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Articles

A microscale evaluation of pavement roughness effects for asset management

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Pages 323-333 | Received 26 Oct 2012, Accepted 02 Apr 2013, Published online: 29 Apr 2013

References

  • Benbow, E., et al., 2008. Intelligent roads (INTRO): deliverable 3.1 demonstration of methods for the measurement of condition using probe vehicles. London: TRL Ltd.
  • Bennett, C. and Paterson, W.D., 2000. A guide to calibration and adaptation of HDM-4. In: Rodrigo Archondo-Callao, ed. The highway development and management series.Washington, DC: The World Bank. Available from: http://web.worldbank.org/WBSITE/EXTERNAL/TOPICS/EXTTRANSPORT/EXTROADSHIGHWAYS/0,contentMDK:22011461∼pagePK:148956∼piPK:216618∼theSitePK:338661,00.html.
  • Chatti, K. and Zaaber, I., 2012. Estimating the effects of pavement condition on vehicle operating costs. Washington, DC: Transportation Research Board of the National Academies NCHRP Report 720.
  • EPA/Eurobitum2, 2004. Environmental impacts and fuel efficiency of road pavements. Industry report.
  • Eriksson, J., et al., 2008. The pothole patrol: using a mobile sensor network for road surface monitoring. In: Anmol Sheth and US. Intel Research, eds. International conference on mobile systems, applications, and services – MobiSys. pp. 29–39. Available from: http://www.sigmobile.org/mobisys/2008/cfp#organizers.
  • Fambro, D.B., et al., 2000. Driver braking performance in stopping sight distance situations. Transportation Research Record: Journal of the Transportation Research Board, No. 1701, Transportation Research Board of the National Academies, Washington, DC, 9–16.
  • Laganier, R. and Lucas, J., 1990. The influence of pavement evenness and macrotexture on fuel consumption. In: W.E.Myer and J.Reichert, eds. Surface characteristics of roadways: international research and technologies. Philadelphia, PA: American Society for Testing and Materials, 454–459. Available from: http://www.astm.org/DIGITAL_LIBRARY/STP/SOURCE_PAGES/STP1031.htm.
  • Nadiri, M.I. and Mamuneas, T.P., 1996. Contribution of highway capital to industry and national productivity growth. Washington, DC: FHWA, U.S. Department of Transportation.
  • Paterson, W.D.O. and Scullion, T., 1990. Information systems for road management: draft guidelines on system design and data issues. Washington, DC: The World Bank.
  • Queiroz, C. and Gautham, S., 1992. Road infrastructure and economic development: some diagnostic indicators. Washington, DC: The World Bank.
  • Rakha, H., Snare, M., and Dion, F., 2004. Vehicle dynamics model for estimating maximum vehicle acceleration. Transportation Research Record: Journal of the Transportation Research Board, No. 1883, Transportation Research Board of the National Academies, Washington, DC, 40–49.
  • Sandberg, U., 1990. Road macro- and megatexture influence on fuel consumption. In: W.E.Myer and J.Reichert, eds. Surface characteristics of roadways: international research and technologies. Philadelphia, PA: American Society for Testing and Materials, 460–479. Available from: http://www.astm.org/DIGITAL_LIBRARY/STP/SOURCE_PAGES/STP1031.htm.
  • Santero, N.J. and Horvath, A., 2009. Global warming potential of pavements. Environmental Research Letter, 4, 1–7.
  • Santero, N.J., Masanet, E., and Horvath, A., 2011. Life-cycle assessment of pavements. Part I: Critical review. Resources, Conservation and Recycling, 55, 801–809.
  • Sayers, M. and Karamihas, S., 1998. The little book of profiling. Ann Arbor, MI: Transportation Research Institute, University of Michigan.
  • Timm, D.H. and McQueen, J.M., 2004. A study of manual vs. automated pavement condition surveys. Auburn, AL: Highway Research Center, Harbert Engineering Center, Auburn University.
  • U.S. Department of Transportation, Federal Highway Administration, National Transportation Statistics 2011, Highway Statistics [online]. Available from: http://www.fhwa.dot.gov/policyinformation/statistics.cfm [Accessed July 2012].
  • U.S. EPA, 2010. MOVES2010 highway vehicle population and activity data. Washington, DC: U.S. Environmental Protection Agency.
  • Wang, T., et al., 2012. Life cycle energy consumption and GHG emission from pavement rehabilitation with different rolling resistance. Journal of Cleaner Production, 33, 86–96.
  • Zhang, H., et al., 2010. Dynamic life-cycle modeling of pavement overlay systems: capturing the impacts of users, construction, and roadway deterioration. Journal of Infrastructure Systems, 16, 299–309.

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