A Comparison of Network Level Pavement Condition Assessment in Road Asset Management

Junzhe Wang; Ming Chen; Wei Gao; Zhenhua Guo; Yangjie Liu

doi:doi:10.11648/j.ijtet.20200603.14

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A Comparison of Network Level Pavement Condition Assessment in Road Asset Management

Junzhe Wang, Ming Chen, Wei Gao, Zhenhua Guo, Yangjie Liu

Received: 2 September 2020 Accepted: Published: 23 September 2020

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Abstract

Transportation agencies face the challenging task to maintain, preserve and improve infrastructure condition while with limited funding. Pavements are one of the major assets of roadway systems and pavement management system (PMS) are broadly accepted and implemented by agencies and organizations to maintain pavement structures at a high level of service. PMS is a set of tools to support the decision-making process for determining the demand of maintenance, prioritizing projects and optimizing funding allocation. Pavement condition monitoring may be evaluated or assessed by means of various indicators. Performance indicators are an essential part in a PMS, individual performance indicators (IPIs) and combined performance indicators (CPIs) are proposed to monitor and report pavement conditions. IPIs characterize the general condition of the various types of pavement distress which can be related to road performance. The CPI for each road type can be developed or calculated from IPIs. Focus on network level analysis of road pavements, the objective of this paper is to review and compare the development and application of performance indicators for assessment of pavement condition of different country’s guidelines. The utilization and integration mechanism of individual indicator are described and compared among selected country guidelines. The prospective indicators and techniques for future application are further discussed. It can be conclude from this study that the majority studied guidelines have placed great emphasis on surface distress and roughness for pavement condition assessment; international roughness index (IRI) is the most commonly used parameter for evaluation of road roughness due to its objectivity while the determination of surface distress is more subjective. The integration methods from IPIs into CPIs can be summarized as “deduct system method”, “sum system method”, “weighted sum method” and “equation method”.

DOI	10.11648/j.ijtet.20200603.14
Published in	International Journal of Transportation Engineering and Technology (Volume 6, Issue 3, September 2020)
Page(s)	95-101
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Roads & Highways, Maintenance & Inspection, Pavement Condition, Management

References

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APA Style

Junzhe Wang, Ming Chen, Wei Gao, Zhenhua Guo, Yangjie Liu. (2020). A Comparison of Network Level Pavement Condition Assessment in Road Asset Management. International Journal of Transportation Engineering and Technology, 6(3), 95-101. https://doi.org/10.11648/j.ijtet.20200603.14

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ACS Style

Junzhe Wang; Ming Chen; Wei Gao; Zhenhua Guo; Yangjie Liu. A Comparison of Network Level Pavement Condition Assessment in Road Asset Management. Int. J. Transp. Eng. Technol. 2020, 6(3), 95-101. doi: 10.11648/j.ijtet.20200603.14

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AMA Style

Junzhe Wang, Ming Chen, Wei Gao, Zhenhua Guo, Yangjie Liu. A Comparison of Network Level Pavement Condition Assessment in Road Asset Management. Int J Transp Eng Technol. 2020;6(3):95-101. doi: 10.11648/j.ijtet.20200603.14

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@article{10.11648/j.ijtet.20200603.14,
  author = {Junzhe Wang and Ming Chen and Wei Gao and Zhenhua Guo and Yangjie Liu},
  title = {A Comparison of Network Level Pavement Condition Assessment in Road Asset Management},
  journal = {International Journal of Transportation Engineering and Technology},
  volume = {6},
  number = {3},
  pages = {95-101},
  doi = {10.11648/j.ijtet.20200603.14},
  url = {https://doi.org/10.11648/j.ijtet.20200603.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20200603.14},
  abstract = {Transportation agencies face the challenging task to maintain, preserve and improve infrastructure condition while with limited funding. Pavements are one of the major assets of roadway systems and pavement management system (PMS) are broadly accepted and implemented by agencies and organizations to maintain pavement structures at a high level of service. PMS is a set of tools to support the decision-making process for determining the demand of maintenance, prioritizing projects and optimizing funding allocation. Pavement condition monitoring may be evaluated or assessed by means of various indicators. Performance indicators are an essential part in a PMS, individual performance indicators (IPIs) and combined performance indicators (CPIs) are proposed to monitor and report pavement conditions. IPIs characterize the general condition of the various types of pavement distress which can be related to road performance. The CPI for each road type can be developed or calculated from IPIs. Focus on network level analysis of road pavements, the objective of this paper is to review and compare the development and application of performance indicators for assessment of pavement condition of different country’s guidelines. The utilization and integration mechanism of individual indicator are described and compared among selected country guidelines. The prospective indicators and techniques for future application are further discussed. It can be conclude from this study that the majority studied guidelines have placed great emphasis on surface distress and roughness for pavement condition assessment; international roughness index (IRI) is the most commonly used parameter for evaluation of road roughness due to its objectivity while the determination of surface distress is more subjective. The integration methods from IPIs into CPIs can be summarized as “deduct system method”, “sum system method”, “weighted sum method” and “equation method”.},
 year = {2020}
}

