Authors : Tanuj Chopra
Pages : 26-32
DOI : http://dx.doi.org/10.21172/1.171.04
Keywords : Urban Roads, Roughness, HDM-4, GP, RSL and PMMS. Abstract :Road sections retrograde and results in disfiguring of the entire road section prior to its design life and this is due to the insufficient maintenance and rehabilitation activities. Maintenance activities plays major role in the stability of any particular level of serviceability (LOS). For determining maintenance strategies, Roughness prediction is most important. In this study, Roughness prediction was done for the urban road sections of city Patiala. Roughness was predicted with the help of two different techniques i.e. HDM-4 and Genetic Programming (GP). For this study road condition surveys along with different distresses measurement was done for 16 road sections. Data was collected for four consecutive years, from 2012 to 2015 period. Out of these four years data, first two years data was used to develop model of Roughness using genetic programming technique and the next two years data was used to validate the models developed. This study also includes the development of Pavement Maintenance Management System (PMMS) for all the 16 sections by using the calibrated HDM-4 models for the urban road network. It also includes determination of Remaining Service Life (RSL) and selection of Optimum Maintenance strategies.
Citing this Journal Article :Tanuj Chopra, "Comparison of roughness prediction model developed using hdm-4 and genetic programming (gp) for urban roads of patiala", Volume 17 Issue 1 - July 2020, 26-32
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