Identification and Prioritization of Accident-Prone Segments using International Roughness Index

Document Type: Research Paper

Authors

1 MSc. Graduate, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

2 Assistant Professor, Malayer University, Hamedan, Iran

3 Professor, Department of Civil and Environmental Engineering, Tarbiat Modares University, Tehran, Iran

4 MSc. Student, Department of Civil and Environmental Engineering, Amirkabir University of Technology, Tehran, Iran

Abstract

During last decades, owing to the increase in a number of vehicles, the rate of accident occurrence grows significantly. Efforts must be made to provide efficient tools to prioritize segments requiring safety improvement and identify influential factors on accidents. This objective of the research was to determine the safety oriented threshold of International Roughness Index (IRI) to recognize Accident-Prone Segments (APSs) using new segmentation method. The modified Floating Fixed-length Segmentation (FFLS) was performed based upon the determined safety oriented IRI threshold with respect to the available literature. Floating fixed-length patterns with lengths of 100, 200 and 500 meters were moved over an entire length of a selected highway to detect segments with IRI values higher than the threshold. To diminish the lack of heterogeneity in characteristics of segments, it was proposed to analyze adjacent road segments with a similar pattern of IRI variation, as a unit.  Owing to the limitation in road maintenance and rehabilitation costs for safety improvement, the entire APSs cannot be treated. Therefore, prioritization and selection of APSs were followed by imposing constraints upon the preservation of different percentages of the highway. Results indicated that the assumed safety oriented threshold of IRI and the modified segmentation method led to correct recognition of segments with high IRI associated with low level of safety. Application of the proposed method using 200-meter floating segment resulted in the shortest length of APSs for safety improvement. The outcomes lead to preserving the most deteriorated segments considering budget constraints. Furthermore, the validation supported the outcomes in which most of the segments were selected from sections with PCI values of 30 or 19. The latter supports the results achieved by the determined IRI threshold and segmentation method. Therefore, considering safety issues as well as maintenance operations would result in optimal use of available budget.

Keywords


- AASHTO (2010) “Highway safety manual”, First ed. American Association of State Highway and Transportation Officials, Washington, DC.

- ASTM D6433-11 (2011) "Standard practice for roads and parking lots pavement condition index surveys", ASTM International, West Conshohocken, PA, 2011, www.astm.org

- Abulizi, N. and Kawamura, A., Tomiyama, K. and Fujita, S. (2016) "Measuring and evaluating of road roughness conditions with a compact road profiler and ArcGIS", Journal of Traffic and Transportation Engineering (English edition), Vol. 3,  No.5, pp. 398-411.

- Alian S., Baker, R. G. V. and Wood, S. (2016) "Rural casualty crashes on the Kings Highway: A new approach for road safety studies", Accident Analysis and Prevention, Vol.95, pp. 8–19.

- Anastasopoulos, P.Ch., Sarwar, M.T. and Shankar, V. N. (2016) "Safety oriented pavement performance thresholds: Accounting for unobserved heterogeneity in a multi-objective optimization and goal programming approach", Analytic Methods in Accident Research, Vol.12, pp. 35–47.

- Arhin, S. A., Noel, E.C. and Ribbiso, A.  (2015) "Acceptable international roughness index thresholds based on present serviceability rating", Journal of Civil Engineering Research, Vol.5, No.4, pp. 90-96.

- Bester Ch. J. (2003) “The effect of road roughness on safety”, Transportation Research Board.

- Boroujerdian, A. M., Saffarzadeh, M, Yousefi, H. and Ghasemian, H. (2014) "A model to identify high crash road segments with the dynamic segmentation method", Accident Analysis and Prevention, Vol.73, pp. 274–287.

- Chan, C.Y., Huang, B., Yan, X. and Richards, S. (2009) "Relationship between highway pavement condition, crash frequency and crash type”, Journal of Transportation Safety and Security, Vol.1, No.4, pp. 268-281.

