User-Oriented Model to Support Funding Decisions in Pavement Management

Abstract

A new choice model for corrective road maintenance work based on an economic evaluation of users’ expectations and perceptions about road quality is proposed. Because uncertainty affects human subjective perception processes, the model uses fuzzy sets to deal with this kind of uncertainty. Accordingly, the international roughness index was first fuzzified by combining users’ perceptions about pavement conditions with ranges of speeds for four different categories of rural roads. These fuzzy values were then used to calculate vehicle operating costs and freeflow speed. The latter can be considered a function of the international roughness index and the law enforcement factor. To calculate this factor, a fuzzy inference system was set up. Vehicle operating costs and free-flow speed, as well as the value of time, were then used to calculate the travel cost perceived by users. The model finds, through fuzzy maximization of the difference between perceived travel costs before and after interventions, the best allocation of the available budget for a rural road network. In other words, the results suggest the extent of interventions on specific road sections. An application to a real network shows how the proposed model may be used.

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References

Colonna

Dell'Orco

Fioretti

and Sasso

. A Novel Approach to the Road Maintenance Planning, Based on the Possibility Theory. Presented at 13th Mini-EURO Conference, Bari, Italy, 2002.

Zadeh

L. A.

Fuzzy Sets. Information and Control, Vol. 8, 1965, pp. 338–353.

Zimmermann

H. J.

Fuzzy Set Theory and Its Applications. Kluwer Academic Publishers, Dordrecht, Netherlands, 1991.

Klir

G. J.

and Folger

T. A.

. Fuzzy Sets, Uncertainty and Information. Prentice Hall, Englewood Cliffs, N.J., 1988.

Elton

D. J.

and Juang

C. H.

. Asphalt Pavement Evaluation Using Fuzzy Sets. In Transportation Research Record 1196, TRB, National Research Council, Washington, D.C., 1988, pp. 1–6.

Fwa

T. F.

Sinha

K. C.

and Riverson

J. D. N.

. Highway Routine Maintenance Programming at Network Level. Journal of Transportation Engineering, Vol. 114, No. 5 1988, pp. 539–554.

Fwa

T. F.

and Chan

W. T.

. Priority Rating of Highway Maintenance Needs Neural Networks. Journal of Transportation Engineering, Vol. 119, No. 3 1993, pp. 419–433.

Fwa

T. F.

Chan

W. T.

and Tan

C. Y.

. Road-Maintenance Planning Using Genetic Algorithms. II. Analysis. Journal of Transportation Engineering, Vol. 120, No. 5 1994, pp. 710–722.

Fwa

T. F.

Chan

W. T.

and Tan

C. Y.

. Optimal Programming by Genetic Algorithms for Pavement Management. In Transportation Research Record 1455, TRB, National Research Council, Washington, D.C., 1994, pp. 31–41.

10.

Chan

W. T.

Fwa

T. F.

and Hoque

K. Z.

. Constraint Handling Methods in Pavement Maintenance Programming. Transportation Research, Part C: Emerging Technologies, Vol. 9, 2001, pp. 175–190.

11.

Sittithumwat

Tomsovic

and Soudi

. Optimizing Maintenance Resources in Distribution Systems with Limited Information. Presented at 1999 International Conference on Intelligent System Application to Power Systems, Rio de Janeiro, Brazil, 1999, pp. 185–190.

12.

Cook

W. D.

Goal Programming and Financial Planning Models for Highway Rehabilitation. Journal of the Operational Research Society, Vol. 35, 1984, pp. 217–223.

13.

Hugo

F. W.

Scholtz

Sinclair

and Curtayne

P. C.

. Management of Pavement Rehabilitation. European Journal of Operational Research, Vol. 42, 1989, pp. 129–141.

14.

Worm

J. M.

and van Harten

. Model Based Decision Support for Planning of Road Maintenance. Reliability Engineering and System Safety, Vol. 51, 1996, pp. 305–316.

15.

Friesz

T. L.

and Fernandez

J. E.

. A Model of Optimal Transport Maintenance with Demand Responsiveness. Transportation Research, Part B: Methodological, Vol. 13, 1979, pp. 317–339.

16.

Markow

M. J.

and Balta

W. S.

. Optimal Rehabilitation Frequencies for Highway Pavements. In Transportation Research Record 1035, TRB, National Research Council, Washington, D.C., 1985, pp. 31–43.