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TY  - JOUR
T1  - A Comparison of Network Level Pavement Condition Assessment in Road Asset Management
AU  - Junzhe Wang
AU  - Ming Chen
AU  - Wei Gao
AU  - Zhenhua Guo
AU  - Yangjie Liu
Y1  - 2020/09/23
PY  - 2020
N1  - https://doi.org/10.11648/j.ijtet.20200603.14
DO  - 10.11648/j.ijtet.20200603.14
T2  - International Journal of Transportation Engineering and Technology
JF  - International Journal of Transportation Engineering and Technology
JO  - International Journal of Transportation Engineering and Technology
SP  - 95
EP  - 101
PB  - Science Publishing Group
SN  - 2575-1751
UR  - https://doi.org/10.11648/j.ijtet.20200603.14
AB  - Transportation agencies face the challenging task to maintain, preserve and improve infrastructure condition while with limited funding. Pavements are one of the major assets of roadway systems and pavement management system (PMS) are broadly accepted and implemented by agencies and organizations to maintain pavement structures at a high level of service. PMS is a set of tools to support the decision-making process for determining the demand of maintenance, prioritizing projects and optimizing funding allocation. Pavement condition monitoring may be evaluated or assessed by means of various indicators. Performance indicators are an essential part in a PMS, individual performance indicators (IPIs) and combined performance indicators (CPIs) are proposed to monitor and report pavement conditions. IPIs characterize the general condition of the various types of pavement distress which can be related to road performance. The CPI for each road type can be developed or calculated from IPIs. Focus on network level analysis of road pavements, the objective of this paper is to review and compare the development and application of performance indicators for assessment of pavement condition of different country’s guidelines. The utilization and integration mechanism of individual indicator are described and compared among selected country guidelines. The prospective indicators and techniques for future application are further discussed. It can be conclude from this study that the majority studied guidelines have placed great emphasis on surface distress and roughness for pavement condition assessment; international roughness index (IRI) is the most commonly used parameter for evaluation of road roughness due to its objectivity while the determination of surface distress is more subjective. The integration methods from IPIs into CPIs can be summarized as “deduct system method”, “sum system method”, “weighted sum method” and “equation method”.
VL  - 6
IS  - 3
ER  -

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Author Information

Junzhe Wang

Engineering Technology and Materials Research Center, China Academy of Transportation Sciences, Beijing, China
Ming Chen

Engineering Technology and Materials Research Center, China Academy of Transportation Sciences, Beijing, China
Wei Gao

Beijing Shoufa Highway Maintenance Engineering Co., Ltd, Beijing, China
Zhenhua Guo

Beijing Shoufa Highway Maintenance Engineering Co., Ltd, Beijing, China
Yangjie Liu

Beijing Shoufa Highway Maintenance Engineering Co., Ltd, Beijing, China

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APA Style

Junzhe Wang, Ming Chen, Wei Gao, Zhenhua Guo, Yangjie Liu. (2020). A Comparison of Network Level Pavement Condition Assessment in Road Asset Management. International Journal of Transportation Engineering and Technology, 6(3), 95-101. https://doi.org/10.11648/j.ijtet.20200603.14

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ACS Style

Junzhe Wang; Ming Chen; Wei Gao; Zhenhua Guo; Yangjie Liu. A Comparison of Network Level Pavement Condition Assessment in Road Asset Management. Int. J. Transp. Eng. Technol. 2020, 6(3), 95-101. doi: 10.11648/j.ijtet.20200603.14

