Connected Vehicle Approach for Pavement Roughness EvaluationSource: Journal of Infrastructure Systems:;2014:;Volume ( 020 ):;issue: 001Author:Raj Bridgelall
DOI: 10.1061/(ASCE)IS.1943-555X.0000167Publisher: American Society of Civil Engineers
Abstract: Connected vehicles present an opportunity to monitor pavement condition continuously by analyzing data from vehicle-integrated position sensors and accelerometers. The current practice of characterizing and reporting ride quality is to compute the international roughness index (IRI) from elevation profile or bumpiness measurements. However, the IRI is defined only for a reference speed of
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| contributor author | Raj Bridgelall | |
| date accessioned | 2017-05-08T21:53:56Z | |
| date available | 2017-05-08T21:53:56Z | |
| date copyright | March 2014 | |
| date issued | 2014 | |
| identifier other | %28asce%29la%2E1943-4170%2E0000023.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/65759 | |
| description abstract | Connected vehicles present an opportunity to monitor pavement condition continuously by analyzing data from vehicle-integrated position sensors and accelerometers. The current practice of characterizing and reporting ride quality is to compute the international roughness index (IRI) from elevation profile or bumpiness measurements. However, the IRI is defined only for a reference speed of | |
| publisher | American Society of Civil Engineers | |
| title | Connected Vehicle Approach for Pavement Roughness Evaluation | |
| type | Journal Paper | |
| journal volume | 20 | |
| journal issue | 1 | |
| journal title | Journal of Infrastructure Systems | |
| identifier doi | 10.1061/(ASCE)IS.1943-555X.0000167 | |
| tree | Journal of Infrastructure Systems:;2014:;Volume ( 020 ):;issue: 001 | |
| contenttype | Fulltext |