17.

Tsunokawa

and Schofer

J. L.

. Trend Curve Optimal Control Model for Highway Pavement Maintenance: Case Study and Evaluation. Transportation Research, Part A: Policy and Practice, Vol. 28, 1994, pp. 151–166.

18.

and Madanat

. A Steady-State Solution for the Optimal Pavement Resurfacing Problem. Transportation Research, Part A: Policy and Practice, Vol. 36, 2002, pp. 525–535.

19.

Murakami

and Turnquist

M. A.

. Dynamic Model for Scheduling Maintenance of Transportation Facilities. In Transportation Research Record 1030, TRB, National Research Council, Washington, D.C., 1985, pp. 8–14.

20.

Al-Subhi

Johnston

D. W.

and Farid

. Resource Constrained Capital Budgeting Model for Bridge Maintenance, Rehabilitation and Replacement. In Transportation Research Record 1268, TRB, National Research Council, Washington, D.C., 1990, pp. 110–117.

21.

Jacobs

T. L.

Optimal Long-Term Scheduling of Bridge Deck Replacement and Rehabilitation. Journal of Transportation Engineering, Vol. 118, No. 2 1992, pp. 312–322.

22.

Ouyang

and Madanat

. Optimal Scheduling of Rehabilitation Activities for Multiple Pavement Facilities: Exact and Approximate Solutions. Transportation Research, Part A: Policy and Practice, Vol. 38, 2004, pp. 347–365.

23.

Jiang

Zhang

W. J.

and Ji

. Selecting the Best Alternative Based on Life-Cycle Cost Distributions of Alternatives. International Journal of Production Economics, Vol. 89, 2004, pp. 69–75.

24.

Kuhn

K. D.

and Madanat

S. M.

. Model Uncertainty and the Management of a System of Infrastructure Facilities. Transportation Research, Part C: Emerging Technologies, Vol. 13, 2005, pp. 391–404.

25.

Falls

L. C.

Haas

McNeil

and Tighe

. Asset Management and Pavement Management: Using Common Elements to Maximize Overall Benefits. In Transportation Research Record: Journal of the Transportation Research Board, No. 1769, TRB, National Research Council, Washington, D.C., 2001, pp. 1–10.

26.

Smith

J. T.

and Tighe

S. L.

. Analytic Hierarchy Process as a Tool for Infrastructure Management. In Transportation Research Record: Journal of the Transportation Research Board, No. 1974, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 3–9.

27.

Sayers

M. W.

Gillespie

T. D.

and Paterson

D. O.

. Guidelines for Conducting and Calibrating Road Roughness Measurements. World Bank Technical Paper 46. World Bank, Washington, D.C., 1986.

28.

Sayers

M. W.

Gillespie

T. D.

and Queiroz

C. A. V.

. The International Road Roughness Experiment: A Basis for Establishing a Standard Scale for Road Roughness Measurements. In Transportation Research Record 1084, TRB, National Research Council, Washington, D.C., 1986, pp. 76–85.

29.

Standard Practice for Computing International Roughness Index of Roads from Longitudinal Profile Measurements. In Annual Book of ASTM Standards, Vol. 04.03, ASTM, West Conshohocken, Pa., 1999.

30.

Janoff

M. S.

NCHRP Report 308: Pavement Roughness and Readability Field Evaluation. TRB, National Research Council, Washington, D.C., 1988.

31.

Sayers

M. W.

and Karamihas

S. M.

. Estimation of Rideability by Analyzing Longitudinal Road Profile. In Transportation Research Record 1536, TRB, National Research Council, Washington, D.C., 1996, pp. 110–116.

32.

Loizos

and Plati

. Road Roughness Measured by Profilograph in Relation to Users's Perception and the Need for Repair: A Case Study. Presented at International Conference on Pavement Evaluation, Roanoke, VA, 2002.

33.

Shafizadeh

and Mannering

. Statistical Modeling of User Perceptions of Infrastructure Condition: Application to the Case of Highway Roughness. Journal of Transportation Engineering, Vol. 132, No. 2, Feb. 2006, pp. 133–140.

34.

Shafizadeh

Mannering

and Perce

. A Statistical Analysis of Factors Associated with Driver-Perceived Road Roughness on Urban Highways. Research Project T1803, Task 28. Washington State Transportation Center, University of Washington, Seattle, 2002.

