Incorporating road safety Into rural road network pavement management

References

• Alberti, S. and Fiori, F., 2019. Integrating risk assessment into pavement management systems. Journal of Infrastructure Systems, 25 (1). doi:10.1061/(ASCE)IS.1943-555X.0000472.
   Web of Science ®Google Scholar
• Alfronsi, R., et al., 2016. Advancements in road safety management analysis. Transportation Research Procedia, 14, 2064–2073.
   Google Scholar
• Alhasan, A., et al., 2018. Impact of pavement surface condition on roadway departure crash risk in iowa. Infrastructures, 3 (2), 14–30.
   Google Scholar
• Asia Development Bank, 2018. CAREC Road Safety Engineering Manual 1: road safety audit. Phillipines: Asian Development Bank.
   Google Scholar
• Atkinson, J. E., et al., 2014. Manual for selecting safety improvements on high risk rural roads. United States: US Department of Transportation.
   Google Scholar
• Augeri, M.G., Greco, S., and Nicolosi, V., 2019. Planning urban pavement maintenance by a New interactive multiobjetive optimization approach. European Transport Research Review, 11, 17. doi:10.1186/s12544-019-0353-9.
   Web of Science ®Google Scholar
• Brimley, B.K., Saito, M., and Schultz, G., 2012. Calibration of Highway Safety Manual safety performance function. Transportation Research Record: Journal of the Transportation Research Board, 2279 (10), 82–89.
   Google Scholar
• Cafiso, S., Cava, G. L., and Montella, A., 2007. Safety index for evaluation of Two-Lane Rural highways. Transportation Research Record: Journal of the Transportation Research Board, 2019 (17), 136–145.
   Google Scholar
• Cafiso, S., D’Agostino, C., and Persaud, B., 2018. Investigating the influence of segmentation in estimating safety performance functions for roadway sections. Journal of Traffic and Transportation Engineering (English Edition), 5 (2), 129–136.
   Google Scholar
• Chandler, B. E., et al., 2013. Signalized intersections informational guide, second edition. United States: US Department of Transportation.
   Google Scholar
• Chikezie, C. U., Olowosulu, A.T., and Abejide, O.S., 2013. Multi-Objective optimization for pavement maintenance and rehabilitation programming using Genetic algorithms. Archives of Applied Science Research, 5, 76–83.
   Google Scholar
• Demasi, F., Loprencipe, G., and Moretti, L., 2018. Road safety analysis of urban roads: case study of an Italian municipality. Safety, 4 (4), 58.
   Web of Science ®Google Scholar
• Dissanayaka, S., et al., 1999. Use of multi-criteria decision making to identify the critical highway safety needs of special population group. Transportation Research Record: Journal of the Transportation Research Board, 1693 (1), 13–17.
   Google Scholar
• Donev, V. and Hoffmann, M., 2018. Optimization of pavement maintenance and rehabilitation activities, timing work zones for short survey sections and multiple distress types. International Journal of Pavement Engineering, 21 (5), 583–607. doi:10.1080/10298436.2018.1502433.
   Web of Science ®Google Scholar
• EuroRAP, 2020. European Road Assessment Program. Available from: https://www.eurorap.org/protocols. [Accessed February 02, 2020].
   Google Scholar
• Farhan, J., 2011. Integrated prioritization, and optimization approach for pavement management. Thesis. National University of Singapore, Singapore.
   Google Scholar
• Ferreira, A.J.L., Jesus, J.M.S.A., and Pinto, J.S.M., 2010. Road safety management system for oliveira do bairro. Proceedings of the Institution of Civil Engineers – Transport, 163 (3), 143–155.
   Web of Science ®Google Scholar
• Gamage, D., Pasindu, H.R., and Bandara, S.J., 2016. Pavement roughness evaluation method for low volume roads. In: 8th International conference on maintenance and rehabilitation of pavements, 5–7 December 2016 Singapore, 976–985.
   Google Scholar
• García-Segura, T., et al., 2020. Incorporating pavement deterioration uncertainty into pavement management optimization. International Journal of Pavement Engineering, doi:10.1080/10298436.2020.1837827.
   Web of Science ®Google Scholar
• Gharaibeh, N., Chiu, Y., and Gurain, P., 2006. Decision methodology for allocating funds across Transportation infrastructure assets. Journal of Infrastructure Systems, 12 (1), 1–9.
   Web of Science ®Google Scholar
• Gunantara, N. A., 2018. Review of multi-objective optimization: methods and Its applications. Cogent Engineering, 5 (1), doi:10.1080/23311916.2018.1502242.
   PubMed Web of Science ®Google Scholar
• Gupta, D.P., 2019. Maintenance and Safety Enhancements of Rural Road Networks. In: Expert Group Meeting on Enhancing Rural Transport Connectivity to Regional and International Transport Networks, 9-10 July 2019 Bangkok.
   Google Scholar
• Hafez, M., Ksaibati, K., and Atadero, R., 2017. Best practices to support and improve pavement management systems for low-volume paved roads. International Journal of Pavement Engineering, 20 (5), 592–599. doi:10.1080/10298436.2017.1316648.