- Dewan, S.A. (2006) "Improving pavements with long-term pavement performance: products for today and tomorrow paper 2. Transforming LTPP distress information for use in MTC-PMS”, Report, Publication Number: FHWA-RD-03-049

- District of Columbia. Department of Transportation (2008) "Special provision for pavement Ride Quality", USA: Department of Transportation

- Elyasi, M. R., Saffarzadeh, M. and Boroujerdian, A. M. (2016) "A novel dynamic segmentation model for identification and prioritization of black spots based on the pattern of potential for safety improvement", Transportation Research Part A, Vol.91, pp. 346–357.

- Elyasi, M. R., Saffarzadeh, M., Boroujerdian, A. M., Semnarshad, M. and Mazaehri, M. (2017) “Prioritization of suburban accident factors based on analytical network process”, International Journal of Transportation Engineering (IJTE), Vol. 5, No. 2, pp. 201-213.

- Fakhri, M. (2010) “Determining International Roughness Index (IRI) for road pavement in Iran”, Road and Urban Planning Ministry of Iran, Transportation Research Institute. (In Persian)

- Farnsworth, J. (2013) "Hot spot identification and analysis methodology" MSc Thesis, Department of Civil and Environmental Engineering, Brigham Young University.

- Federal Highway Administration- FHWA (1999) "Status of the nation’s highways, bridges, and transit: Conditions and performance", Report to congress. Report FHWA-PL-08-017.

- Harms-Ringdahl, L. (2013) "Guide to safety analysis for accident prevention", IRS Riskhantering AB, Stockholm, Sweden.

- Hicks, R., Seeds, S. and Peshkin, D. (2000) "Selecting a preventive maintenance treatment for flexible pavements", Technical Report for Foundation for Pavement Preservation.

- Kavussi, A., Semnarshad, M. and Saffarzadeh, M. (2016) “Providing the maintenance and rehabilitation model of primary road network using life cycle cost analysis - Case Study South Khorasan Province”, Journal of Transportation Engineering, Vol.9, No.2, pp. 209-230.

- Labi, S., Lamptey, G., Konduri, S. and Sinha, K. (2005) "Analysis of long-term effectiveness of thin hot-mix asphaltic concrete overlay treatments", Transportation Research Record 1940, pp. 3–12.

- Lamptey, G., Ahmad, M., Labi, S. and Sinha, K. (2005) "Life cycle cost analysis for INDOT pavement design procedures", Purdue University, West Lafayette, IN, (FHWA/IN/JTRP-2004-2028).

- Li, Y., Liu, C. and Ding, L. (2013) "Impact of pavement conditions on crash severity", Accident Analysis and Prevention, Vol.59, pp. 399– 406.

- Sarwar, M.T. and Anastasopoulos, P.Ch. (2017) "The effect of long term non-invasive pavement deterioration on accident injury-severity rates: A seemingly unrelated and multivariate equations approach", Analytic Methods in Accident Research, Vol.1, pp.1–15.

- Sayers, M.W.  (1995) "On the calculation of international roughness index from longitudinal road profile", Transportation Research Record, Issue Number: 1501, Transportation Research Board, ISSN: 0361-1981.

- Semnarshad, M. (2016) "Providing the Iran major road network rehabilitation model for asphalt pavement”, M.Sc. thesis, Tarbiat Modares University, Tehran. Iran (In Persian).

- Shafizadeh, K. and Mannering, F.L. (2003) "Acceptability of pavement roughness on urban highways by driving public", Transportation Research Record, 1860, pp. 187–193.

- Shahnazari, H., Tutunchian, M A., Mashayekhi, M. and Amini, A. A. (2014) "Application of soft computing for prediction of pavement condition index", Journal of Transportation Engineering, Vol.138, No.12, pp. 1495-1506.

- Vistisen, D. (2002) “Models and methods for hot spot safety works”, PhD Dissertation, Department for Informatics and Mathematical Models, Technical. University of Denmark, Lyngby.

- Wolters, A., Zimmerman, K. and Schattler, K. (2011) "Implementing pavement management systems for local agencies", ICT-11-094-1. Illinois Center for Transportation, Rantoul.