35.

De Solminihac

Salsilli

Köhler

and Bengoa

. Analysis of Pavement Serviceability for the AASHTO Design Method: The Chilean Case. Arabian Journal for Science and Engineering, Vol. 28, No. 2B, 2003, pp. 143–160.

36.

Chou

E. Y.-J.

and Yau

J.-T.

, Development of Speed-Related Ride Quality Thresholds Using International Roughness Index. In Transportation Research Record: Journal of the Transportation Research Board, No. 1974, Transportation Research Board of the National Academies, Washington, D.C., 2006, pp. 47–53.

37.

Italian Road Regulation Code. Italian Ministry of Transportation, Rome, 1992 (in Italian).

38.

Bonini

Un Algoritmo per la Programmazione della Manutenzione Autostradale. Presented at X Annual Meeting of SIIV, Catania, Italy, 2000 (in Italian).

39.

Istruzioni sulla Pianificazione della Manutenzione Stradale. Report125/1988. Consiglio Nazionale delle Ricerche, Rome, 1988 (in Italian).

40.

Quaderno Tecnico sulla Manutenzione delle Pavimentazioni Stradali. Associazione Italiana Bitume e Asfalto Strade, Rome, 2004 (in Italian).

41.

Lombardy Region. Catalogo degli Interventi di Manutenzione sulle Pavimentazioni Stradali. Attachment C to Regional Official Report, First Special Supplement to No. 8. Direzione Generale Infrastructure e Mobilità della Regione Lombardia, Milan, Italy, 2006 (in Italian).

42.

Van Hiep

and Tsunokawa

. Optimal Maintenance Strategies for Bituminous Pavements: A Case Study in Vietnam Using HDM-4 with Gradient Methods. Journal of the Eastern Asia Society for Transportation Studies, Vol. 6, 2005, pp. 1123–1136.

43.

Gatti

Contributo per la Determinazione di una Politica Ottimale di Manutenzione di una Rete Stradale. Autostrade, Vol. 2, 1983, pp. 21–32 (in Italian).

44.

Norme per gli Interventi di Adeguamento delle Strade Esistenti (bozza al 25.0.4.2005). Italian National Committee on Adjustment Intervention on Existing Roads, Rome, 2005 (in Italian).

45.

Kerali

H. R.

The Highway Development and Management Series. In International Study of Highway Development and Management, Vol. 1 and 4. Permanent International Association of Road Congresses—World Road Association, Paris, 2000.

46.

Mamdani

E. H.

and Assilian

. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller. International Journal of Man–Machine Studies, Vol. 7, No. 1, 1975, pp. 1–13.

47.

Sugeno

Industrial Applications of Fuzzy Control. Elsevier Science Publishing Co., New York, 1985.

48.

Costi Economici e Sociali della Mobilità, Incidentalità, Inquinamento e Trasporto delle Merci Pericolose. Final Report. Italian Ministry of Infrastructures and Transportation, Rome, and Department of Architecture and Planning, Technical University of Milan, Milan, Italy, 2006 (in Italian).

49.

Apulia Region. In Statistical Yearbook, Istituto Nazionale di Statistica, Rome, 2004.

50.

Ente Nazionale per le Strade, ANAS spa District of Bari, Elenco dei Prezzi Unitari per Lavori Straordinari, Rev. 2. Azienda Nazionale Autonoma delle Strade, 2005 (in Italian).

51.

Transport, Appendix 7.17. In Regional Balkans Infrastructure Study. Improvement/Up-Grading of M25 Pristina-Prizren-Vrbnica. Final Report. Prefeasibility Study YU-KO-H-04. European Commission, 2003. www.seerecon.org/infrastructure/sectors/transport/documents/REBIS/

52.

Implementation Completion Report on a Credit in the Amount of SDR 15.9 million to the Republic of Djibouti for the International Road Corridor Rehabilitation Project. Report 34886-DJI. World Bank, Washington, D.C., 2006.

53.

Catalogo delle Pavimentazioni Stradali. Supplement to AISCAT Informazioni 3–4 July–September and October–December. Consiglio Nazionale delle Ricerche, Rome, 1993 (in Italian).

54.

Iskander

M. G.

Comparison of Fuzzy Numbers Using Possibility Programming: Comments and New Concepts. Computer & Mathematics with Applications, Vol. 43, 2002, pp. 833–840.