   Web of Science ®Google Scholar
• Hall, J. W., et al., 2009. Guide for Pavement Friction. National Cooperative Highway Research Program (NCHRP-108), Transport Research Board.
   Google Scholar
• Harwood, D.W. and Hans, Z. N., 2018. usRAP coding Manual for star ratings and safer roads Investment plans. United States: United States Road Assessment Program.
   Google Scholar
• iRAP, International Road Assessment Program. Available from: https://www.irap.org/. [Accessed January 30, 2020].
   Google Scholar
• Jayasinghe, C. and Ratnayake, L., 2001. Traffic accident cost analysis. Engineer: Journal of the Institution of Engineers, Sri Lanka, 34 (3), 61–72.
   Google Scholar
• Karndacharuk, A. and Hillier, P., 2019. Guide to road safety part 6: managing road safety audits. Sydney: Austroads Ltd.
   Google Scholar
• Lambert, J. H., et al., 2013. Climate change and priority setting for transportation infrastructure assets. Journal of Infrastructure System, 19 (1), 36–46.
   Web of Science ®Google Scholar
• Loprencipe, G., et al., 2018. Prioritization methodology for roadside and guardrail improvement: quantitative calculation of safety level and optimization of resources allocation. Journal of Traffic and Transportation Engineering (English Edition), 5 (5), 348–360.
   Google Scholar
• Mehta, G. and Lou, Y., 2013. Safety Performance Function Calibration and Development for the State of Alabama: Two-Lane Two-Way Rural Roads and Four-Lane Divided Highways. In: 92nd Annual Meeting of the Transportation Research Board, 13-17 January 2013 Washington, DC, USA.
   Google Scholar
• Mohan, D., et al., 2006. Road traffic injury prevention training manual. New Delhi: World Health Organization.
   Google Scholar
• Montella, A., 2005. Safety reviews of existing roads: quantitative safety Assessment methodology. Transportation Research Record: Journal of the Transportation Research Board, 1992 (1), 62–72.
   Google Scholar
• Ono, Y., Silcock, D., and Teknomo, G.G., 2013. International lessons for road safety in the people’s republic of China. Manila: Asia Development Bank.
   Google Scholar
• Pasindu, H.R., Sandamal, R.M.K., and Perera, M.Y.I., 2020. A Framework for Network Level Pavement Maintenance Planning for Low Volume Roads. In: 9th International Conference on Maintenance and Rehabilitation of Pavements—Mairepav9, 1-3 July 2020 Zurich, Switzerland.
   Google Scholar
• Persaud, B., et al., 2016. Safety effectiveness of centerline plus shoulder rumble strips on Two-Lane Rural roads. Journal of Transportation Engineering, 142 (5).
   Google Scholar
• Rajabi, M., Ogle, J.H., and Gerard, P., 2018. Highway Safety Manual calibration: assessing alternate definitions of the calibration factor. Transportation Research Record: Journal of the Transportation Research Board, 2672, 99–108.
   Web of Science ®Google Scholar
• Road Development Authority, 2021. Highway Schedule of rates. Colombo: Ministry of Highways, Sri Lanka.
   Google Scholar
• Sandamal, R.M.K. and Pasindu, H.R., 2020. Applicability of smartphone-based roughness data for rural road pavement condition evaluation. International Journal of Pavement Engineering, doi:10.1080/10298436.2020.1765243.
   Web of Science ®Google Scholar
• Santos, J., Ferreira, A., and Flintsch, G., 2017. An adaptive hybrid genetic algorithm for pavement management. International Journal of Pavement Engineering, 20 (3), 266–286.
   Web of Science ®Google Scholar
• Shafii, M.A.B., 2009. Skid resistance and the effect of temperature. Malaysia: University of Technology.
   Google Scholar
• Silva, R.J. and Ferreira, A., 2019. Pavement maintenance considering traffic accident costs. International Journal of Pavement Research and Technology, 12, 562–573.
   Google Scholar
• Silva, R. J., Ferreira, A., and Flintsch, G., 2016. Incorporating Road Safety into pavement management. Coimbra: Universidade De Coimbra.
   Google Scholar
• Wali, B., et al., 2018. Development of safety performance functions: Incorporating unobserved heterogeneity and functional form analysis. Transportation Research Record: Journal of the Transportation Research Board, 2672 (30), 9–20. doi:10.1177/0361198118767409.
   Web of Science ®Google Scholar
• Wegman, F., 2019. IRTAD Road Safety Annual Report 2019. France: International Transport Forum.
   Google Scholar
• World Bank Blogs. Available from: https://blogs.worldbank.org/transport/world-bank-launches-road-safety-performance-and-appraisal-tool. [Accessed April 07, 2021].
   Google Scholar
• Wu, L., Lord, D., and Geedipally, S.R., 2017. Developing crash modification factors for horizontal curves on rural Two-lane undivided Highways using a cross sectional study. Transportation Research Record: Journal of the Transportation Research Board, 2636 (1), 53–61.
   Google Scholar