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International Journal of BIM and Engineering Science
Volume 5 , Issue 2, PP: 47-65 , 2022 | Cite this article as | XML | Html |PDF

Title

Comparative Study Between the Pavement Condition Indices

  E. M. Ibrahim 1 *

1  Civil Engineering Department, Delta Higher Institute of Engineering and Technology, Mansoura 35516, Egypt
    (engemanmagdy@yahoo.com)


Doi   :   https://doi.org/10.54216/IJBES.050204

Received: May 08, 2022 Accepted: August 19, 2022

Abstract :

Highways perform a seminal role in the economic development for any country. The road network is a crucial infrastructure that needs to be developed and kept in a function able condition; so that, its benefits can be achieved. For ages, pavements were kept but not administered. The expertise of the pavement engineer determined the choice of Maintenance and Repair (M&R) methods regardless of the expense and quality of the life cycle as opposed to other pavement segments in the map of the roads` network. Nowadays, in the light of economic environment, since the pavement infrastructure has worn out, a more organized and disciplined way to specify M&R needs and priorities seems a must. To keep the pavements well, the factors affecting pavement performance need to be identified. Examples of such factors are climate, drainage, material properties, construction quality and traffic loads. Due to exposure to traffic and environmental factors distresses show up with time throughout the service life of the pavement. Thus, pavement performance is negatively affected and if not treated at the right time, the service life will be shorter along with inferior ride quality. In order to evaluate pavement condition and thus its performance, a reliable pavement condition index is needed. This index is based upon pavement condition surveys which can be conducted either manual (visual inspection) or automated (by a van). If the quality of the pavement is assessed and the distresses are identified, there are currently several indices available for evaluating pavement performance. This paper presents a comparative study between the pavement condition indices to determine the most suitable method for implementation in roads.

Keywords :

Pavement survey; Pavement evaluation; Flexible pavement distresses; Pavement condition index.

References :

[1]  Flintsch, G. W.,  Pavement Management Applications Using Geographic Information Systems. Transportation Research Board, 335, 2004.

[2]  Hafez,  M.,  Best  Practices  to  Support  and  Improve  Pavement  Management  Systems  for  LowVolume Paved Roads-Phase I, 2018.

[3]  Shahin, M. Y. and Kohn, S. D. (1982) Overview of the’PAVER’Pavement Management System and  Economic  Analysis  of  Field  Implementing  the’PAVER’Pavement  Management  System, Construction Engineering Research Lab (Army) Champaign Ill, USA.

[4]  Attoh-Okine, N. and Adarkwa, O. (2013) ‘Pavement Condition Surveys--Overview of Current Practices’, Delaware Center for Transportation, University of Delaware: Newark, DE, USA.

[5]  Haas,  R.  and  Hudson,  W.  R.  (1978).  Pavement  Management  Systems.  Transport  and  Road Research Laboratory (TRRL), ISBN: 0-07-025391-9. Report/Paper Numbers:  TRIS,  00184537

[6]  Huang,  W.,  Geo-technique  Improvement  Evaluation  of  Subgrade  Layer  Under  Geogrid Reinforced  Aggregate  Layer  by  Finite  Element  Method.  International  Journal  of  Civil Engineering, 12(3), 2014. 

[7]  Yoder, E.J. and Witczak, M.W. (1975) Principle of Pavement Design. 2nd Edition, John Wiley & Sons.

[8]  Sayers,  M.  W.  (1998)  The  Little  Book  of  Profiling:  Basic  Information  About  Measuring  and Interpreting Road Profiles, University of Michigan, Ann Arbor, Transportation Research Institute, Brazil.

[9]  Wang,  W.  &  Huang,  R.X.,  Wind  Energy  Input  to  the  Surface  Waves.  Journal  of  Physical Oceanography, 34(5), 1276–1280, 2004.

[10]   Shahin, M.Y. and Kohn, S.D., 1979. Development of a Pavement Condition Rating Procedure for Roads,  Streets,  and  Parking  Lots.  Volume  I.  Conditions  Rating  Procedure.  Construction engineering research lab (army) Champaign ill.

[11]   ASTM D-6433-07 (2007). Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys. Annual Book of ASTM Standards, 97 (Reapproved), 1–7. 

[12]   ECP, 2008. Egyption Code of Practice for Urban and Rural Roads, Housing and Building National Central Research.

[13]   Shahin,  M.  Y. and  Walther, J.  A.  (1990)  Pavement  Maintenance  Management  for  Roads  and Streets Using The PAVER System, Construction Engineering Research Lab (Army) Champaign Ill, USA.

[14]   Prasad, J.R., Kanuganti, S., Bhanegaonkar, P.N., Sarkar, A.K. and Arkatkar, S., Development of Relationship  Between  Roughness  (IRI)  and  Visible  Surface  Distresses:  A  Study  on  PMGSY Roads, Procedia-Social and Behavioral Sciences. Elsevier, 104, 322–331, 2013.

[15]   Park, K., Thomas, N. E. and Wayne Lee, K. (2007) ‘Applicability of The International Roughness Index As A Predictor of Asphalt Pavement Condition’, Journal of Transportation Engineering. American Society of Civil Engineers, 133(12), pp. 706–709.

[16]   FHWA (1997). Asset Management. Advancing the State of the Art into the 21st Century Through Public-Private Dialogue. Federal Highway Administration and the American Association of State Highway and Transportation Officials. Publication No. FHWA-RD-97-046, Washington D.C.

[17]   ASTM International, Designation: D 6433 –  99. “Standard Practice for Roads and Parking Lots Pavement Condition Index Surveys”. Website (www.astm.org).