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AMA Style

Junzhe Wang, Ming Chen, Wei Gao, Zhenhua Guo, Yangjie Liu. A Comparison of Network Level Pavement Condition Assessment in Road Asset Management. Int J Transp Eng Technol. 2020;6(3):95-101. doi: 10.11648/j.ijtet.20200603.14

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@article{10.11648/j.ijtet.20200603.14,
  author = {Junzhe Wang and Ming Chen and Wei Gao and Zhenhua Guo and Yangjie Liu},
  title = {A Comparison of Network Level Pavement Condition Assessment in Road Asset Management},
  journal = {International Journal of Transportation Engineering and Technology},
  volume = {6},
  number = {3},
  pages = {95-101},
  doi = {10.11648/j.ijtet.20200603.14},
  url = {https://doi.org/10.11648/j.ijtet.20200603.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijtet.20200603.14},
  abstract = {Transportation agencies face the challenging task to maintain, preserve and improve infrastructure condition while with limited funding. Pavements are one of the major assets of roadway systems and pavement management system (PMS) are broadly accepted and implemented by agencies and organizations to maintain pavement structures at a high level of service. PMS is a set of tools to support the decision-making process for determining the demand of maintenance, prioritizing projects and optimizing funding allocation. Pavement condition monitoring may be evaluated or assessed by means of various indicators. Performance indicators are an essential part in a PMS, individual performance indicators (IPIs) and combined performance indicators (CPIs) are proposed to monitor and report pavement conditions. IPIs characterize the general condition of the various types of pavement distress which can be related to road performance. The CPI for each road type can be developed or calculated from IPIs. Focus on network level analysis of road pavements, the objective of this paper is to review and compare the development and application of performance indicators for assessment of pavement condition of different country’s guidelines. The utilization and integration mechanism of individual indicator are described and compared among selected country guidelines. The prospective indicators and techniques for future application are further discussed. It can be conclude from this study that the majority studied guidelines have placed great emphasis on surface distress and roughness for pavement condition assessment; international roughness index (IRI) is the most commonly used parameter for evaluation of road roughness due to its objectivity while the determination of surface distress is more subjective. The integration methods from IPIs into CPIs can be summarized as “deduct system method”, “sum system method”, “weighted sum method” and “equation method”.},
 year = {2020}
}

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TY  - JOUR
T1  - A Comparison of Network Level Pavement Condition Assessment in Road Asset Management
AU  - Junzhe Wang
AU  - Ming Chen
AU  - Wei Gao
AU  - Zhenhua Guo
AU  - Yangjie Liu
Y1  - 2020/09/23
PY  - 2020
N1  - https://doi.org/10.11648/j.ijtet.20200603.14
DO  - 10.11648/j.ijtet.20200603.14
T2  - International Journal of Transportation Engineering and Technology
JF  - International Journal of Transportation Engineering and Technology
JO  - International Journal of Transportation Engineering and Technology
SP  - 95
EP  - 101
PB  - Science Publishing Group
SN  - 2575-1751
UR  - https://doi.org/10.11648/j.ijtet.20200603.14
AB  - Transportation agencies face the challenging task to maintain, preserve and improve infrastructure condition while with limited funding. Pavements are one of the major assets of roadway systems and pavement management system (PMS) are broadly accepted and implemented by agencies and organizations to maintain pavement structures at a high level of service. PMS is a set of tools to support the decision-making process for determining the demand of maintenance, prioritizing projects and optimizing funding allocation. Pavement condition monitoring may be evaluated or assessed by means of various indicators. Performance indicators are an essential part in a PMS, individual performance indicators (IPIs) and combined performance indicators (CPIs) are proposed to monitor and report pavement conditions. IPIs characterize the general condition of the various types of pavement distress which can be related to road performance. The CPI for each road type can be developed or calculated from IPIs. Focus on network level analysis of road pavements, the objective of this paper is to review and compare the development and application of performance indicators for assessment of pavement condition of different country’s guidelines. The utilization and integration mechanism of individual indicator are described and compared among selected country guidelines. The prospective indicators and techniques for future application are further discussed. It can be conclude from this study that the majority studied guidelines have placed great emphasis on surface distress and roughness for pavement condition assessment; international roughness index (IRI) is the most commonly used parameter for evaluation of road roughness due to its objectivity while the determination of surface distress is more subjective. The integration methods from IPIs into CPIs can be summarized as “deduct system method”, “sum system method”, “weighted sum method” and “equation method”.
VL  - 6
IS  - 3
ER  -

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