[18]   Carey,  W.  N.  and  Irick,  P.  E.  (1960)  ‘The  Pavement  Serviceability-Performance  Concept: Highway Research Board Bulletin, 250’, National Research Council, Washington, DC.

[19]   Shahin, M. Y., Darter, M. I. and Kohn, S. D. (1978) Development of a Pavement Condition Index for Roads and Streets, book, construction engineering research lab (army) champaign ill, USA.

[20]   ODOT (The Ohio Department of Transportation), Pavement Condition Rating System. 4(10), 1–3, 2004.

[21]   Nam, B. H., An, J., Kim, M., Murphy, M. R. and Zhang, Z.,  Improvements to The Structural Condition Index (SCI) for Pavement Structural Evaluation at Network Level. International J. of Pavement Engineering, 17(8), 680–697, 2016.

[22]   Lashlee, J., Chaney, D. and Bearden, K. (2004) ‘Pavement Management System Report’, Public Works Department. Planning and Design Division, City of Bowling Green, Utah, USA.

[23]   Tighe,  S.  L.,  Ningyuan,  L.  and  Kazmierowski,  T.  (2008)  ‘Evaluation  of  Semiautomated  and Automated  Pavement  Distress  Collection  for  Network-Level  Pavement  Management’, Transportation Research Record. SAGE Publications Sage CA: Los Angeles, CA, 2084(1), 11–17, 2008.

[24]   Gautam,  G.  P.  (2015)  Local Calibration  of  MEPDG  Rutting  Models  for  Ontario’s  Superpave Pavements. MSc Thesis, Ryerson University, Ontario, Canada.

[25]   Bardeesi, M. W. and Attallah, Y.,  Evaluation of Pavement Conditions and Maintenance Works for  Road  Network  in  Saudi  Arabia,  European  Scientific  Journal.  European  Scientific  Journal, 11(29), 2015.

[26]   Hafez,  M.,  Ksaibati,  K.  and  Atadero,  R.,  Best  Practices  to  Support  and  Improve  Pavement Management  Systems  for  Low-Volume  Paved  Roads,  International  Journal  of  Pavement Engineering. Taylor & Francis, 20(5), pp. 592–599, 2019.

[27]   Jannat,  G.  E.  and  Tighe,  S.  L.  (2015),  Performance  Based  Evaluation  of  Overall  Pavement Condition Indices for Ontario Highway Systems, in TAC 2015: Getting You There Safely-2015 Conference and Exhibition of the Transportation Association of Canada.

[28]   Reza, F and Boriboonsomsin, K and Bazlamit, S (2006) Development of a Pavement Quality Index  for  the  State  of  Ohio.  In:  85th  Annual  Meeting  of  the  Transportation  Research  Board, Washington D.C.

[29]   Papagiannakis, A. et al. (2009), Pavement Scores Synthesis’, Project FHWA 0-6386 Report No. FHWA/TX-09/0-6386-1, 7(2), p. 152. Available at: http://tti.tamu.edu/documents/0-6386-1.

[30]   Al-Mansour,  A.,  Flexible  Pavement  Distress  Prediction  Model  for  the  City  of  Riyadh,  Saudi Arabia, Emirates Journal for Engineering Research, 9(1), pp. 81–88, 2004.

[31]   Smith,  K.  L.,  Titus-Glover,  L.  and  Evans,  L.  D.  (2002),  Pavement  Smoothness  IndexRelationships: Final Report.

[32]   Abo-Hashema,  M.  A.  and  Sharaf,  E.  A.,  Development  of  Maintenance  Decision  Model  for Flexible Pavements’, International Journal of Pavement Engineering. Taylor & Francis, 10(3), 173–187, 2009.

[33]   Ibrahim,  E.M.,  El-Badawy,  S.M.,  Ibrahim,  M.H.  and  Elbeltagi,  E.,  A  Modified  Pavement Condition  Rating  Index  for  Flexible  Pavement  Evaluation  in  Egypt. Innovative  Infrastructure Solutions, 5,1-17, 2020.


Cite this Article as :
Style #
MLA E. M. Ibrahim. "Comparative Study Between the Pavement Condition Indices." International Journal of BIM and Engineering Science, Vol. 5, No. 2, 2022 ,PP. 47-65 (Doi   :  https://doi.org/10.54216/IJBES.050204)
APA E. M. Ibrahim. (2022). Comparative Study Between the Pavement Condition Indices. Journal of International Journal of BIM and Engineering Science, 5 ( 2 ), 47-65 (Doi   :  https://doi.org/10.54216/IJBES.050204)
Chicago E. M. Ibrahim. "Comparative Study Between the Pavement Condition Indices." Journal of International Journal of BIM and Engineering Science, 5 no. 2 (2022): 47-65 (Doi   :  https://doi.org/10.54216/IJBES.050204)
Harvard E. M. Ibrahim. (2022). Comparative Study Between the Pavement Condition Indices. Journal of International Journal of BIM and Engineering Science, 5 ( 2 ), 47-65 (Doi   :  https://doi.org/10.54216/IJBES.050204)
Vancouver E. M. Ibrahim. Comparative Study Between the Pavement Condition Indices. Journal of International Journal of BIM and Engineering Science, (2022); 5 ( 2 ): 47-65 (Doi   :  https://doi.org/10.54216/IJBES.050204)
IEEE E. M. Ibrahim, Comparative Study Between the Pavement Condition Indices, Journal of International Journal of BIM and Engineering Science, Vol. 5 , No. 2 , (2022) : 47-65 (Doi   :  https://doi.org/10.54216/IJBES.050204)